Home | Publications

Publications by Our Members

2026

[2381]

Y. Ni • R. Liang • X. Hao • J. Cheng • Q. Wang • C. Huang • C. Zou • W. Zhou • W. Ding • B. W. Schuller
Affine Modulation-based Audiogram Fusion Network for Joint Noise Reduction and Hearing Loss Compensation.
Information Fusion 127. Part A.103726. Mar. 2026. DOI GitHub

2025

[2380]

R. D. Paul • J. Seiffarth • D. Rügamer • H. Scharr • K. Nöh
Reliable Cell Trackers Say 'I dunno!'.
MedEurIPS @EurIPS 2025 - Workshop Medical Imaging meets EurIPS at the European Conference on Information Processing Systems. Copenhagen, Denmark, Dec 03-05, 2025. To be published. Preprint available. URL

[2379]

S. Ofori-Ampofo • R. S. Kuzu • P. Schauer • M. Willberg • A. Höhl • X. Zhu
On the strategy of exploring spatio-temporal information from Earth observation data for crop yield prediction.
Smart Agricultural Technology 12.101540. Dec. 2025. DOI

[2378]

Y. Wang • D. Frauen • J. Schweisthal • S. Feuerriegel
How reliable are treatment effects in clinical trials with dropout?
CauScien @NeurIPS 2025 - Workshop on Uncovering Causality in Science at the 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. To be published. Preprint available. URL

[2377]

C. Kolb • L. Frost • B. Bischl • D. Rügamer
Differentiable Sparsity via $D$-Gating: Simple and Versatile Structured Penalization.
NeurIPS 2025 - 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. Spotlight Presentation. To be published. Preprint available. arXiv

[2376]

O. Dhaouadi • R. Marin • J. Meier • J. Kaiser • D. Cremers
OrthoLoC: UAV 6-DoF Localization and Calibration Using Orthographic Geodata.
NeurIPS 2025 - 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. To be published. Preprint available. arXiv GitHub

[2375]

T. Löhr • P. Hofman • F. Mohr • E. Hüllermeier
Credal Prediction based on Relative Likelihood.
NeurIPS 2025 - 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. To be published. Preprint available. arXiv

[2374]

Y. Ma • D. Frauen • J. Schweisthal • S. Feuerriegel
LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding.
NeurIPS 2025 - 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. To be published. Preprint available. arXiv

[2373]

R. Römer • A. Kobras • L. Worbis • A. P. Schöllig
Failure Prediction at Runtime for Generative Robot Policies.
NeurIPS 2025 - 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. To be published. Preprint available. arXiv GitHub

[2372]

L. Veloso • L. Hirlimann • P. Wicke • H. Schütze
SLAyiNG: Towards Queer Language Processing.
QueerInAI @NeurIPS 2025 - Queer in AI Workshop at the 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. arXiv

[2371]

S. Chen • Z. Li • Z. Han • B. He • T. Liu • H. Chen • G. Groh • P. Torr • V. Tresp • J. Gu
Deep Research Brings Deeper Harm.
ReliableML @NeurIPS 2025 - Workshop on Reliable ML from Unreliable Data at the 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. To be published. Preprint available. arXiv GitHub

[2370]

J. Lan • Z. Liu • T. Seidl
Human Uncertainty-Aware Reliable Data Selection and Efficient Annotation for Visual Question Answering.
ReliableML @NeurIPS 2025 - Workshop on Reliable ML from Unreliable Data at the 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. To be published. Preprint available. URL

[2369]

Y. Zhang • Y. Wu • H. Zhang • W. Li • H. Chen • G. Li • Z. Han • V. Tresp
GroundedPRM: Tree-Guided and Fidelity-Aware Process Reward Modeling for Step-Level Reasoning.
SEA @NeurIPS 2025 - Workshop on Scaling Environments for Agents at the 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. To be published. Preprint available. URL

[2368]

W. Durani • P. Jahn • T. Seidl • C. Plant • C. Böhm
MNN-Closure Meets Local Maxima: A Double-Knee Approach to Anomaly Detection.
ICDM 2025 - 25th IEEE International Conference on Data Mining. Washington DC, USA, Nov 12-15, 2025. To be published.

[2367]

E. Panagiotou • B. Ronval • A. Roy • L. Bothmann • B. Bischl • S. Nijssen • E. Ntoutsi
TABFAIRGDT: A Fast Fair Tabular Data Generator using Autoregressive Decision Trees.
ICDM 2025 - 25th IEEE International Conference on Data Mining. Washington DC, USA, Nov 12-15, 2025. To be published. Preprint available. arXiv

[2366]

E. Garces Arias • H. Blocher • J. Rodemann • M. Aßenmacher • C. Jansen
Statistical Multicriteria Evaluation of LLM-Generated Text.
INLG 2025 - 18th International Natural Language Generation Conference. Hanoi, Vietnam, Nov 05-09, 2025. To be published. Preprint available. arXiv

[2365]

P. Mondorf • M. Wang • S. Gerstner • A. D. Hakimi • Y. Liu • L. Veloso • S. Zhou • H. Schütze • B. Plank
BlackboxNLP-2025 MIB Shared Task: Exploring Ensemble Strategies for Circuit Localization Methods.
BlackboxNLP @EMNLP 2025 - 8th Workshop on Analyzing and Interpreting Neural Networks for NLP at the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2364]

N. Nikeghbal • A. H. Kargaran • J. Diesner
CoBia: Constructed Conversations Can Trigger Otherwise Concealed Societal Biases in LLMs.
EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. GitHub

[2363]

J. O. Alabi • M. A. Hedderich • D. I. Adelani • D. Klakow
Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Ahead.
EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2362]

L. Bertolazzi • P. Mondorf • B. Plank • R. Bernardi
The Validation Gap: A Mechanistic Analysis of How Language Models Compute Arithmetic but Fail to Validate It.
EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2361]

B. Chen • Y. J. Liu • A. Korhonen • B. Plank
Threading the Needle: Reweaving Chain-of-Thought Reasoning to Explain Human Label Variation.
EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2360]

Y. Du • P. Mondorf • S. Casola • Y. Yao • R. Litschko • B. Plank
Reason to Rote: Rethinking Memorization in Reasoning.
EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2359]

F. Ghorbanpour • D. Dementieva • A. Fraser
Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data.
EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2358]

P. Hong • B. Chen • S. Peng • M.-C. de Marneffe • B. Plank
LiTEx: A Linguistic Taxonomy of Explanations for Understanding Within-Label Variation in Natural Language Inference.
EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2357]

Y. Liu • R. Chen • L. Hirlimann • A. D. Hakimi • M. Wang • A. H. Kargaran • S. Rothe • F. Yvon • H. Schütze
On Relation-Specific Neurons in Large Language Models.
EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv GitHub

[2356]

S. M. Lo • S. Casola • E. Sezerer • V. Basile • F. Sansonetti • A. Uva • D. Bernardi
PERSEVAL: A Framework for Perspectivist Classification Evaluation.
EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. PDF

[2355]

H. Luo • Q. Cheng • D. Matos • H. K. Gadi • Y. Zhang • L. Liu • Y. Wang • N. Zeller • D. Cremers • L. Meng
TurnBack: A Geospatial Route Cognition Benchmark for Large Language Models through Reverse Route.
EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv GitHub

[2354]

Y. Shen • W. Lai • S. Wang • G. Gao • K. Luo • A. Fraser • M. Sun
From Unaligned to Aligned: Scaling Multilingual LLMs with Multi-Way Parallel Corpora.
EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2353]

Z. S. Taghavi • A. Modarressi • Y. Ma • H. Schütze
ImpliRet: Benchmarking the Implicit Fact Retrieval Challenge.
EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv GitHub

[2352]

A. Testoni • B. Plank • R. Fernández
RACQUET: Unveiling the Dangers of Overlooked Referential Ambiguity in Visual LLMs.
EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2351]

M. Wang • S. Chen • K. Kersting • V. Tresp • Y. Ma
METok: Multi-Stage Event-based Token Compression for Efficient Long Video Understanding.
EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available.

[2350]

M. Wang • L. Lange • H. Adel • Y. Ma • J. Strötgen • H. Schütze
Language Mixing in Reasoning Language Models: Patterns, Impact, and Internal Causes.
EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2349]

C. Wu • B. Ma • Y. Liu • Z. Zhang • N. Deng • Y. Li • B. Chen • Y. Zhang • Y. Xue • B. Plank
M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis.
EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2348]

Y. Zhang • C. Lin • S. Tang • H. Chen • S. Zhou • Y. Ma • V. Tresp
SwarmAgentic: Towards Fully Automated Agentic System Generation via Swarm Intelligence.
EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv GitHub

[2347]

H. Chen • S. Szyller • W. Xu • N. Himayat
Soft Token Attacks Cannot Reliably Audit Unlearning in Large Language Models.
Findings @EMNLP 2025 - Findings of the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv GitHub

[2346]

D. Dementieva • N. Babakov • A. Fraser
EmoBench-UA: A Benchmark Dataset for Emotion Detection in Ukrainian.
Findings @EMNLP 2025 - Findings of the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2345]

Y. Ding • E. Garces Arias • M. Li • J. Rodemann • M. Aßenmacher • D. Chen • G. Fan • C. Heumann • C. Zhang
GUARD: Glocal Uncertainty-Aware Robust Decoding for Effective and Efficient Open-Ended Text Generation.
Findings @EMNLP 2025 - Findings of the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv GitHub

[2344]

F. Eichin • C. Schuster • G. Groh • M. A. Hedderich
Semantic Component Analysis: Introducing Multi-Topic Distributions to Clustering-Based Topic Modeling.
Findings @EMNLP 2025 - Findings of the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2343]

R. Litschko • V. Blaschke • D. Burkhardt • B. Plank • D. Frassinelli
Make Every Letter Count: Building Dialect Variation Dictionaries from Monolingual Corpora.
Findings @EMNLP 2025 - Findings of the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2342]

Y. Liu • M. Wang • A. H. Kargaran • F. Körner • E. Nie • B. Plank • F. Yvon • H. Schütze
Tracing Multilingual Factual Knowledge Acquisition in Pretraining.
Findings @EMNLP 2025 - Findings of the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv GitHub

[2341]

E. Nie • H. Schmid • H. Schütze
Mechanistic Understanding and Mitigation of Language Confusion in English-Centric Large Language Models.
Findings @EMNLP 2025 - Findings of the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2340]

A. Wang • D. Shu • Y. Wang • Y. Ma • M. Du
Improving LLM Reasoning through Interpretable Role-Playing Steering.
Findings @EMNLP 2025 - Findings of the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2339]

C. Wu • Y. Cai • Y. Liu • P. Zhu • Y. Xue • Z. Gong • J. Hirschberg • B. Ma
Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects.
Findings @EMNLP 2025 - Findings of the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2338]

R. Zhao • B. Chen • B. Plank • M. A. Hedderich
MAKIEval: A Multilingual Automatic WiKidata-based Framework for Cultural Awareness Evaluation for LLMs.
Findings @EMNLP 2025 - Findings of the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2337]

R. Zhao • A. Köksal • A. Modarressi • M. A. Hedderich • H. Schütze
Do We Know What LLMs Don't Know? A Study of Consistency in Knowledge Probing.
Findings @EMNLP 2025 - Findings of the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2336]

S. Zhou • S. Peng • S. Luebke • J. Haßler • M. Haim • S. M. Mohammad • B. Plank
What Media Frames Reveal About Stance: A Dataset and Study about Memes in Climate Change Discourse.
Findings @EMNLP 2025 - Findings of the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2335]

L. Zuo • P. Hong • O. Kraus • B. Plank • R. Litschko
Evaluating Large Language Models for Cross-Lingual Retrieval.
Findings @EMNLP 2025 - Findings of the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2334]

E. Leonardelli • S. Casola • S. Peng • G. Rizzi • V. Basile • E. Fersini • D. Frassinelli • H. Jang • M. Pavlovic • B. Plank • M. Poesio
LeWiDi-2025 at NLPerspectives: The Third Edition of the Learning with Disagreements Shared Task.
LeWiDi @EMNLP 2025 - Learning with Disagreements Track at the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2333]

C. Ma • Y. Liu • H. Ye • H. Schütze
Exploring the Role of Transliteration in In-Context Learning for Low-resource Languages Written in Non-Latin Scripts.
MRL @EMNLP 2025 - 5th Multilingual Representation Learning Workshop at the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2332]

H. Ye • A. Wisiorek • A. Maronikolakis • Ö. Alaçam • H. Schütze
A Federated Approach to Few-Shot Hate Speech Detection for Marginalized Communities.
MRL @EMNLP 2025 - 5th Multilingual Representation Learning Workshop at the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2331]

S. Eckman • B. Ma • C. Kern • R. Chew • B. Plank • F. Kreuter
Aligning NLP Models with Target Population Perspectives using PAIR: Population-Aligned Instance Replication.
NLPerspectives @EMNLP 2025 - 4th Workshop on Perspectivist Approaches to NLP at the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2330]

E. Garces Arias • J. Rodemann • C. Heumann
The Geometry of Creative Variability: How Credal Sets Expose Calibration Gaps in Language Models.
UncertaiNLP @EMNLP 2025 - 2nd Workshop on Uncertainty-Aware NLP at the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[2329]

S. Okabe • D. Dementieva • M. Di Marco • L. Edman • K. Hämmerl • M. Měškank • A. Hendrichowa • A. Fraser
Findings of the WMT 2025 Shared Task LLMs with Limited Resources for Slavic Languages: MT and QA.
WMT @EMNLP 2025 - 10th Conference on Machine Translation at the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. PDF

[2328]

J. Rauscher • M. Schmidt • U. Schlegel • M. Bieleke • J. Schüler • D. A. Keim
MotiVAtor: Analyzing Physical Activity Study Data in Lab and Life through Visual Analytics.
VAHC @VIS 2025 - 16th workshop on Visual Analytics in Healthcare at the IEEE Visualization Conference. Vienna, Austria, Nov 02-07, 2025. To be published.

[2327]

A. Triantafyllopoulos • A. Spiesberger • I. Tsangko • X. Jing • V. Distler • F. Dietz • F. Alt • B. W. Schuller
Vishing: Detecting social engineering in spoken communication — A first survey & urgent roadmap to address an emerging societal challenge.
Computer Speech and Language 94.101802. Nov. 2025. DOI

[2326]

S. Bamberger • R. Heckel • F. Krahmer
Approximating Positive Homogeneous Functions with Scale Invariant Neural Networks.
Journal of Approximation Theory 311.106177. Nov. 2025. DOI

[2325]

S. Lumpp • M. Drton
On weak convergence of Gaussian conditional distributions.
Statistics and Probability Letters 226.110497. Nov. 2025. DOI

[2324]

I. Ziegler • A. Köksal • D. Elliott • H. Schütze
CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and Augmentation.
Transactions of the Association for Computational Linguistics. Nov. 2025. To be published. Preprint available. arXiv

[2323]

Y. Huang • L. Thede • M. Mancini • W. Xu • Z. Akata
Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study.
GCPR 2025 - German Conference on Pattern Recognition. Freiburg, Germany, Oct 23-26, 2025. To be published. Preprint available. arXiv

[2322]

S. N. Rai • S. Karthik • M.-I. Georgescu • B. Caputo • C. Masone • Z. Akata
Road Obstacle Video Segmentation.
GCPR 2025 - German Conference on Pattern Recognition. Freiburg, Germany, Oct 23-26, 2025. To be published. Preprint available. arXiv

[2321]

J. Kappenberger • C. Strasser Ceballos • F. Gerdon • D. Szafran • F. Rupp • K. Eckert • H. Stuckenschmidt • R. Bach • F. Kreuter • C. Kern
Unintended Impacts of Automation for Integration? Simulating Integration Outcomes of Algorithm-Based Refugee Allocation in Germany.
AIES 2025 - AAAI/ACM Conference on AI, Ethics, and Society. Madrid, Spain, Oct 20-25, 2025. DOI

[2320]

C. Strasser Ceballos • M. Novotny • C. Kern
Beyond Proxy Variables: Extending Refugee Allocation Algorithms for Equitable Predictions.
AIES 2025 - AAAI/ACM Conference on AI, Ethics, and Society. Madrid, Spain, Oct 20-25, 2025. DOI

[2319]

U. N. Kanilmaz • G. M. Tavares • R. Oyamada • D. Schuster • T. Seidl
Introducing k-traceoids: A Structure-Preserving Trace Clustering Framework.
ML4PM @ICPM 2025 - 6th International Workshop on Leveraging Machine Learning in Process Mining at the 7th International Conference on Process Mining. Montevideo, Uruguay, Oct 20-24, 2025. PDF

[2318]

V. B. Yesilkaynak • V. G. Duque • M. Wysocki • M. F. Azampour • N. Navab • D. Mateus
UltraNBA Neural Bundle Adjustment for Pose Refinement in 3D Freehand Ultrasound.
APAH @ICCV 2025 - 1st Workshop on Advanced Perception for Autonomous Healthcare at the IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. URL GitHub

[2317]

Y. Xia • W. Ji • W. Chen • D. Cremers
CSG-Fusion: Consistent Sparse-View Gaussian Splatting via Matching-based Fusion.
E2E3D @ICCV 2025 - Workshop on End-to-End 3D Learning at the IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. Best Paper Award. To be published. Preprint available. URL

[2316]

I. A. Petrov • R. Marin • J. Chibane • G. Pons-Moll
TriDi: Trilateral Diffusion of 3D Humans, Objects, and Interactions.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. URL GitHub

[2315]

D. Zverev • T. Wiedemer • A. Prabhu • M. Bethge • W. Brendel • A. S. Koepke
VGGSounder: Audio-Visual Evaluations for Foundation Models.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published.

[2314]

J. Bader • L. Girrbach • S. Alaniz • Z. Akata
SUB: Benchmarking CBM Generalization via Synthetic Attribute Substitutions.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. URL GitHub

[2313]

S. A. Baumann • N. Stracke • T. Phan • B. Ommer
What If: Understanding Motion Through Sparse Interactions.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. URL

[2312]

W. Chen • G. Zhang • F. Wimbauer • R. Wang • N. Araslanov • A. Vedaldi • D. Cremers
Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. arXiv

[2311]

R. Hartwig • D. Muhle • R. Marin • D. Cremers
GECO: Geometrically Consistent Embedding with Lightspeed Inference.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. URL GitHub

[2310]

J. Huang • S. R. Vutukur • P. K. Yu • N. Navab • S. Ilic • B. Busam
RayPose: Ray Bundling Diffusion for Template Views in Unseen 6D Object Pose Estimation.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. URL GitHub

[2309]

A. Jevtić • C. Reich • F. Wimbauer • O. Hahn • C. Rupprecht • S. Roth • D. Cremers
Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. URL GitHub

[2308]

S. Karthik • H. Coskun • Z. Akata • S. Tulyakov • J. Ren • A. Kag
Scalable Ranked Preference Optimization for Text-to-Image Generation.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. arXiv

[2307]

S. Kolek • A. Chattopadhyay • K. H. R. Chan • H. Andrade-Loarca • G. Kutyniok • R. Vidal
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. URL

[2306]

S. Kondylatos • N. Bountos • D. Michail • X. Zhu • G. Camps-Valls • I. Papoutsis
On the Generalization of Representation Uncertainty in Earth Observation.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. arXiv GitHub

[2305]

F. Krause • T. Phan • M. Gui • S. A. Baumann • V. T. Hu • B. Ommer
TREAD: Token Routing for Efficient Architecture-agnostic Diffusion Training.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. arXiv

[2304]

P. Ma • M. Gui • J. Schusterbauer • X. Yang • O. Grebenkova • V. T. Hu • B. Ommer
Stochastic Interpolants for Revealing Stylistic Flows across the History of Art.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. URL GitHub

[2303]

P. Ma • X. Yang • Y. Li • M. Gui • F. Krause • J. Schusterbauer • B. Ommer
SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. URL

[2302]

R. D. Paul • J. Seiffarth • D. Rügamer • K. Nöh • H. Scharr
How To Make Your Cell Tracker Say 'I dunno!'.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. URL

[2301]

S. Schmidt • J. Koerner • D. Fuchsgruber • S. Gasperini • F. Tombari • S. Günnemann
Prior2Former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. URL

[2300]

Y. Wang • Z. Xiong • C. Liu • A. J. Stewart • T. Dujardin • N. I. Bountos • A. Zavras • F. Gerken • I. Papoutsis • L. Leal-Taixé • X. Zhu
Towards a Unified Copernicus Foundation Model for Earth Vision.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. arXiv GitHub

[2299]

T. N. Wolf • E. Kavak • F. Bongratz • C. Wachinger
SIC: Similarity-Based Interpretable Image Classification with Neural Networks.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. URL GitHub

[2298]

P. Wulff • F. Wimbauer • D. Muhle • D. Cremers
Dream-to-Recon: Monocular 3D Reconstruction with Diffusion-Depth Distillation from Single Images.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. URL

[2297]

Y. Xia • Y. Lu • R. Song • O. Dhaouadi • J. F. Henriques • D. Cremers
TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. URL GitHub

[2296]

X. You • R. Yang • C. Zhang • Z. Jiang • J. Yang • N. Navab
FB-Diff: Fourier Basis-guided Diffusion for Temporal Interpolation of 4D Medical Imaging.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. URL

[2295]

L. Bastian • M. Rashed • N. Navab • T. Birdal
Forecasting Continuous Non-Conservative Dynamical Systems in SO(3).
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. Oral Presentation. arXiv

[2294]

X. Gong • O. Hahn • C. Reich • K. Singh • S. Schaub-Meyer • D. Cremers • S. Roth
Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery.
ILR+G @ICCV 2025 - Workshop on Instance-Level Recognition and Generation at the IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. arXiv GitHub

[2293]

S. Wang • Q. Cheng • Q. Cheng • W. Zhang • S.-C. Wu • N. Zeller • D. Cremers • N. Navab
VoxNeRF: Bridging Voxel Representation and Neural Radiance Fields for Enhanced Indoor View Synthesis.
IROS 2025 - IEEE/RSJ International Conference on Intelligent Robots and Systems. Hangzhou, China, Oct 19-25, 2025. To be published. Preprint available. DOI

[2292]

Y. Zhang • D. Huang • N. Navab • Z. Jiang
Tactile-Guided Robotic Ultrasound: Mapping Preplanned Scan Paths for Intercostal Imaging.
IROS 2025 - IEEE/RSJ International Conference on Intelligent Robots and Systems. Hangzhou, China, Oct 19-25, 2025. To be published. Preprint available. arXiv

[2291]

R. Liao • G. Huang • Q. Cheng • T. Seidl • D. Cremers • V. Tresp
When and Where do Events Switch in Multi-Event Video Generation?
LongVid-Foundations @ICCV 2025 - 1st Workshop on Long Multi-Scene Video Foundations: Generation, Understanding and Evaluation at the IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. arXiv

[2290]

N. T. Duc • A. Sonnweber • M. Weber • N. Araslanov • D. Cremers
The Diashow Paradox: Stronger 3D-Aware Representations Emerge from Image Sets, Not Videos.
SP4V @ICCV 2025 - Structural Priors for Vision Workshop at the IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. URL

[2289]

W. Li • J. Huang • H. Jung • G. Zhai • P. Z. Ramirez • A. Costanzino • F. Tosi • M. Poggi • L. Di Stefano • J.-B. Weibel • D. Antensteiner • M. Vincze • J. He • Y. Wang • K. Zhang • L. Jiao • L. Li • F. Liu • W. Ma • B. Busam
TRICKY 2025 HouseCat6D Object Pose Estimation Challenge with Specular and Transparent Surfaces.
TRICKY @ICCV 2025 - Transparent & Reflective objects In the wild Challenges at the IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. To be published. Preprint available. URL GitHub

[2288]

Z. Jonassen • K. Lawrence • B. M. Wiesenfeld • S. Feuerriegel • D. Mann
A qualitative analysis of remote patient monitoring: how a paradox mindset can support balancing emotional tensions in the design of healthcare technologies.
CSCW 2025 - 28th ACM SIGCHI Conference on Computer-Supported Cooperative Work and Social Computing. Bergen, Norway, Oct 18-22, 2025. To be published. Preprint available. DOI

[2287]

S. Chen • J. Liu • Z. Han • Y. Xia • D. Cremers • P. Torr • V. Tresp • J. Gu
True Multimodal In-Context Learning Needs Attention to the Visual Context.
COLM 2025 - Conference on Language Modeling. Montreal, Canada, Oct 07-09, 2025. URL GitHub

[2286]

L. von der Heyde
AIn't Nothing But a Survey? Using Large Language Models for Coding German Open-Ended Survey Responses on Survey Motivation.
NLPOR @COLM 2025 - 1st Workshop on Bridging NLP and Public Opinion Research at the Conference on Language Modeling. Montreal, Canada, Oct 07-09, 2025. URL

[2285]

L. von der Heyde
Who Counts? The Potentials and Pitfalls of Using LLMs in Survey Research.
NLPOR @COLM 2025 - 1st Workshop on Bridging NLP and Public Opinion Research at the Conference on Language Modeling. Montreal, Canada, Oct 07-09, 2025. URL GitHub

[2284]

S. Schluessel • B. Mueller • M. Drey • O. Tausendfreund • M. Rippl • L. Deissler • S. Martini • R. Schmidmaier • S. Stoecklein • M. Ingrisch
3D deep learning-based muscle volume quantification from thoracic CT as a surrogate for DXA-Derived appendicular muscle mass in older adults.
Aging Clinical and Experimental Research 37.296. Oct. 2025. DOI

[2283]

E. O. Riedel • F. Bongratz • P. T. Zebhauser • M. Mühlau • C. Wachinger • D. M. Hedderich
Febrile Infection-Related Epilepsy Syndrome (FIRES) in a Young Adult: A Case Report Highlighting Advanced Neuroimaging.
Clinical Neuroradiology . Oct. 2025. DOI

[2282]

C. Saueressig • C. Delbridge • D. Scholz • A. Kazemi • M. Z. Khan • M. Metz • B. Meyer • M. Mitsdoerffer • P. J. Schüffler • B. Wiestler
From histology to diagnosis: Leveraging pathology foundation models for glioma classification.
Computers in Biology and Medicine 197.Part A. Oct. 2025. DOI

[2281]

M. Abrahamowicz • M.-E. Beauchamp • A.-L. Boulesteix • T. P. Morris • W. Sauerbrei • J. S. Kaufman • o. b. o. t. STRATOS Simulation Panel
Efficient Computation of Image Persistence.
Discrete and Computational Geometry. Oct. 2025. DOI

[2280]

J. Löchner • M. Bolivar • L. Booth • S. Canella • M. Calobro • J. Firth • A. Garcia-Palacios • A. Kyritsaka • L. B. Sander • C. Seiferth • L. Seizer • . Teesson • J. Tyrowicz • L. Vogel • E. Wheeler • J. Wolstein • B. W. Schuller
Multidisciplinary perspectives on personalised prevention in youth mental health.
Frontiers in Digital Health 7. Oct. 2025. DOI

[2279]

M. Schlicher • Y. Li • S. M. K. Murthy • Q. Sun • B. W. Schuller
Emotionally Adaptive Support: A Narrative Review of Affective Computing for Mental Health.
Frontiers in Digital Health 7. Oct. 2025. DOI

[2278]

D. Ostermeier • J. Külz • M. Althoff
Automatic Geometric Decomposition for Analytical Inverse Kinematics.
IEEE Robotics and Automation Letters 10.10. Oct. 2025. DOI

[2277]

H. Li • X. Meng • X. Zuo • Z. Liu • H. Wang • D. Cremers
PG-SLAM: Photo-realistic and Geometry-aware RGB-D SLAM in Dynamic Environments.
IEEE Transactions on Robotics Early Access. Oct. 2025. DOI

[2276]

Á. F. Junquera • C. Kern
From rules to forests: rule-based versus statistical models for jobseeker profiling.
Journal for Labour Market Research 59.26. Oct. 2025. Preprint. DOI

[2275]

Y. S. Wang • M. Kolar • M. Drton
Confidence Sets for Causal Orderings.
Journal of the American Statistical Association. Oct. 2025. DOI

[2274]

Y. Bi • L. Huang • R. Clarenbach • R. Ghotbi • A. Karlas • N. Navab • Z. Jiang
Synomaly noise and multi-stage diffusion: A novel approach for unsupervised anomaly detection in medical images.
Medical Image Analysis 105.103737. Oct. 2025. DOI GitHub

[2273]

L. Skapetze • D. Koller • A. Zwergal • S. Feuerriegel • A. Rubinski • E. Grill
Monitoring changes in vitamin D levels during the COVID-19 pandemic with routinely-collected laboratory data.
Nature Communications 16.8772. Oct. 2025. DOI

[2272]

P. T. da Silva • A. Karollus • J. Hingerl • G. S. T. Galindez • N. Wagner • X. Hernandez-Alias • D. Incarnato • J. Gagneur
Nucleotide dependency analysis of genomic language models detects functional elements.
Nature Genetics 57. Oct. 2025. DOI

[2271]

J. Hingerl • L. D. Martens • A. Karollus • T. Manz • J. D. Buenrostro • F. J. Theis • J. Gagneur
scooby: Modeling multi-modal genomic profiles from DNA sequence at single-cell resolution.
Nature Methods. Oct. 2025. DOI

[2270]

O. Åström • C. Geldhauser • M. Grillitsch • O. Hall • A. Sopasakis
Enhancing Carbon Emission Reduction Strategies using OCO and ICOS data.
Scientific Reports 15.36297. Oct. 2025. DOI

[2269]

D. Dobler • H. Binder • A.-L. Boulesteix • J.-B. Igelmann • D. Köhler • U. Mansmann • M. Pauly • A. Scherag • M. Schmid • A. A. Tawil • S. Weber
ChatGPT as a Tool for Biostatisticians: A Tutorial on Applications, Opportunities, and Limitations.
Statistics in Medicine 44.23-24. Oct. 2025. DOI

[2268]

M. Wünsch • M. Noltenius • M. Mohr • T. P. Morris • A.-L. Boulesteix
Rethinking the Handling of Method Failure in Comparison Studies.
Statistics in Medicine. Oct. 2025. DOI

[2267]

N. Lercari • A. Fandrei • Z. Zellmann • Y. Du • M. Yacoub • D. Calderone • R. Brancato • S. Scerra • D. Tanasi • R. Lanteri • D. Rügamer
Semi-automated LiDAR Vegetation Classification for Mediterranean Archaeology: Designing a Pipeline Leveraging a Multi-Layer Stacked Ensemble Approach.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-M-9-2025. Oct. 2025. DOI GitHub

[2266]

P. Foth • L. Gosch • S. Geisler • L. Schwinn • S. Günnemann
Adversarial Robustness of Graph Transformers.
Transactions on Machine Learning Research. Oct. 2025. URL

[2265]

S. Rittel • S. Tschiatschek
Expressiveness of Parametrized Distributions over DAGs for Causal Discovery.
Transactions on Machine Learning Research. Oct. 2025. URL

[2264]

D. Köhler • D. Rügamer • L. Boyle • K. Maloney • M. Schmid
Achieving interpretable machine learning by functional decomposition of black-box models into explainable predictor effects.
npj Artificial Intelligence. Oct. 2025. To be published.

[2263]

H. Amad • Z. Qian • D. Frauen • J. Piskorz • S. Feuerriegel • M. van der Schaar
Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference.
Preprint (Oct. 2025). arXiv

[2262]

M. Bahrami • A. Tejada-Lapuerta • S. Becker • F. S. Hashemi G. • F. J. Theis
scConcept: Contrastive pretraining for technology-agnostic single-cell representations beyond reconstruction.
Preprint (Oct. 2025). DOI

[2261]

S. Ball • A. Haupt
Don't Walk the Line: Boundary Guidance for Filtered Generation.
Preprint (Oct. 2025). arXiv

[2260]

V. Biller • L. Zimmer • C. Erdur • S. Nagar • D. Rückert • N. Bubeck • J. Weidner
A Biophysically-Conditioned Generative Framework for 3D Brain Tumor MRI Synthesis.
Preprint (Oct. 2025). arXiv GitHub

[2259]

V. Blaschke • M. Winkler • B. Plank
Standard-to-Dialect Transfer Trends Differ across Text and Speech: A Case Study on Intent and Topic Classification in German Dialects.
Preprint (Oct. 2025). arXiv

[2258]

A.-L. Boulesteix • P. Callahan • L. Hanssum • V. Gaertner • E. Hoster
Bridging the Gap Between Methodological Research and Statistical Practice: Toward Translational Simulation Research.
Preprint (Oct. 2025). arXiv

[2257]

Z. Cao • X. Zhao • L. Krieger • H. Scharr • I. Assent
LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching.
Preprint (Oct. 2025). arXiv

[2256]

P. Cara • K. Zaripova • D. Bani-Harouni • N. Navab • A. Farshad
Knowledge Graph Sparsification for GNN-based Rare Disease Diagnosis.
Preprint (Oct. 2025). arXiv

[2255]

S. Chen • Z. Han • H. Chen • B. He • S. Si • J. Wu • P. Torr • V. Tresp • J. Gu
Bag of Tricks for Subverting Reasoning-based Safety Guardrails.
Preprint (Oct. 2025). arXiv GitHub

[2254]

D. Dementieva • E. Sukhodolskaya • A. Fraser
CrossNews-UA: A Cross-lingual News Semantic Similarity Benchmark for Ukrainian, Polish, Russian, and English.
Preprint (Oct. 2025). arXiv

[2253]

F. Dülmer • M. F. Azampour • N. Navab
UltraScatter: Ray-Based Simulation of Ultrasound Scattering.
Preprint (Oct. 2025). arXiv

[2252]

L. Edman • A. Fraser
Mask and You Shall Receive: Optimizing Masked Language Modeling For Pretraining BabyLMs.
Preprint (Oct. 2025). arXiv

[2251]

A. C. Erdur • D. Scholz • J. A. Buchner • D. Bernhardt • S. E. Combs • B. Wiestler • D. Rückert • J. C. Peeken
Independent Benchmarking of Prompt-Based Medical Segmentation Models.
Preprint (Oct. 2025). DOI

[2250]

A. Findeis • T. Kaufmann • E. Hüllermeier • R. Mullins
Feedback Forensics: A Toolkit to Measure AI Personality.
Preprint (Oct. 2025). arXiv GitHub

[2249]

F. Ghorbanpour • A. Fraser
Evaluating the Sensitivity of LLMs to Harmful Contents in Long Input.
Preprint (Oct. 2025). arXiv

[2248]

L. Girrbach • S. Alaniz • G. Smith • T. Darrell • Z. Akata
Person-Centric Annotations of LAION-400M: Auditing Bias and Its Transfer to Models.
Preprint (Oct. 2025). arXiv

[2247]

M. Gui • J. Schusterbauer • T. Phan • F. Krause • J. Susskind • M. A. Bautista • B. Ommer
Adapting Self-Supervised Representations as a Latent Space for Efficient Generation.
Preprint (Oct. 2025). arXiv

[2246]

X. Guo • R. Zhou • Y. Wang • Q. Zhang • C. Zhang • S. Jegelka • X. Wang • J. Chai • G. Yin • W. Lin • Y. Wang
SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning.
Preprint (Oct. 2025). arXiv

[2245]

T. Hannan • S. Wu • M. Weber • S. Shit • J. Gu • R. Koner • A. Ošep • L. Leal-Taixé • T. Seidl
SVAG-Bench: A Large-Scale Benchmark for Multi-Instance Spatio-temporal Video Action Grounding.
Preprint (Oct. 2025). arXiv

[2244]

C. Hobelsberger • T. Winner • A. Nawroth • O. Mitevski • A.-C. Haensch
Systematic Evaluation of Uncertainty Estimation Methods in Large Language Models.
Preprint (Oct. 2025). arXiv

[2243]

P. Hong • B. Chen • S. Peng • M.-C. de Marneffe • B. Roth • B. Plank
Agree, Disagree, Explain: Decomposing Human Label Variation in NLI through the Lens of Explanations.
Preprint (Oct. 2025). arXiv

[2242]

E. Javurek • V. Melnychuk • J. Schweisthal • K. Hess • D. Frauen • S. Feuerriegel
An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes.
Preprint (Oct. 2025). arXiv

[2241]

A. Khot • M. Oprescu • M. Schröder • A. Kagawa • X. Luo
Spatial Deconfounder: Interference-Aware Deconfounding for Spatial Causal Inference.
Preprint (Oct. 2025). arXiv

[2240]

S. Kim • R. Xiao • S. Alaniz • Y. Xian • Z. Akata
Training-free Uncertainty Guidance for Complex Visual Tasks with MLLMs.
Preprint (Oct. 2025). arXiv

[2239]

C. Kneissl • C. Bülte • P. Scholl • G. Kutyniok
Improved probabilistic regression using diffusion models.
Preprint (Oct. 2025). arXiv

[2238]

M. Kosmas • A.-S. Mayer • S. Feuerriegel • F. Bodendorf
From Code to Culture: Aligning Large Language Models with Corporate Values.
Preprint (Oct. 2025). DOI

[2237]

L. Kreitner • P. Hager • J. Mengedoht • G. Kaissis • D. Rückert • M. J. Menten
Efficient numeracy in language models through single-token number embeddings.
Preprint (Oct. 2025). arXiv

[2236]

J. Lan • Z. Liu • U. Schlegel • R. Zhao • Y. Liu • H. Schütze • M. A. Hedderich • T. Seidl
Human Uncertainty-Aware Data Selection and Automatic Labeling in Visual Question Answering.
Preprint (Oct. 2025). arXiv

[2235]

B. Lange • G. Keeling • A. Manzini • A. McCroskery
We Need Accountability in Human-AI Agent Relationships.
Preprint (Oct. 2025). URL

[2234]

Y. Li • R. Buchert • B. Schmitz-Koep • T. Grimmer • B. Ommer • D. M. Hedderich • I. Yakushev • C. Wachinger
Diffusion Bridge Networks Simulate Clinical-grade PET from MRI for Dementia Diagnostics.
Preprint (Oct. 2025). arXiv GitHub

[2233]

Y. Lin • S. Illing • M. Althoff
SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis.
Preprint (Oct. 2025). arXiv GitHub

[2232]

L. Lind • H. Sandström • P. Rinke
An interpretable molecular descriptor for machine learning predictions in atmospheric science.
Preprint (Oct. 2025). arXiv

[2231]

C. Liu • G. Perantoni • L. Bruzzone • X. Zhu
Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification.
Preprint (Oct. 2025). arXiv

[2230]

Y. Liu • M. Wang • F. Yvon • H. Schütze
On the Entity-Level Alignment in Crosslingual Consistency.
Preprint (Oct. 2025). arXiv

[2229]

Y. Liu • R. Zhao • L. Altinger • H. Schütze • M. A. Hedderich
Evaluating Robustness of Large Language Models Against Multilingual Typographical Errors.
Preprint (Oct. 2025). arXiv

[2228]

B. Ma • Y. Cao • I. Sen • A.-C. Haensch • F. Kreuter • B. Plank • D. Hershcovich
Too Open for Opinion? Embracing Open-Endedness in Large Language Models for Social Simulation.
Preprint (Oct. 2025). arXiv

[2227]

B. Ma • Y. Yao • A.-C. Haensch
Capabilities and Evaluation Biases of Large Language Models in Classical Chinese Poetry Generation: A Case Study on Tang Poetry.
Preprint (Oct. 2025). arXiv

[2226]

A. Maarouf • K. T. Greene • J. N. Shapiro • S. Feuerriegel • M. H. Ribeiro
Short-form video platforms drive mobile overuse.
Preprint (Oct. 2025). DOI

[2225]

R.-A. Matişan • V. T. Hu • G. Bartosh • B. Ommer • C. G. M. Snoek • M. Welling • J.-W. van de Meent • M. M. Derakhshani • F. Eijkelboom
Purrception: Variational Flow Matching for Vector-Quantized Image Generation.
Preprint (Oct. 2025). arXiv

[2224]

M. Müller • F. Finkeldei • H. Krasowski • M. Arcak • M. Althoff
Falsification-Driven Reinforcement Learning for Maritime Motion Planning.
Preprint (Oct. 2025). arXiv

[2223]

J. Orth • P. Mondorf • B. Plank
If Probable, Then Acceptable? Understanding Conditional Acceptability Judgments in Large Language Models.
Preprint (Oct. 2025). arXiv

[2222]

T. Ruiz • S. Peng • B. Plank • C. Schwemmer
BoN Appetit Team at LeWiDi-2025: Best-of-N Test-time Scaling Can Not Stomach Annotation Disagreements (Yet).
Preprint (Oct. 2025). arXiv

[2221]

T. Vatter • T. Nagler
Throwing Vines at the Wall: Structure Learning via Random Search.
Preprint (Oct. 2025). arXiv

[2220]

X. Wang • N. Joshi • B. Plank • R. Angell • H. He
Is It Thinking or Cheating? Detecting Implicit Reward Hacking by Measuring Reasoning Effort.
Preprint (Oct. 2025). arXiv

[2219]

Y. Wang • D. Frauen • J. Schweisthal • M. Schröder • S. Feuerriegel
Assessing the robustness of heterogeneous treatment effects in survival analysis under informative censoring.
Preprint (Oct. 2025). arXiv

[2218]

S. Xu • S. T. Y. S. S • B. Plank
From Noise to Signal to Selbstzweck: Reframing Human Label Variation in the Era of Post-training in NLP.
Preprint (Oct. 2025). arXiv

[2217]

G. Zhai • Y. Zhou • X. Deng • L. Heckler • N. Navab • B. Busam
Foundation Visual Encoders Are Secretly Few-Shot Anomaly Detectors.
Preprint (Oct. 2025). arXiv

[2216]

R. Zhao • Y. Liu • H. Schütze • M. A. Hedderich
A Comprehensive Evaluation of Multilingual Chain-of-Thought Reasoning: Performance, Consistency, and Faithfulness Across Languages.
Preprint (Oct. 2025). arXiv

[2215]

W. Zhou • B. Ma • A. Friedrich • M. Mesgar
Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluation.
Preprint (Oct. 2025). arXiv

[2214]

I. M. Grigore • G. M. Tavares • V. Pasquadibisceglie • S. Barbon Junior
Towards Trace Variant Explainability.
ADBIS 2025 - European Conference on Advances in Databases and Information Systems. Tampere, Finland, Sep 23-26, 2025. DOI

[2213]

V. Sideri-Lampretsa • D. Rückert • H. Qiu
Evaluation of Deformable Image Registration Under Alignment-Regularity Trade-Off.
BRIDGE @MICCAI 2025 - Workshop on Bridging Regulatory Science and Medical AI at 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub

[2212]

J. Weidner • I. Ezhov • M. Balcerak • A. Datchev • L. Zimmer • D. Rückert • B. Menze • B. Wiestler
From Fiber Tracts to Tumor Spread: Biophysical Modeling of Butterfly Glioma Growth Using Diffusion Tensor Imaging.
CDMRI @MICCAI 2025 - Workshop on Computational Diffusion MRI at 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. To be published. Preprint available. arXiv

[2211]

B. Zhang • A. Saad • H. Schunkert • N. Navab
Automated Constraint-Aware X-ray View Planning for Vascular Interventions Using Preoperative CTA.
CLIP @MICCAI 2025 - 14th International Workshop on Clinical Image-Based Procedures at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2210]

M. Hartenberger • H. Ayaz • F. Ozlugedik • C. Caredda • L. Giannoni • F. Lange • L. Lux • J. Weidner • A. Berger • F. Kofler • M. J. Menten • B. Montcel • I. Tachtsidis • D. Rückert • I. Ezhov
Redefining spectral unmixing for in-vivo brain tissue analysis from hyperspectral imaging.
CMMCA @MICCAI 2025 - Workshop on Computational Mathematics Modeling in Cancer Analysis at 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2209]

J. Weidner • M. Balcerak • I. Ezhov • A. Datchev • L. Lux • L. Zimmer • D. Rückert • B. Menze • B. Wiestler
A Lightweight Optimization Framework for Estimating 3D Brain Tumor Infiltration.
CMMCA @MICCAI 2025 - Workshop on Computational Mathematics Modeling in Cancer Analysis at 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2208]

T. D. Wang • T. Czempiel • N. Navab • L. Bastian
Mitigating Biases in Surgical Operating Rooms with Geometry.
COLAS @MICCAI 2025 - Workshop on Collaborative Intelligence and Autonomy in Image-guided Surgery at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. To be published. Preprint available. arXiv

[2207]

T. D. Wang • C. Heiliger • N. Navab • L. Bastian
TrackOR: Towards Personalized Intelligent Operating Rooms Through Robust Tracking.
COLAS @MICCAI 2025 - Workshop on Collaborative Intelligence and Autonomy in Image-guided Surgery at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. To be published. Preprint available. arXiv

[2206]

Y. Yeganeh • N. Navab • A. Farshad
MoViS: Motion-guided Video Generation for Laparoscopic Surgery.
CREATE @MICCAI 2025 - Workshop on Clinical-Driven Robotics and Embodied AI Technology at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI URL

[2205]

N. Bubeck • Y. Zhang • S. Shit • D. Rückert • J. Pan
Reconstruct or Generate: Exploring the Spectrum of Generative Modeling for Cardiac MRI.
DGM4 @MICCAI 2025 - 5th Deep Generative Models Workshop at 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2204]

J. Janelidze • L. Folle • N. Navab • M. F. Azampour
Tubular Anatomy-Aware 3D Semantically Conditioned Image Synthesis.
DGM4 @MICCAI 2025 - 5th Deep Generative Models Workshop at 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub

[2203]

D. Biagini • N. Navab • A. Farshad
HieraSurg: Hierarchy-Aware Diffusion Model for Surgical Video Generation.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2202]

F. Bongratz • T. N. Wolf • J. G. Ramon • C. Wachinger
X-SiT: Inherently Interpretable Surface Vision Transformers for Dementia Diagnosis.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2201]

M. Dannecker • D. Rückert
Predicting Longitudinal Brain Development via Implicit Neural Representations.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2200]

M. F. Dasdelen • H. Lim • M. Buck • K. S. Götze • C. Marr • S. Schneider
CytoSAE: Interpretable Cell Embeddings for Hematology.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub

[2199]

F. Dülmer • M. F. Azampour • M. Wysocki • N. Navab
UltraRay: Introducing Full-Path Ray Tracing in Physics-Based Ultrasound Simulation.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2198]

S. Herz • M. Wysocki • F. Tristram • J. Hickler • L. Neary-Zajiczek • C. Hennersperger • N. Navab • S. Wörz
ICE-PoGO: Improving Dynamic Panoramic Reconstruction of 4D ICE Imaging through Pose Graph Optimization.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2197]

F. Holm • G. Ünver • G. Ghazaei • N. Navab
CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub

[2196]

J. Jang • H. J. Lee • N. Navab • S. T. Kim
PRADA: Protecting and Detecting Dataset Abuse for Open-Source Medical Dataset.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2195]

S. Joutard • M. Stollenga • M. B. Sanchez • M. F. Azampour • R. Prevost
HyperSORT: Self-Organising Robust Training with hyper-networks.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub

[2194]

D. M. Lang • R. Osuala • V. Spieker • K. Lekadir • R. Braren • J. A. Schnabel
Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub

[2193]

X. Li • D. Huang • Y. Zhang • N. Navab • Z. Jiang
Semantic Scene Graph for Ultrasound Image Explanation and Scanning Guidance.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2192]

J. Liu • H. Li • C. Yang • M. Deutges • A. Sadafi • X. You • K. Breininger • N. Navab • P. J. Schüffler
HASD: Hierarchical Adaption for pathology Slide-level Domain-shift.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2191]

D. Scholz • A. C. Erdur • V. Ehm • A. Meyer-Baese • J. C. Peeken • D. Rückert • B. Wiestler
MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2190]

D. Scholz • A. C. Erdur • R. Holland • V. Ehm • J. C. Peeken • B. Wiestler • D. Rückert
Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2189]

A. Selivanov • P. Müller • Ö. Turgut • N. Stolt-Ansó • D. Rückert
Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub

[2188]

T. Song • F. Li • Y. Bi • A. Karlas • A. Yousefi • D. Branzan • Z. Jiang • U. Eck • N. Navab
Intelligent Virtual Sonographer (IVS): Enhancing Physician-Robot-Patient Communication.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2187]

T. Susetzky • H. Qiu1 • R. Braren • D. Rückert
A Holistic Time-Aware Classification Model for Multimodal Longitudinal Patient Data.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub

[2186]

C. K. Wong • A. N. Christensen • C. I. Bercea • J. A. Schnabel • M. G. Tolsgaard • A. Feragen
Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub

[2185]

M. Wysocki • F. Dülmer • A. Bal • N. Navab • M. F. Azampour
UltrON: Ultrasound Occupancy Networks.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub

[2184]

Z. Xu • H. Li • D. Sun • Z. Li • Y. Li • Q. Kong • Z. Cheng • N. Navab • S. K. Zhou
NeRF-based CBCT Reconstruction needs Normalization and Initialization.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2183]

Y. Yeganeh • M. Frantzen • M. Lee • K. Hsing-Yu • N. Navab • A. Farshad
DeepAf: One-Shot Spatiospectral Auto-Focus Model for Digital Pathology.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2182]

X. You • M. Zhang • H. Zhang • J. Yang • N. Navab
Temporal Differential Fields for 4D Motion Modeling via Image-to-Video Synthesis.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2181]

K. Yuan • T. Chen • S. Li • J. L. Lavanchy • C. Heiliger • E. Özsoy • Y. Huang • L. Bai • N. Navab • V. Srivastav • H. Ren • N. Padoy
Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI URL

[2180]

B. Zhang • C. Jia • S. Liu • H. Schunkert • N. Navab
Semantic-Aware Chest X-ray Report Generation with Domain-Specific Lexicon and Diversity-Controlled Retrieval.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub

[2179]

Y. Zhou • Y. Bi • W. Tong • W. Wang • N. Navab • Z. Jiang
UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2178]

H. Maier • S. Faghihroohi • P. Steininger • F. Wirth • A. Karlas • N. Navab
A Study in Scatter: Investigating Low-Contrast Image Contents Outside the X-Ray Collimation.
MSB EMERGE @MICCAI 2025 - 2nd MICCAI Student Board Emerge Workshop at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. To be published. Preprint available. URL

[2177]

S. J. Roughley • J. P. Müller • S. Gao • Z. Gao • M. Ligero • R. Blums • M. Crispin-Ortuzar • J. A. Schnabel • B. Kainz • C. I. Bercea • I. P. Machado
GroundingDINO for Open-Set Lesion Detection in Medical Imaging.
MSB EMERGE @MICCAI 2025 - 2nd MICCAI Student Board Emerge Workshop at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. To be published. Preprint available. URL

[2176]

B. Bulut • M. Dannecker • T. Sanchez • S. N. Silva • V. Zalevskyi • S. Jia • J.-B. Ledoux • G. Auzias • F. Rousseau • J. Hutter • D. Rückert • M. Bach Cuadra
Physics-Informed Joint Multi-TE Super-Resolution with Implicit Neural Representation for Robust Fetal T2 Mapping.
PIPPI @MICCAI 2025 - 10th Workshop in Perinatal, Preterm and Paediatric Image Analysis at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2175]

N. Niessen • C. M. Pirkl • A. B. Solana • H. Eichhorn • V. Spieker • W. Huang • T. Sprenger • M. I. Menzel • J. A. Schnabel
INR meets Multi-Contrast MRI Reconstruction.
RIME @MICCAI 2025 - 1st Workshop on Reconstruction and Imaging Motion Estimation at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2174]

A. F. Dima • S. Shit • H. Qiu • R. Holland • T. T. Mueller • F. Musio • K. Yang • B. Menze • R. Braren • M. R. Makowski • D. Rückert
Parametric shape models for vessels learned from segmentations via differentiable voxelization.
ShapeMI @MICCAI 2025 - Workshop on Shape in Medical Imaging at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2173]

M.-A. Gafencu • Y. Velikova • N. Navab • M. F. Azampour
US-X Complete: A Multi-Modal Approach to Anatomical 3D Shape Recovery.
ShapeMI @MICCAI 2025 - Workshop on Shape in Medical Imaging at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2172]

P. Madlindl • F. Bongratz • C. Wachinger
Template-Based Cortical Surface Reconstruction with Minimal Energy Deformation.
ShapeMI @MICCAI 2025 - Workshop on Shape in Medical Imaging at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2171]

I. Stoyanov • F. Bongratz • C. Wachinger
Spherical Brownian Bridge Diffusion Models for Conditional Cortical Thickness Forecasting.
ShapeMI @MICCAI 2025 - Workshop on Shape in Medical Imaging at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2170]

J. Suk • J. J. Wentzel • P. Rygiel • J. Daemen • D. Rückert • J. M. Wolterink
GReAT: leveraging geometric artery data to improve wall shear stress assessment.
ShapeMI @MICCAI 2025 - Workshop on Shape in Medical Imaging at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[2169]

C. Damke • E. Hüllermeier
Distribution Matching for Graph Quantification Under Structural Covariate Shift.
ECML-PKDD 2025 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. DOI

[2168]

P. Jahn • W. Durani • C. Leiber • A. Beer • T. Seidl
Going Offline: An Evaluation of the Offline Phase in Stream Clustering.
ECML-PKDD 2025 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. DOI GitHub

[2167]

P. Kopper • D. Rügamer • R. Sonabend • B. Bischl • A. Bender
On Training Survival Models with Scoring Rules.
ECML-PKDD 2025 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. DOI

[2166]

E. Özeren • A. Ulbrich • S. Filimon • D. Rügamer • A. Bender
Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety.
ECML-PKDD 2025 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. DOI

[2165]

J. Rodemann • F. Croppi • P. Arens • Y. Sale • J. Herbinger • B. Bischl • E. Hüllermeier • T. Augustin • C. J. Walsh • G. Casalicchio
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration For Exosuit Personalization.
ECML-PKDD 2025 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. DOI

[2164]

J. Herbinger • M. N. Wright • T. Nagler • B. Bischl • G. Casalicchio
Decomposing Global Feature Effects Based on Feature Interactions.
ECML-PKDD 2025 - Nectar Track at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. To be published. Preprint available. arXiv

[2163]

S. Rittel • S. Tschiatschek
Distributions over DAGs for Causal Discovery: Limitations of Expressiveness.
MLG @ECML-PKDD 2025 - 22nd International Workshop on Mining and Learning with Graphs at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. PDF

[2162]

F. K. Ewald • L. Bothmann • M. N. Wright • B. Bischl • G. Casalicchio • G. König
A Guide to Feature Importance Methods for Scientific Inference.
Nectar Track @ECML-PKDD 2025 - Nectar Track at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. DOI

[2161]

U. Schlegel • G. M. Tavares • T. Seidl
Towards Explainable Deep Clustering for Time Series Data.
TempXAI @ECML-PKDD 2025 - Workshop Explainable AI for Time Series and Data Streams at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. To be published.

[2160]

Y. Sale • A. Javanmardi • E. Hüllermeier
Aleatoric and Epistemic Uncertainty in Conformal Prediction.
COPA 2025 - 14th Symposium on Conformal and Probabilistic Prediction with Applications. Egham, UK, Sep 10-12, 2025. URL

[2159]

L. Schneider • B. Bischl • M. Feurer
Overtuning in Hyperparameter Optimization.
AutoML 2025 - Methods Track - Methods Track at the International Conference on Automated Machine Learning. New York City, NY, USA, Sep 08-11, 2025. To be published. URL

[2158]

T. Zehle • M. Schlager • T. Heiß • M. Feurer
CAPO: Cost-Aware Prompt Optimization.
AutoML 2025 - International Conference on Automated Machine Learning. New York City, NY, USA, Sep 08-11, 2025. To be published. Preprint available. arXiv

[2157]

A. S. Gutmann • M. M. Mandl • C. Rieder • D. J. Hoechter • K. Dietz • B. P. Geisler • A.-L. Boulesteix • R. Tomasi • L. C. Hinske
Comparing supervised machine learning algorithms for the prediction of partial arterial pressure of oxygen during craniotomy.
BMC Medical Informatics and Decision Making 25.326. Sep. 2025. DOI

[2156]

J. Hingerl • A. Karollus • J. Gagneur
Flashzoi: An enhanced Borzoi for accelerated genomic analysis.
Bioinformatics 41.19. Sep. 2025. DOI

[2155]

S. Dutta • T. Kaufmann • G. Glavaš • I. Habernal • K. Kersting • F. Kreuter • M. Mezini • I. Gurevych • E. Hüllermeier • H. Schütze
Problem Solving Through Human-AI Preference-Based Cooperation.
Computational Linguistics. Sep. 2025. DOI

[2154]

F. B. Pokorny • K. D. Bartl-Pokorny
Editorial: Artificial intelligence for child health and wellbeing.
Frontiers in Digital Health 7. Sep. 2025. DOI

[2153]

C. Fiedler • S. Trimpe
On the Analysis of Suboptimal Nonlinear Model Predictive Control Schemes Without Terminal Constraints.
IEEE Control Systems Letters 9. Sep. 2025. DOI

[2152]

X. Xue • X. Zhu
Regression in Earth Observation: Are vision–language models up to the challenge?
IEEE Geoscience and Remote Sensing Magazine Early Access. Sep. 2025. DOI GitHub

[2151]

T. Walter • H. Markgraf • J. Külz • M. Althoff
Leveraging Analytic Gradients in Provably Safe Reinforcement Learning.
IEEE Open Journal of Control Systems Early Access. Sep. 2025. DOI

[2150]

X. Xu • B. W. Schuller • E. André • E. Cambria
Guest Editorial Extremely Low-Resource Autonomous Affective Learning.
IEEE Transactions on Affective Computing 16.3. Sep. 2025. DOI

[2149]

A. Taghipour • M. Ghahremani • M. Bennamoun • A. M. Rekavandi • H. Laga • F. Boussaid
Box It to Bind It: Unified Layout Control and Attribute Binding in Text-to-Image Diffusion Models.
IEEE Transactions on Multimedia Early Access. Sep. 2025. DOI

[2148]

Z. Li • D. Muhtar • F. Gu • X. Zhang • P. Xiao • G. He • X. Zhu
LHRS-Bot-Nova: Improved Multimodal Large Language Model for Remote Sensing Vision-Language Interpretation.
ISPRS Journal of Photogrammetry and Remote Sensing 227. Sep. 2025. DOI GitHub

[2147]

S. Haas • E. Hüllermeier
Conformalized prescriptive machine learning for uncertainty-aware automated decision making: the case of goodwill requests.
International Journal of Data Science and Analytics 20.3. Sep. 2025. DOI

[2146]

F. Kreuter
Modernizing Data Collection.
Journal of Official Statistics 41.3. Sep. 2025. DOI

[2145]

C. Wachinger • D. M. Hedderich • M. Thalhammer • F. Bongratz
Individualized mapping of aberrant cortical thickness via stochastic cortical self-reconstruction.
Medical Image Analysis In press.Journal Pre-proof. Sep. 2025. DOI

[2144]

T. Wiltgen • J. McGinnis • R. Berg • C. C. Voon • O. Puonti • K. Giglhuber • C. Ganter • C. Zimmer • B. Hemmer • B. Wiestler • J. Kirschke • C. Preibisch • M. Mühlau
Towards quantitative intensity analysis of conventional T1-weighted images in multiple sclerosis.
NeuroImage 318.121395. Sep. 2025. DOI

[2143]

A. A. Guth • S. Abdulsalaam • H. Rauhut • D. Heberling
Numerical Analysis of Mask-Based Phase Reconstruction in Phaseless Spherical Near-Field Antenna Measurements.
Sensors 25.18. Sep. 2025. DOI

[2142]

J. Bader • M. Pach • M. A. Bravo • S. Belongie • Z. Akata
Stitch: Training-Free Position Control in Multimodal Diffusion Transformers.
Preprint (Sep. 2025). arXiv GitHub

[2141]

J. Beck • S. Eckman • C. Kern • F. Kreuter
Bias in the Loop: How Humans Evaluate AI-Generated Suggestions.
Preprint (Sep. 2025). arXiv

[2140]

M. Brockschmidt • M. Schröder • S. Feuerriegel
SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis.
Preprint (Sep. 2025). arXiv

[2139]

N. Derevianko • I. G. Kevrekidis • F. Dietrich
Neural network-based singularity detection and applications.
Preprint (Sep. 2025). arXiv

[2138]

J. Ding • Q. Sun • A. Akman • B. W. Schuller
Cross-Dialect Bird Species Recognition with Dialect-Calibrated Augmentation.
Preprint (Sep. 2025). arXiv

[2137]

A. C. Erdur • C. Beischl • D. Scholz • J. Pan • B. Wiestler • D. Rückert • J. C. Peeken
MultiMAE for Brain MRIs: Robustness to Missing Inputs Using Multi-Modal Masked Autoencoder.
Preprint (Sep. 2025). arXiv

[2136]

P. Esser • M. Fleissner • D. Ghoshdastidar
Theoretical Foundations of Representation Learning using Unlabeled Data: Statistics and Optimization.
Preprint (Sep. 2025). arXiv

[2135]

M. Fayyaz • A. Modarressi • H. Deilamsalehy • F. Dernoncourt • R. Rossi • T. Bui • H. Schütze • N. Peng
Steering MoE LLMs via Expert (De)Activation.
Preprint (Sep. 2025). arXiv

[2134]

L. Girrbach • C.-P. Su • T. Saanum • R. Socher • E. Schulz • Z. Akata
Reference-Free Rating of LLM Responses via Latent Information.
Preprint (Sep. 2025). arXiv

[2133]

L. Hölbling • S. Maier • S. Feuerriegel
The Persuasive Power of LLMs: A Systematic Literature Review and Meta-Analysis.
Preprint (Sep. 2025). DOI

[2132]

Y. Hu • Y. Xue • S. Klenk • D. Cremers • G. Pons-Moll
ControlEvents: Controllable Synthesis of Event Camera Datawith Foundational Prior from Image Diffusion Models.
Preprint (Sep. 2025). arXiv

[2131]

J. Külz • S. Ha • M. Althoff
A Design Co-Pilot for Task-Tailored Manipulators.
Preprint (Sep. 2025). arXiv

[2130]

M. Li • M. Luo • T. Lv • Y. Zhang • S. Zhao • E. Nie • G. Zhou
A Survey of Long-Document Retrieval in the PLM and LLM Era.
Preprint (Sep. 2025). arXiv

[2129]

M. Li • X. Lv • J. Zou • T. Chen • C. Zhang • S. An • E. Nie • G. Zhou
Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey.
Preprint (Sep. 2025). arXiv

[2128]

C. Liu • Y. Chen • H. Shi • J. Lu • B. Jian • J. Pan • L. Cai • J. Wang • Y. Zhang • J. Li • C. I. Bercea • C. Ouyang • C. Chen • Z. Xiong • B. Wiestler • C. Wachinger • D. Rückert • W. Bai • R. Arcucci
Does DINOv3 Set a New Medical Vision Standard?
Preprint (Sep. 2025). arXiv

[2127]

F. Liu • R. Zhao • S. Chen • G. Li • P. Torr • L. Han • J. Gu
Can an Individual Manipulate the Collective Decisions of Multi-Agents?
Preprint (Sep. 2025). arXiv

[2126]

A. Maldonado • C. M. M. Frey • S. A. Aryasomayajula • L. Zellner • S. A. Fahrenkrog-Petersen • T. Seidl
SHAining on Process Mining: Explaining Event Log Characteristics Impact on Algorithms.
Preprint (Sep. 2025). arXiv

[2125]

V. Melnychuk • S. Feuerriegel
GDR-learners: Orthogonal Learning of Generative Models for Potential Outcomes.
Preprint (Sep. 2025). arXiv

[2124]

V. Melnychuk • D. Frauen • J. Schweisthal • S. Feuerriegel
Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation.
Preprint (Sep. 2025). arXiv

[2123]

J. Persson • S. Feuerriegel • C. Kadar
Learning from Editorial Decisions: Optimizing Audience-Wide Content Promotions with Causal Machine Learning.
Preprint (Sep. 2025). DOI

[2122]

J. Schooling • T. Meier • M. Amutorine
Social Impact of LLMs: The Ups, the Downs and the Uncharted Waters.
Preprint (Sep. 2025). DOI

[2121]

H. Tenzer • O. Abidi • S. Feuerriegel
Designing LLMs for cultural sensitivity: Evidence from English-Japanese translation.
Preprint (Sep. 2025). arXiv

[2120]

A. Topaloglu • K. Li • M. Niemeyer • N. Navab • A. M. Tekalp • F. Tombari
OracleGS: Grounding Generative Priors for Sparse-View Gaussian Splatting.
Preprint (Sep. 2025). arXiv

[2119]

N. Walha • S. G. Gruber • T. Decker • Y. Yang • A. Javanmardi • E. Hüllermeier • F. Buettner
Fine-Grained Uncertainty Decomposition in Large Language Models: A Spectral Approach.
Preprint (Sep. 2025). arXiv

[2118]

A. Wang • X. Wu • D. Shu • Y. Ma • N. Liu
Enhancing LLM Steering through Sparse Autoencoder-Based Vector Refinement.
Preprint (Sep. 2025). arXiv

[2117]

S. Wang • K. Li • S. Liang • E. Alegret • J. Ma • N. Navab • S. Gasperini
Visibility-Aware Language Aggregation for Open-Vocabulary Segmentation in 3D Gaussian Splatting.
Preprint (Sep. 2025). arXiv

[2116]

S. Wang • X. Sun • J. Han • X. Zhu
RSCLIP for Training-Free Open-Vocabulary Remote Sensing Image Semantic Segmentation.
Preprint (Sep. 2025). DOI GitHub

[2115]

S. Wiegrebe • J. Piller • M. Gorski • M. Behr • H. Küchenhoff • I. M. Heid • A. Bender
Multi-state Models For Modeling Disease Histories Based On Longitudinal Data.
Preprint (Sep. 2025). arXiv

[2114]

G. Zhang • S. Qian • X. Wang • D. Cremers
ViSTA-SLAM: Visual SLAM with Symmetric Two-view Association.
Preprint (Sep. 2025). arXiv GitHub

[2113]

L. Zimmer • J. Weidner • M. Balcerak • F. Kofler • I. Ezhov • B. Menze • B. Wiestler
PREDICT-GBM: Platform for Robust Evaluation and Development of Individualized Computational Tumor Models in Glioblastoma.
Preprint (Sep. 2025). arXiv

[2112]

J. Zobolas • A.-M. George • A. López • S. Fischer • M. Becker • T. Aittokallio
Optimizing Prognostic Biomarker Discovery in Pancreatic Cancer Through Hybrid Ensemble Feature Selection and Multi-Omics Data.
Preprint (Sep. 2025). arXiv

[2111]

S. Rauch • C. M. M. Frey • A. Maldonado • T. Seidl
BEST: Bilaterally Expanding Subtrace Tree for Event Sequence Prediction.
BPM 2025 - 23rd International Conference on Business Process Management. Seville, Spain, Aug 31-Sep 05, 2025. DOI

[2110]

J. W. Grootjen • S. N. R. Yadla • S. Mayer
The Effects of AMD Severities on Eye Movements in Virtual Environments.
MuC 2025 - Mensch und Computer. Darmstadt, Germany, Aug 31-Sep 03, 2025. DOI

[2109]

J. W. Grootjen • S. N. R. Yadla • S. Mayer
Understanding the Impact of Glaucoma Severities Through Virtual Reality Simulations.
MuC 2025 - Mensch und Computer. Darmstadt, Germany, Aug 31-Sep 03, 2025. DOI

[2108]

Y. Sun • M. Hagog • M. Weber • D. Hein • S. Udluft • V. Tresp • Y. Ma
First Experience with Real-Time Control Using Simulated VQC-Based Quantum Policies.
QCE 2025 - IEEE International Conference on Quantum Computing and Engineering. Albuquerque, NM, USA, Aug 31-Sep 05, 2025. To be published. Preprint available. arXiv

[2107]

M. Gonzalez-Machorro • U. Reichel • P. Hecker • H. Hammer • H. Sagha • F. Eyben • R. Hoepner • B. W. Schuller
Speech-Based Depressive Mood Detection in the Presence of Multiple Sclerosis: A Cross-Corpus and Cross-Lingual Study.
ICNLSP 2025 - 8th International Conference on Natural Language and Speech Processing. Odense, Denmark, Aug 25-27, 2025. URL

[2106]

U. Reichel • M. Gonzalez Machorro • L. Ehlen • P. Hecker • D. Peitz • C. Werner • F. Burkhardt • C. Kohlschein • F. Eyben • B. W. Schuller
Domain adaptation and question-answer pooling for Aphasia modelling.
ICNLSP 2025 - 8th International Conference on Natural Language and Speech Processing. Odense, Denmark, Aug 25-27, 2025. URL

[2105]

P. Pisal • O. Krejci • P. Rinke
Machine learning accelerated descriptor design for catalyst discovery in CO2 to methanol conversion.
PSI-K 2025 - 7th PSI-K Conference. Lausanne, Switzerland, Aug 25-28, 2025. DOI

[2104]

J. Blake • M. Schubert
Aerial Coverage Path Planning in Nuclear Emergencies A Training and Evaluation Environment.
Demonstration Track @IJCAI 2025 - Demonstration Track at the 34th International Joint Conference on Artificial Intelligence. Montreal, Canada, Aug 16-22, 2025. DOI

[2103]

T. Benoit • Y. Wang • M. Dannehl • J. Kinder
BLens: Contrastive Captioning of Binary Functions using Ensemble Embedding.
USENIX-Security 2025 - 34th USENIX Security Symposium. Seattle, WA, USA, Aug 13-15, 2025. PDF

[2102]

M. Windl • O. Akgul • N. Malkin • L. F. Cranor
Privacy Solution or Menace? Investigating Perceptions of Radio-Frequency Sensing.
USENIX-Security 2025 - 34th USENIX Security Symposium. Seattle, WA, USA, Aug 13-15, 2025. URL

[2101]

Y. Ma • J. Schweisthal • H. Zhang • S. Feuerriegel
A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments.
KDD 2025 - 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Toronto, ON, Canada, Aug 03-07, 2025. DOI

[2100]

Z. Ding • Y. Li • Y. He • A. Norelli • J. Wu • V. Tresp • Y. Ma • M. Bronstein
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models.
TGL @KDD 2025 - Temporal Graph Learning Workshopat the 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Toronto, ON, Canada, Aug 03-07, 2025. URL

[2099]

L. von der Heyde • A.-C. Haensch • B. Weiß • J. Daikeler
AIn't Nothing But a Survey? Using Large Language Models for Coding German Open-Ended Survey Responses on Survey Motivation.
JSM 2025 - Joint Statistical Meetings. Nashville, TN, USA, Aug 02-07, 2025. To be published. Preprint available. arXiv

[2098]

S. Chang • P. Nayak • M. Walther • D. Grün
Human vs. machine -- 1:3. Joint analysis of classical and ML-based summary statistics of the Lyman-α forest.
Astronomy & Astrophysics In press. Aug. 2025. Preprint. arXiv

[2097]

S. Ji • B. Zhang • H. S. Stein • Z. Zhang • J. Zhu
Explainable Artificial Intelligence of Things for Health Prognosis of Lithium-Ion Batteries.
Energy and Fuels 39.36. Aug. 2025. DOI

[2096]

A. Taghipour • M. Ghahremani • M. Bennamoun • A. M. Rekavandi • Z. Li • H. Laga • F. Boussaid
Faster Image2Video Generation: A Closer Look at CLIP Image Embedding's Impact on Spatio-Temporal Cross-Attentions.
IEEE Access. Aug. 2025. DOI

[2095]

H. Zhang • F. Tian • Y. Tan • L. Shen • E. Li • J. Ma • J. Liu • K. Qian • J. Li • B. Hu • Y. Yamamoto • B. W. Schuller
Towards Practical Colorectal Cancer Diagnosis: A Bowel Sound-Based System with Portable Sensor and On-Board Lightweight AI Model.
IEEE Internet of Things Journal Early Access. Aug. 2025. DOI

[2094]

S. Starck • V. Sideri-Lampretsa • B. Kainz • M. J. Menten • T. T. Mueller • D. Rückert
Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases.
IEEE Transactions on Medical Imaging Early Access. Aug. 2025. DOI

[2093]

D. Strieder • M. Drton
Identifying total causal effects in linear models under partial homoscedasticity.
International Journal of Approximate Reasoning 183.109455. Aug. 2025. DOI

[2092]

H. Funk • R. Ludwig • H. Küchenhoff • T. Nagler
Towards more realistic climate model outputs: A multivariate bias correction based on zero-inflated vine copulas.
Journal of the Royal Statistical Society. Series C (Applied Statistics).qlaf044. Aug. 2025. DOI

[2091]

H. Eichhorn • V. Spieker • K. Hammernik • E. Saks • L. Felsner • K. Weiss • C. Preibisch • J. A. Schnabel
Motion-robust T2* quantification from low-resolution gradient echo brain MRI with physics-informed deep learning.
Magnetic Resonance in Medicine Early Access. Aug. 2025. DOI

[2090]

F. Drexel • V. Sideri-Lampretsa • H. Bast • A. W. Marka • T. Koehler • F. T. Gassert • D. Pfeiffer • D. Rückert • F. Pfeiffer
Deformable image registration of dark-field chest radiographs for functional lung assessment.
Medical Physics 52.8. Aug. 2025. DOI

[2089]

A. Scagliotti • S. Farinelli
Normalizing flows as approximations of optimal transport maps via linear-control neural ODEs.
Nonlinear Analysis 257.113811. Aug. 2025. DOI

[2088]

A. Triantafyllopoulos • I. Tsangko • A. Gebhard • A. Mesaros • T. Virtanen • B. W. Schuller
Computer Audition: From Task-Specific Machine Learning to Foundation Models.
Proceedings of the IEEE Early Access. Aug. 2025. DOI

[2087]

J. Beck • A. Steinberg • A. Dimmelmeier • L. D. Burin • E. Kormanyos • M. Fehr • M. Schierholz
Addressing data gaps in sustainability reporting: A benchmark dataset for greenhouse gas emission extraction.
Scientific Data 12.1497. Aug. 2025. DOI

[2086]

J. Collins • C. Kern
Pre-Trained Nonresponse Prediction in Panel Surveys with Machine Learning.
Survey Research Methods 19.2. Aug. 2025. DOI

[2085]

A. Höhl • P. Höhn • X. Zhu
Terragon: A Unified Framework for Earth Observation Data Cube Generation.
The Journal of Open Source Software 10.114. Aug. 2025. DOI

[2084]

A. Köksal • M. Thaler • A. Imani • A. Üstün • A. Korhonen • H. Schütze
MURI: High-Quality Instruction Tuning Datasets for Low-Resource Languages via Reverse Instructions.
Transactions of the Association for Computational Linguistics 13. Aug. 2025. DOI GitHub

[2083]

R. Holland • T. R. P. Taylor • C. Holmes • S. Riedl • J. Mai • M. Patsiamanidi • D. Mitsopoulou • P. Hager • P. Müller • J. C. Paetzold • H. P. N. Scholl • H. Bogunović • U. Schmidt-Erfurth • D. Rückert • S. Sivaprasad • A. J. Lotery • M. J. Menten • O. b. o. t. PINNACLE consortium
Specialized curricula for training vision language models in retinal image analysis.
npj Digital Medicine 8.532. Aug. 2025. DOI

[2082]

E. Alegret • K. Li • S. Wang • S. Liang • M. Niemeyer • S. Gasperini • N. Navab • F. Tombari
GALA: Guided Attention with Language Alignment for Open Vocabulary Gaussian Splatting.
Preprint (Aug. 2025). arXiv

[2081]

S. Ambekar • D. M. Lang • J. A. Schnabel
Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation.
Preprint (Aug. 2025). arXiv

[2080]

H. Baniecki • M. Muschalik • F. Fumagalli • B. Hammer • E. Hüllermeier • P. Biecek
Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions.
Preprint (Aug. 2025). arXiv

[2079]

N. Bhatia • O. Krejci • S. Botti • P. Rinke • M. A. L. Marques
MACE4IR: A foundation model for molecular infrared spectroscopy.
Preprint (Aug. 2025). arXiv

[2078]

N. Bubeck • S. Shit • C. Chen • C. Zhao • P. Guo • D. Yang • G. Zitzlsberger • D. Xu • B. Kainz • D. Rückert • J. Pan
Latent Interpolation Learning Using Diffusion Models for Cardiac Volume Reconstruction.
Preprint (Aug. 2025). arXiv

[2077]

Z. Chen • C. Li • X. Li • D. Huang • Z. Jiang • S. Speidel • X. Chu • K. W. S. Au
Vibration-Based Energy Metric for Restoring Needle Alignment in Autonomous Robotic Ultrasound.
Preprint (Aug. 2025). arXiv

[2076]

M. de Mayo • D. Cremers • T. Pire
The Monado SLAM Dataset for Egocentric Visual-Inertial Tracking.
Preprint (Aug. 2025). arXiv

[2075]

L. Eyring • S. Karthik • A. Dosovitskiy • N. Ruiz • Z. Akata
Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models.
Preprint (Aug. 2025). arXiv GitHub

[2074]

M.-A. Gafencu • R. Shaban • Y. Velikova • M. F. Azampour • N. Navab
Shape Completion and Real-Time Visualization in Robotic Ultrasound Spine Acquisitions.
Preprint (Aug. 2025). arXiv

[2073]

J. Li • C. Liu • W. Bai • M. Liu • R. Arcucci • C. I. Bercea • J. A. Schnabel
Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding.
Preprint (Aug. 2025). arXiv GitHub

[2072]

Y. Li • Q. Sun • M. Schlicher • Y. W. Lim • B. W. Schuller
Artificial Emotion: A Survey of Theories and Debates on Realising Emotion in Artificial Intelligence.
Preprint (Aug. 2025). arXiv

[2071]

J. Liu • X. Deng • H. Li • A. Kazemi • C. Grashei • G. Wilkens • X. You • T. Groll • N. Navab • C. Mogler • P. J. Schüffler
From Pixels to Pathology: Restoration Diffusion for Diagnostic-Consistent Virtual IHC.
Preprint (Aug. 2025). arXiv

[2070]

R. Lu • J. Bi • Y. Ma • F. Xiao • Y. Du • Y. Tian
MV-Debate: Multi-view Agent Debate with Dynamic Reflection Gating for Multimodal Harmful Content Detection in Social Media.
Preprint (Aug. 2025). arXiv

[2069]

L. Lützow • M. Eichelbeck • M. J. Kochenderfer • M. Althoff
Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks.
Preprint (Aug. 2025). arXiv

[2068]

T. Mach • D. Rückert • A. Berger • L. Lux • I. Ezhov
Addressing Annotation Scarcity in Hyperspectral Brain Image Segmentation with Unsupervised Domain Adaptation.
Preprint (Aug. 2025). arXiv

[2067]

J. Pan • B. Jian • P. Hager • Y. Zhang • C. Liu • F. Jungmann • H. B. Li • C. You • J. Wu • J. Zhu • F. Liu • Y. Liu • N. Bubeck • C. Wachinger • C. Chen • Z. Gong • C. Ouyang • G. Kaissis • B. Wiestler • D. Rückert
Beyond Benchmarks: Dynamic, Automatic And Systematic Red-Teaming Agents For Trustworthy Medical Language Models.
Preprint (Aug. 2025). arXiv

[2066]

I. A. Petrov • V. Guzov • R. Marin • E. Aksan • X. Chen • D. Cremers • T. Beeler • G. Pons-Moll
ECHO: Ego-Centric modeling of Human-Object interactions.
Preprint (Aug. 2025). arXiv

[2065]

Z. Ren • S. Pistrosch • B. Coşkun • K. Scheck • A. Batliner • B. W. Schuller • T. Schultz
An Introduction to Silent Paralinguistics.
Preprint (Aug. 2025). arXiv

[2064]

R. Schwank • M. Drton
On the distance between mean and geometric median in high dimensions.
Preprint (Aug. 2025). arXiv

[2063]

J. Simson
Decoupling Data and Tooling in Interactive Visualization.
Preprint (Aug. 2025). arXiv

[2062]

P. Spitzer • D. Hendriks • J. Rudolph • S. Schläger • J. Ricke • N. Kühl • B. F. Hoppe • S. Feuerriegel
The effect of medical explanations from large language models on diagnostic accuracy in radiology.
Preprint (Aug. 2025). DOI

[2061]

A. Triantafyllopoulos • A. Batliner • B. W. Schuller
Charting 15 years of progress in deep learning for speech emotion recognition: A replication study.
Preprint (Aug. 2025). arXiv

[2060]

S. Urchs • V. Thurner • M. Aßenmacher • L. Bothmann • C. Heumann • S. Thiemichen
Are All Genders Equal in the Eyes of Algorithms? -- Analysing Search and Retrieval Algorithms for Algorithmic Gender Fairness.
Preprint (Aug. 2025). arXiv

[2059]

S. Urchs • V. Thurner • M. Aßenmacher • C. Heumann • S. Thiemichen
Fair Play in the Newsroom: Actor-Based Filtering Gender Discrimination in Text Corpora.
Preprint (Aug. 2025). arXiv

[2058]

J. Xie • O. Dhaouadi • W. Chen • J. Meier • J. Kaiser • D. Cremers
CoProU-VO: Combining Projected Uncertainty for End-to-End Unsupervised Monocular Visual Odometry.
Preprint (Aug. 2025). arXiv

[2057]

C. Yang • M. Deutges • J. Liu • H. Li • N. Navab • C. Marr • A. Sadafi
Attention Pooling Enhances NCA-based Classification of Microscopy Images.
Preprint (Aug. 2025). arXiv

[2056]

H. Yang • J. Lan • Y. Liu • H. Schütze • T. Seidl
Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach.
Preprint (Aug. 2025). arXiv

[2055]

M. M. Mandl
Addressing researcher degrees of freedom in applications, methodological research, and teaching.
Dissertation LMU München. Jul. 2025. DOI

[2054]

D. Bär
Computational approaches to enhance the integrity of social media: from detection to intervention.
Dissertation LMU München. Jul. 2025. DOI

[2053]

S. Dirksen • W. Li • J. Maly
Subspace estimation under coarse quantization.
SampTA 2025 - 15th International Conference on Sampling Theory and Applications. Vienna, Austria, Jul 28-Aug 01, 2025. DOI

[2052]

F. Krahmer • F. Pagginelli Patricio • P. Catala
On a Recovery Method with Approximation Guarantees for Noisy Unlimited Sampling.
SampTA 2025 - 15th International Conference on Sampling Theory and Applications. Vienna, Austria, Jul 28-Aug 01, 2025. To be published. Preprint available. URL

[2051]

A. Veselovska • J. Prestin
Super-resolution via Prony-Type Polynomials.
SampTA 2025 - 15th International Conference on Sampling Theory and Applications. Vienna, Austria, Jul 28-Aug 01, 2025. To be published. Preprint available. DOI

[2050]

A. Bavaresco • R. Bernardi • L. Bertolazzi • D. Elliott • R. Fernández • A. Gatt • E. Ghaleb • M. Giulianelli • M. Hanna • A. Koller • A. F. T. Martins • P. Mondorf • V. Neplenbroek • S. Pezzelle • B. Plank • D. Schlangen • A. Suglia • A. K. Surikuchi • E. Takmaz • A. Testoni
LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2049]

J. Bi • Y. Wang • H. Chen • X. Xiao • A. Hecker • V. Tresp • Y. Ma
LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2048]

F. Eichin • Y. J. Liu • B. Plank • M. A. Hedderich
Probing LLMs for Multilingual Discourse Generalization Through a Unified Label Set.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2047]

M. Fayyaz • A. Modarressi • H. Schütze • N. Peng
Collapse of Dense Retrievers: Short, Early, and Literal Biases Outranking Factual Evidence.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2046]

F. Friedrich • K. Hämmerl • P. Schramowski • M. Brack • J. Libovicky • K. Kersting • A. Fraser
Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2045]

M. A. Hedderich • A. Wang • R. Zhao • F. Eichin • J. Fischer • B. Plank
What's the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2044]

L. Kinder • L. Edman • A. Fraser • T. Käfer
Positional Overload: Positional Debiasing and Context Window Extension for Large Language Models using Set Encoding.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2043]

T. Liu • Z. Lai • J. Wang • G. Zhang • S. Chen • P. Torr • V. Demberg • V. Tresp • J. Gu
Multimodal Pragmatic Jailbreak on Text-to-image Models.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL GitHub

[2042]

T. Liu • X. Yu • W. Zhou • J. Gu • V. Tresp
FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2041]

Y. Liu • H. Ye • C. Ma • M. Wang • H. Schütze
LangSAMP: Language-Script Aware Multilingual Pretraining.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL GitHub

[2040]

B. Ma • Y. Li • W. Zhou • Z. Gong • Y. J. Liu • K. Jasinskaja • A. Friedrich • J. Hirschberg • F. Kreuter • B. Plank
Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2039]

B. Ma • B. Yoztyurk • A.-C. Haensch • X. Wang • M. Herklotz • F. Kreuter • B. Plank • M. Aßenmacher
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2038]

P. Mondorf • S. Wold • B. Plank
Circuit Compositions: Exploring Modular Structures in Transformer-Based Language Models.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2037]

E. Nie • B. Shao • Z. Ding • M. Wang • H. Schmid • H. Schütze
BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL GitHub

[2036]

S. Okabe • K. Hämmerl • A. Fraser
Improving Parallel Sentence Mining for Low-Resource and Endangered Languages.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2035]

R. Pei • Y. Liu • P. Lin • F. Yvon • H. Schütze
Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on Manchu.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2034]

M. Wang • H. Adel • L. Lange • Y. Liu • E. Nie • J. Strötgen • H. Schütze
Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2033]

I. Bueno • A. Bavaresco • J. M. Cunha • P. Wicke
Testing Spatial Intuitions of Humans and Large Language and Multimodal Models in Analogies.
Analogy-Angle II @ACL 2025 - 2nd Workshop on Analogical Abstraction in Cognition, Perception, and Language at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2032]

A. Säuberli • D. Frassinelli • B. Plank
Do LLMs Give Psychometrically Plausible Responses in Educational Assessments?
BEA @ACL 2025 - 20th Workshop on Innovative Use of NLP for Building Educational Applications at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2031]

L. Hagström • E. Nie • R. Halifa • H. Schmid • R. Johansson • A. Junge
Language Model Re-rankers are Fooled by Lexical Similarities.
FEVER @ACL 2025 - 8th Fact Extraction and VERification Workshop at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2030]

H. Asadpour • S. Okabe • A. Fraser
A Practical Tool to Help Automate Interlinear Glossing: a Study on Mukrī Kurdish.
Field Matters @ACL 2025 - 4th Workshop on NLP Applications to Field Linguistics at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2029]

V. Blaschke • M. Fedzechkina • M. Ter Hoeve
Analyzing the Effect of Linguistic Similarity on Cross-Lingual Transfer: Tasks and Experimental Setups Matter.
Findings @ACL 2025 - Findings at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2028]

B. Chen • S. Peng • A. Korhonen • B. Plank
A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI.
Findings @ACL 2025 - Findings at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2027]

L. Edman • H. Schmid • A. Fraser
EXECUTE: A Multilingual Benchmark for LLM Token Understanding.
Findings @ACL 2025 - Findings at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2026]

A. D. Hakimi • A. Modarressi • P. Wicke • H. Schütze
Time Course MechInterp: Analyzing the Evolution of Components and Knowledge in Large Language Models.
Findings @ACL 2025 - Findings at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2025]

L. He • E. Nie • H. Schmid • H. Schütze • N. Mesgarani • J. Brennan
Large Language Models as Neurolinguistic Subjects: Discrepancy between Performance and Competence.
Findings @ACL 2025 - Findings at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2024]

A. H. Kargaran • Y. Liu • F. Yvon • H. Schütze
How Programming Concepts and Neurons Are Shared in Code Language Models.
Findings @ACL 2025 - Findings at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL GitHub

[2023]

A. H. Kargaran • A. Modarressi • N. Nikeghbal • J. Diesner • F. Yvon • H. Schütze
MEXA: Multilingual Evaluation of English-Centric LLMs via Cross-Lingual Alignment.
Findings @ACL 2025 - Findings at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2022]

S. Urchs • V. Thurner • M. Aßenmacher • C. Heumann • S. Thiemichen
taz2024full: Analysing German Newspapers for Gender Bias and Discrimination across Decades.
Findings @ACL 2025 - Findings at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2021]

E. Garces Arias • H. Blocher • J. Rodemann • M. Li • C. Heumann • M. Aßenmacher
Towards Better Open-Ended Text Generation: A Multicriteria Evaluation Framework.
GEM2 @ACL 2025 - 4th Workshop on Generation, Evaluation and Metrics at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2020]

O. Kononykhina • A.-C. Haensch • F. Kreuter
Mind the Gap: Gender-based Differences in Occupational Embeddings.
GeBNLP @ACL 2025 - 6th Workshop on Gender Bias in Natural Language Processing at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2019]

T. Lindenbauer • G. Groh • H. Schütze
From Knowledge to Noise: CTIM-Rover and the Pitfalls of Episodic Memory in Software Engineering Agents.
REALM @ACL 2025 - 1st Workshop for Research on Agent Language Models at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2018]

L. He • E. Nie • S. S. Dindar • A. Firoozi • A. Florea • V. Nguyen • C. Puffay • R. Shimizu • H. Ye • J. Brennan • H. Schmid • H. Schütze • N. Mesgarani
XCOMPS: A Multilingual Benchmark of Conceptual Minimal Pairs.
SIGTYP @ACL 2025 - 7th Workshop on Research in Computational Linguistic Typology and Multilingual NLP at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2017]

P. Lin • M. Thaler • D. Goschala • A. H. Kargaran • Y. Liu • A. Martins • H. Schütze
Construction-Based Reduction of Translationese for Low-Resource Languages: A Pilot Study on Bavarian.
SIGTYP @ACL 2025 - 7th Workshop on Research in Computational Linguistic Typology and Multilingual NLP at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL GitHub

[2016]

Q. Feng • Y. Liu • H. Schütze
Your Pretrained Model Tells the Difficulty Itself: A Self-Adaptive Curriculum Learning Paradigm for Natural Language Understanding.
SRW @ACL 2025 - Student Research Workshop at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2015]

E. Özeren • Y. Liu • H. Schütze
HYPEROFA: Expanding LLM Vocabulary to New Languages via Hypernetwork-Based Embedding Initialization.
SRW @ACL 2025 - Student Research Workshop at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2014]

S. Fischer • B. Bischl
Constructing Confidence Intervals for ’the’ Generalization Error.
Statistical Computing 2025 - 55. Arbeitstagung der Arbeitsgruppen Statistical Computing, Klassifikation und Datenanalyse in den Biowissenschaften. Ulm, Germany, Jul 27-30, 2025. PDF

[2013]

M. Koshil • M. Feurer • K. Eggensperger
In-Context Learning of Soft Nearest Neighbor Classifiers for Intelligible Tabular Machine Learning.
TRL @ACL 2025 - 4th Table Representation Learning Workshop at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[2012]

J. Streit • F. Weindel • R. Heckel
Transformer-Based Decoding in Concatenated Coding Schemes Under Synchronization Errors.
ISIT 2025 - IEEE International Symposium on Information Theory. Ann Arbor, MI, USA, Jul 22-27, 2025. DOI

[2011]

M. Arpogaus • T. Kneib • T. Nagler • D. Rügamer
Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals.
UAI 2025 - 41st Conference on Uncertainty in Artificial Intelligence. Rio de Janeiro, Brazil, Jul 21-25, 2025. URL

[2010]

M. Drton • M. Garrote-López • N. Nikov • E. Robeva • Y. S. Wang
Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles.
UAI 2025 - 41st Conference on Uncertainty in Artificial Intelligence. Rio de Janeiro, Brazil, Jul 21-25, 2025. URL GitHub

[2009]

J. Hanselle • A. Javanmardi • T. Oberkofler • Y. Sale • E. Hüllermeier
Conformal Prediction without Nonconformity Scores.
UAI 2025 - 41st Conference on Uncertainty in Artificial Intelligence. Rio de Janeiro, Brazil, Jul 21-25, 2025. URL

[2008]

A. Scagliotti • S. Farinelli
Normalizing flows as approximations of optimal transport maps via linear-control neural ODEs.
VC 2025 - 16th Viennese Conference on Optimal Control and Dynamic Games. Vienna, Austria, Jul 15-18, 2025. To be published. Preprint available. DOI

[2007]

O. Kononykhina • M. Schierholz
Can Large Language Models Advance Occupational Coding? Evidence and Methodological Insights.
ESRA 2025 - 11th Conference of the European Survey Research Association. Utrecht, The Netherlands, Jul 14-18, 2025. To be published.

[2006]

F. Kiwitt • B. Tahmasebi • S. Jegelka
Symmetries in Weight Space Learning: To Retain or Remove?
HiLD @ICML 2025 - Workshop on High-dimensional Learning Dynamics at the 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL

[2005]

J. von Berg • A. Fono • M. Datres • S. Maskey • G. Kutyniok
The Price of Robustness: Stable Classifiers Need Overparameterization.
HiLD @ICML 2025 - Workshop on High-dimensional Learning Dynamics at the 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL

[2004]

W. Durani • T. Nitzl • C. Plant • C. Böhm
Weakly Supervised Anomaly Detection via Dual-Tailed Kernel.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL

[2003]

P. Fatemi • E. Sharifian • M. H. Yassaee
A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL

[2002]

X. Feng • Z. Jiang • T. Kaufmann • E. Hüllermeier • P. Weng • Y. Zhu
Comparing Comparisons: Informative and Easy Human Feedback with Distinguishability Queries.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL

[2001]

S. Karnik • A. Veselovska • M. Iwen • F. Krahmer
Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL

[2000]

W. Lai • A. Fraser • I. Titov
Joint Localization and Activation Editing for Low-Resource Fine-Tuning.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL

[1999]

M. Lienen • A. Saydemir • S. Günnemann
UnHiPPO: Uncertainty-aware Initialization for State Space Models.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL

[1998]

A. Modarressi • H. Deilamsalehy • F. Dernoncourt • T. Bui • R. A. Rossi • S. Yoon • H. Schütze
NoLiMa: Long-Context Evaluation Beyond Literal Matching.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL URL

[1997]

S. Müller • A. Reuter • N. Hollmann • D. Rügamer • F. Hutter
Position: The Future of Bayesian Prediction Is Prior-Fitted.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL

[1996]

D. A. Nguyen • E. Araya • A. Fono • G. Kutyniok
Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL

[1995]

T. Pielok • B. Bischl • D. Rügamer
Revisiting Unbiased Implicit Variational Inference.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL

[1994]

A. Reuter • T. G. J. Rudner • V. Fortuin • D. Rügamer
Can Transformers Learn Full Bayesian Inference in Context?
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL

[1993]

R. Schulte • D. Rügamer • T. Nagler
Adjustment for Confounding using Pre-Trained Representations.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL

[1992]

J. Schweisthal • D. Frauen • M. Schröder • K. Heß • N. Kilbertus • S. Feuerriegel
Learning Representations of Instruments for Partial Identification of Treatment Effects.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL

[1991]

A. Soleymani • B. Tahmasebi • S. Jegelka • P. Jaillet
Learning with Exact Invariances in Polynomial Time.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL

[1990]

L. Thede • K. Roth • M. Bethge • Z. Akata • T. Hartvigsen
WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL

[1989]

D. Tramontano • Y. Kivva • S. Salehkaleybar • N. Kiyavash • M. Drton
Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL

[1988]

A. Uselis • A. Dittadi • S. J. Oh
Does Data Scaling Lead to Visual Compositional Generalization?
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL GitHub

[1987]

J. Zausinger • L. Pennig • A. Kozina • S. Sdahl • J. Sikora • A. Dendorfer • T. Kuznetsov • M. Hagog • N. Wiedemann • K. Chlodny • V. Limbach • A. Ketteler • T. Prein • V. M. Singh • M. M. Danziger • J. Born
Regress, Don't Guess -- A Regression-like Loss on Number Tokens for Language Models.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL GitHub

[1986]

F. Kreuter
Adaptive Alignment: Designing AI for a Changing World - Frauke Kreuter.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. Invited Talk. URL

[1985]

U. Fischer Abaigar • C. Kern • J. Perdomo
The Value of Prediction in Identifying the Worst-Off.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. Spotlight Presentation. Outstanding Paper Award. URL

[1984]

L. Xu • M. Sarkar • A. I. Lonappan • Í. Zubeldia • P. Villanueva-Domingo • S. Casas • C. Fidler • C. Amancharla • U. Tiwari • A. Bayer • C. A. Ekioui • M. Cranmer • A. Dimitrov • J. Fergusson • K. Gandhi • S. Krippendorf • A. Laverick • J. Lesgourgues • A. Lewis • T. Meier • B. Sherwin • K. Surrao • F. Villaescusa-Navarro • C. Wang • X. Xu • B. Bolliet
Open Source Planning & Control System with Language Agents for Autonomous Scientific Discovery.
ML4Astro @ICML 2025 - Machine Learning for Astrophysics at the 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. PDF

[1983]

P. Spohn • L. Girrbach • J. Bader • Z. Akata
Align-then-Unlearn: Embedding Alignment for LLM Unlearning.
MUGen @ICML 2025 - Workshop on Machine Unlearning for Generative AI at the 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. URL

[1982]

Z. Li • X. Han • Y. Li • N. Strauß • M. Schubert
DAWM: Diffusion Action World Models for Offline Reinforcement Learning via Action-Inferred Transitions.
WM @ICML 2025 - Workshop on Building Physically Plausible World Models at the 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. arXiv

[1981]

L. Rottkamp
Obtaining, improving and evaluating spatio-temporal information for efficient solutions of mobility problems.
Dissertation LMU München. Jul. 2025. DOI

[1980]

C. Pellegrini • E. Özsoy • B. Busam • B. Wiestler • N. Navab • M. Keicher
RaDialog: Large Vision-Language Models for X-Ray Reporting and Dialog-Driven Assistance.
MIDL 2025 - Medical Imaging with Deep Learning. Salt Lake City, UT, USA, Jul 09-11, 2025. URL GitHub

[1979]

L. A. Heidrich • A. Rastogi • P. Upadhya • G. Brugnara • M. Foltyn-Dumitru • B. Wiestler • P. Vollmuth
Curriculum Learning for Language-guided, Multi-modal Detection of Various Pathologies.
MIDL 2025 - Medical Imaging with Deep Learning. Salt Lake City, UT, USA, Jul 09-11, 2025. To be published. Preprint available. URL

[1978]

V. M. Singh • A. G. V. Asiares • L. S. Schuhmacher • K. Rendall • S. Weißbrod • D. Rügamer • I. Körte
An Interpretable Representation Learning Approach for Diffusion Tensor Imaging.
MIDL 2025 - Medical Imaging with Deep Learning. Salt Lake City, UT, USA, Jul 09-11, 2025. To be published. Preprint available. arXiv

[1977]

S. Heid • J. Kornowicz • J. Hanselle • K. Thommes • E. Hüllermeier
MSL: Multi-class Scoring Lists for Interpretable Incremental Decision-Making.
xAI 2025 - 3rd World Conference on Explainable Artificial Intelligence. Istanbul, Turkey, Jul 09-11, 2025. DOI

[1976]

P. Knab • S. Marton • U. Schlegel • C. Bartelt
Which LIME should I trust? Concepts, Challenges, and Solutions.
xAI 2025 - 3rd World Conference on Explainable Artificial Intelligence. Istanbul, Turkey, Jul 09-11, 2025. DOI GitHub

[1975]

P. Kolpaczki • T. Nielen • E. Hüllermeier
Antithetic Sampling for Top-k Shapley Identification.
xAI 2025 - 3rd World Conference on Explainable Artificial Intelligence. Istanbul, Turkey, Jul 09-11, 2025. DOI

[1974]

W. Li • W. Chen • S. Qian • J. Chen • D. Cremers • H. Li
DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair.
ICVSS 2025 - International Computer Vision Summer School: Computer Vision for Spatial Intelligence. Sicily, Italy, Jul 06-12, 2025. To be published. Preprint available. arXiv GitHub

[1973]

Y. Li • M. Ghahremani • C. Wachinger
MedBridge: Bridging Foundation Vision-Language Models to Medical Image Diagnosis.
ICVSS 2025 - International Computer Vision Summer School: Computer Vision for Spatial Intelligence. Sicily, Italy, Jul 06-12, 2025. To be published. Preprint available. arXiv GitHub

[1972]

J. Brean • F. Bortolussi • A. Rowell • D. C. S. Beddows • K. Weinhold • P. Mettke • M. Merkel • A. Kumar • S. Barua • S. Iyer • A. Karppinen • H. Sandström • P. Rinke • A. Wiedensohler • M. Pöhlker • M. Dal Maso • M. Rissanen • Z. Shi • R. M. Harrison
Traffic-Emitted Amines Promote New Particle Formation at Roadsides.
ACS ES&T Air 2.8. Jul. 2025. DOI

[1971]

M. Novotny • W. Weber • C. Kern • F. Kreuter
Measuring public opinion towards artificial intelligence: development and validation of a general AI attitude short scale.
AI and Society. Jul. 2025. DOI

[1970]

R. Debelak • T. K. Koch • M. Aßenmacher • C. Stachl
From Embeddings to Explainability: A Tutorial on Large-Language-Model-Based Text Analysis for Behavioral Scientists.
Advances in Methods and Practices in Psychological Science 8.3. Jul. 2025. DOI

[1969]

J. Homer • O. Friedrich • D. Grün
Simulation-based inference has its own Dodelson-Schneider effect (but it knows that it does).
Astronomy & Astrophysics 699.A213. Jul. 2025. DOI

[1968]

L. Hafner • G. Sturm • S. Lumpp • M. Drton • M. List
Single-cell differential expression analysis between conditions within nested settings.
Briefings in Bioinformatics 26.4. Jul. 2025. DOI

[1967]

D. Geissler • A. Maarouf • D. Bär • N. Pröllochs • S. Feuerriegel
A comment on 'A 2 million-person, campaign-wide field experiment shows how digital advertising affects voter turnout'.
I4R Discussion Paper Series.237. Jul. 2025. URL

[1966]

Z. Ge • X. Xu • H. Guo • B. W. Schuller
Multi-Task Partially Spoofed Speech Detection Using a Dual-View Graph Neural Network Assisted Segment-Level Module.
IEEE Transactions on Audio, Speech and Language Processing 33. Jul. 2025. DOI

[1965]

Y. Yang • R. Liang • Y. Ni • Y. Xie • C. Zou • B. W. Schuller
A Non-intrusive Speech Quality Evaluation Framework for Hearing Aids Based on Speech Label Assistance and Multi-task Learning Strategy.
IEEE Transactions on Audio, Speech and Language Processing Early Access. Jul. 2025. DOI

[1964]

U. Fischer Abaigar • C. Kern • F. Kreuter
Adjusting survey estimates with multi-accuracy post-processing.
ITACOSM 2025 - Italian Conference on Survey Methodology. Bologna, Italy, Jul 01-04, 2025. Invited talk. PDF

[1963]

N. Palm • H. Palm
PROBLEM-TAILORED MULTI-OBJECTIVE OPTIMIZATION ALGORITHM CONSTRUCTION BY PARETO REFLECTIONS.
Journal of Mathematical Sciences. Jul. 2025. DOI

[1962]

M. Keinert • S. Pistrosch • A. Mallol-Ragolta • B. W. Schuller • M. Berking
Facial Emotion Recognition of 16 Distinct Emotions From Smartphone Videos: Comparative Study of Machine Learning and Human Performance.
Journal of Medical Internet Research 27. Jul. 2025. DOI

[1961]

J. Weberpals • S. Feuerriegel • M. van der Schaar • K. L. Kehl
Opportunities for Causal Machine Learning in Precision Oncology.
NEJM AI 2.8. Jul. 2025. DOI

[1960]

B. Bischl • G. Casalicchio • T. Das • M. Feurer • S. Fischer • P. Gijsbers • S. Mukherjee • A. C. Müller • L. Németh • L. Oala • L. Purucker • S. Ravi • J. N. van Rijn • P. Singh • J. Vanschoren • J. van der Velde • M. Wever
OpenML: Insights from 10 years and more than a thousand papers.
Patterns 6.7. Jul. 2025. DOI

[1959]

A. Datar • A. Datar • F. Dietrich • W. Schilders
Systematic Construction of Continuous-Time Neural Networks for Linear Dynamical Systems.
SIAM Journal on Scientific Computing 47.4. Jul. 2025. DOI

[1958]

D. Di Fraia • A. Marino • J. H. Lee • E. Kelmer Sacramento • M. Baumgart • S. Bagnoli • T. Balla • F. Schalk • S. Kamrad • R. Guan • C. Caterino • C. Giannuzzi • P. T. da Silva • A. K. Sahu • H. Gut • G. Siano • M. • E. Terzibasi-Tozzini • E. F. Fornasiero • J. Gagneur • C. Englert • K. R. Patil • C. Correia-Melo • D. D. Nedialkova • J. Frydman • A. Cellerino • A. Ori
Altered translation elongation contributes to key hallmarks of aging in the killifish brain.
Science 389.6759. Jul. 2025. DOI

[1957]

M. M. Mandl • A.-L. Boulesteix • S. Burgess • V. Zuber
Outlier Detection in Mendelian Randomization.
Statistics in Medicine 44.15-17. Jul. 2025. DOI

[1956]

Y. Sale • A. Ramdas
Online Selective Conformal Prediction: Errors and Solutions.
Transactions on Machine Learning Research. Jul. 2025. URL

[1955]

E. Walter • T. Brock • P. Lahoud • N. Werner • F. Czaja • A. Tichy • C. Bumm • A. Bender • A. Castro • W. Teughels • F. Schwendicke • M. Folwaczny
Predictive modeling for step II therapy response in periodontitis - model development and validation.
npj Digital Medicine 8.445. Jul. 2025. DOI

[1954]

E. M. Achour • K. Kohn • H. Rauhut
The Riemannian Geometry associated to Gradient Flows of Linear Convolutional Networks.
Preprint (Jul. 2025). arXiv

[1953]

S. Ball • G. Gluch • S. Goldwasser • F. Kreuter • O. Reingold • G. N. Rothblum
On the Impossibility of Separating Intelligence from Judgment: The Computational Intractability of Filtering for AI Alignment.
Preprint (Jul. 2025). arXiv

[1952]

D. Chemnitz • M. Engel • C. Kühn • S.-V. Kuntz
A Dynamical Systems Perspective on the Analysis of Neural Networks.
Preprint (Jul. 2025). arXiv

[1951]

D. Geissler • C. Robertson • S. Feuerriegel
Digital literacy interventions can boost humans in discerning deepfakes.
Preprint (Jul. 2025). arXiv

[1950]

C. Gruber • H. Alber • B. Bischl • G. Kauermann • B. Plank • M. Aßenmacher
Revisiting Active Learning under (Human) Label Variation.
Preprint (Jul. 2025). arXiv

[1949]

S. Haas • E. Hüllermeier
Aleatoric and Epistemic Uncertainty Measures for Ordinal Classification through Binary Reduction.
Preprint (Jul. 2025). arXiv

[1948]

S. Ji • J. Yuan • B. Zhang • A. Sanin • L. Merker • Z. Zhang • J. • H. S. Stein
Continuous physics-informed learning expedites universal battery mechanism decoupling.
Preprint (Jul. 2025). DOI

[1947]

J. Li • G. Kutyniok
Expressivity of deep neural networks.
Preprint (Jul. 2025). PDF

[1946]

T. Meier • K. Khutsishvili
Who Owns the Future? Ways to Understand Power, Technology, and the Moral Commons.
Preprint (Jul. 2025). URL

[1945]

S. M. K. Murthy • K. Rajamani • S. T. Rajamani • Y. Li • Q. Sun • B. W. Schuller
Automatic Contouring of Spinal Vertebrae on X-Ray using a Novel Sandwich U-Net Architecture.
Preprint (Jul. 2025). arXiv

[1944]

Y. Ozyurt • T. Almaci • S. Feuerriegel • M. Sachan
Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing.
Preprint (Jul. 2025). arXiv

[1943]

B. Pulido • A. M. Franco-Pereira • R. E. Lillo • F. Scheipl
Area-based epigraph and hypograph indices for functional outlier detection.
Preprint (Jul. 2025). arXiv

[1942]

Y. Qu • Q. Wang • Y. Mao • V. T. Hu • B. Ommer • X. Ji
Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models?
Preprint (Jul. 2025). arXiv

[1941]

N. Sturma • M. Drton
Trek-Based Parameter Identification for Linear Causal Models With Arbitrarily Structured Latent Variables.
Preprint (Jul. 2025). arXiv

[1940]

M. Tuci • L. Bastian • B. Dupuis • N. Navab • T. Birdal • U. Şimşekli
Mutual Information Free Topological Generalization Bounds via Stability.
Preprint (Jul. 2025). arXiv

[1939]

F. Weindel • M. Girsch • R. Heckel
Trace Reconstruction with Language Models.
Preprint (Jul. 2025). arXiv

[1938]

K. Yang • F. Musio • Y. Ma • N. Juchler • J. C. Paetzold • R. Al-Maskari • L. Höher • H. B. Li • I. E. Hamamci • A. Sekuboyina • S. Shit • H. Huang • C. Prabhakar • E. de la Rosa • B. Wittmann • D. Waldmannstetter • F. Kofler • F. Navarro • M. J. Menten • I. Ezhov • D. Rückert • I. N. Vos • Y. M. Ruigrok • B. K. Velthuis • H. J. Kuijf • P. Shi • W. Liu • T. Ma • M. R. Rokuss • Y. Kirchhoff • F. Isensee • K. Maier-Hein • C. Zhu • H. Zhao • P. Bijlenga • J. Hämmerli • C. Wurster • L. Westphal • J. Bisschop • E. Colombo • H. Baazaoui • H.-L. Handelsmann • A. Makmur • J. Hallinan • A. Soundararajan • B. Wiestler • J. S. Kirschke • R. Wiest • E. Montagnon • L. Letourneau-Guillon • K. Oh • D. Lee • A. Hilbert • O. U. Aydin • D. Rallios • J. Rieger • S. Tanioka • A. Koch • D. Frey • A. Qayyum • M. Mazher • S. Niederer • N. Disch • J. Holzschuh • D. LaBella • F. Galati • D. Falcetta • M. A. Zuluaga • C. Lin • H. Zhao • Z. Zhang • M. Zhang • X. You • H. Zhang • G.-Z. Yang • Y. Gu • S. Ra • J. Hwang • H. Park • J. Chen • M. Wodzinski • H. Müller • N. Mansouri • F. Autrusseau • C. Yalçin • R. E. Hamadache • C. Lisazo • J. Salvi • A. Casamitjana • X. Lladó • U. M. Lal-Trehan Estrada • V. Abramova • L. Giancardo • A. Oliver • P. Casademunt • A. Galdran • M. Delucchi • J. Liu • H. Huang • Y. Cui • Z. Lin • Y. Liu • S. Zhu • T. R. Patel • A. H. Siddiqui • V. M. Tutino • M. Orouskhani • H. Wang • M. Mossa-Basha • Y. Sato • S. Hirsch • S. Wegener • B. Menze
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA.
Preprint (Jul. 2025). arXiv

[1937]

L. Bothmann • P. A. Boustani • J. M. Alvarez • G. Casalicchio • B. Bischl • S. Dandl
Privilege Scores.
EWAF 2025 - 4th European Workshop on Algorithmic Fairness. Eindhoven, The Netherlands, Jun 30-Jul 02, 2025. arXiv

[1936]

L. Bothmann • K. Peters • B. Bischl
What is Fairness? On Protected Attributes and Fictitious Worlds.
EWAF 2025 - 4th European Workshop on Algorithmic Fairness. Eindhoven, The Netherlands, Jun 30-Jul 02, 2025. URL

[1935]

C. Leininger • S. Rittel • L. Bothmann
Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective.
EWAF 2025 - 4th European Workshop on Algorithmic Fairness. Eindhoven, The Netherlands, Jun 30-Jul 02, 2025. URL

[1934]

P. O. Schenk • C. Kern • T. D. Buskirk
Fares on Fairness: Using a Total Error Framework to Examine the Role of Measurement and Representation in Training Data on Model Fairness and Bias.
EWAF 2025 - 4th European Workshop on Algorithmic Fairness. Eindhoven, The Netherlands, Jun 30-Jul 02, 2025. URL

[1933]

C. Strasser Ceballos • M. Novotny • C. Kern
Re-evaluating the role of refugee integration factors for building more equitable allocation algorithms.
EWAF 2025 - 4th European Workshop on Algorithmic Fairness. Eindhoven, The Netherlands, Jun 30-Jul 02, 2025. URL

[1932]

S. Yuan • E. Nie • B. Ma • M. Färber
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers.
IJCNN 2025 - International Joint Conference on Neural Networks. Rome, Italy, Jun 30-Jul 05, 2025. To be published. Preprint available. arXiv

[1931]

V. Ehm • N. El Amrani • Y. Xie • L. Bastian • M. Gao • W. Wang • L. Sang • D. Cao • Z. Lähner • D. Cremers • F. Bernard
Beyond Complete Shapes: A Benchmark for Quantitative Evaluation of 3D Shape Surface Matching Algorithms.
SGP 2025 - Symposium on Geometry Processing. Bilbao, Spain, Jun 30-Jul 04, 2025. DOI GitHub

[1930]

C. Strasser Ceballos • C. Kern
Location matching on shaky grounds: Re-evaluating algorithms for refugee allocation.
ACM FAccT 2025 - 8th ACM Conference on Fairness, Accountability, and Transparency. Athens, Greece, Jun 23-26, 2025. DOI

[1929]

A. Mallol-Ragolta • M. Gonzalez-Machorro • R. von Heynitz • K. Scherzer • I. Cordts • B. W. Schuller
Early Detection of ALS in Absence of Speech Impairments with Computer Audition.
AIME 2025 - 23rd International Conference on Artificial Intelligence in Medicine. Pavia, Italy, Jun 23-26, 2025. DOI

[1928]

F. Ghorbanpour • T. Z. Malaguth • A. Akbaritabar
Differentiating Emigration from Return Migration of Scholars Using Name-Based Nationality Detection Models.
ICWSM 2025 - 19th International AAAI Conference on Web and Social Media. Copenhagen, Denmark, Jun 23-26, 2025. DOI

[1927]

I. Tsangko • A. Triantafyllopoulos • E. Kyriakidis • G. Margetis • B. W. Schuller
Large Language Models for the Analysis of Project Proposals.
AI-HCI 2025 - 6th International Conference on Artificial Intelligence in Human Computer Interaction. Gothenburg, Sweden, Jun 22-27, 2025. DOI

[1926]

O. Dhaouadi • J. Meier • J. Kaiser • D. Cremers
Shape Your Ground: Refining Road Surfaces Beyond Planar Representations.
IV 2025 - 36th IEEE Intelligent Vehicles Symposium. Napoca, Romania, Jun 22-25, 2025. DOI

[1925]

O. Dhaouadi • J. Meier • L. Wahl • J. Kaiser • L. Scalerandi • N. Wandelburg • Z. Zhou • N. Berinpanathan • H. Banzhaf • D. Cremers
Highly Accurate and Diverse Traffic Data: The DeepScenario Open 3D Dataset.
IV 2025 - 36th IEEE Intelligent Vehicles Symposium. Napoca, Romania, Jun 22-25, 2025. DOI

[1924]

F. Förster • Q. Khan • D. Cremers
Decentralized Reinforcement Learning for Multi-Agent Navigation in Unconstrained Environments.
IV 2025 - 36th IEEE Intelligent Vehicles Symposium. Napoca, Romania, Jun 22-25, 2025. DOI

[1923]

J. Meier • L. Inchingolo • O. Dhaouadi • Y. Xia • J. Kaiser • D. Cremers
MonoCT: Overcoming Monocular 3D Detection Domain Shift with Consistent Teacher Models.
IV 2025 - 36th IEEE Intelligent Vehicles Symposium. Napoca, Romania, Jun 22-25, 2025. To be published. Preprint available. arXiv

[1922]

F. Li • Y. Bi • D. Huang • Z. Jiang • N. Navab
Robotic CBCT Meets Robotic Ultrasound.
IPCAI 2025 - International Conference on Information Processing in Computer-Assisted Interventions. Berlin, Germany, Jun 17-18, 2025. To be published. Preprint available. arXiv

[1921]

L. Bastian • M. Rashed • N. Navab • T. Birdal
Continuous-Time SO(3) Forecasting with Savitzky--Golay Neural Controlled Differential Equations.
4DVision @CVPR 2025 - Workshop on 4D Vision: Modeling the Dynamic World at IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. arXiv

[1920]

T. Liu • Z. Lai • J. Wang • G. Zhang • S. Chen • P. Torr • V. Demberg • V. Tresp • J. Gu
Multimodal Pragmatic Jailbreak on Text-to-image Models.
CVPR 2025 - 2nd Workshop on Responsible Generative AI at IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. Best Paper Award. URL GitHub

[1919]

S. A. Baumann • F. Krause • M. Neumayr • N. Stracke • M. Sevi • V. T. Hu • B. Ommer
Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI GitHub

[1918]

Q. Bouniot • I. Redko • A. Mallasto • C. Laclau • O. Struckmeier • K. Arndt • M. Heinonen • V. Kyrki • S. Kaski
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

[1917]

H. Chen • H. Li • Y. Zhang • G. Zhang • J. Bi • P. Torr • J. Gu • D. Krompass • V. Tresp
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

[1916]

Z. Chen • Y. Wang • L. Nan • X. Zhu
Parametric Point Cloud Completion for Polygonal Surface Reconstruction.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI GitHub

[1915]

C. Curreli • D. Muhle • A. Saroha • Z. Ye • R. Marin • D. Cremers
Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI GitHub

[1914]

T. Dagès • S. Weber • Y.-W. E. Lin • R. Talmon • D. Cremers • M. Lindenbaum • A. M. Bruckstein • R. Kimmel
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

[1913]

S. Dziadzio • V. Udandarao • K. Roth • A. Prabhu • Z. Akata • S. Albanie • M. Bethge
How to Merge Your Multimodal Models Over Time?
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

[1912]

O. Hahn • C. Reich • N. Araslanov • D. Cremers • C. Rupprecht • S. Roth
Scene-Centric Unsupervised Panoptic Segmentation.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI GitHub

[1911]

T. Hannan • M. M. Islam • J. Gu • T. Seidl • G. Bertasius
ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI GitHub

[1910]

S. Kim • R. Xiao • M.-I. Georgescu • S. Alaniz • Z. Akata
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

[1909]

W. Li • H. Xu • J. Huang • H. Jung • P. K. Yu • N. Navab • B. Busam
GCE-Pose: Global Context Enhancement for Category-level Object Pose Estimation.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI GitHub

[1908]

D. Mildenberger • P. Hager • D. Rückert • M. J. Menten
A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

[1907]

E. Özsoy • C. Pellegrini • T. Czempiel • F. Tristram • K. Yuan • D. Bani-Harouni • U. Eck • B. Busam • M. Keicher • N. Navab
MM-OR: A Large Multimodal Operating Room Dataset for Semantic Understanding of High-Intensity Surgical Environments.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI GitHub

[1906]

R. Qorbani • G. Villani • T. Panagiotakopoulos • M. B. Colomer • L. Härenstam-Nielsen • M. Segu • P. L. Dovesi • J. Karlgren • D. Cremers • F. Tombari • M. Poggi
Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic Segmentation.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

[1905]

P. Roetzer • V. Ehm • D. Cremers • Z. Lähner • F. Bernard
Higher-Order Ratio Cycles for Fast and Globally Optimal Shape Matching.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

[1904]

K. Roth • Z. Akata • D. Damen • I. Balažević • O. J. Hénaff
Context-Aware Multimodal Pretraining.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

[1903]

L. Sang • Z. Canfes • D. Cao • R. Marin • F. Bernard • D. Cremers
4Deform: Neural Surface Deformation for Robust Shape Interpolation.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

[1902]

D. Schnaus • N. Araslanov • D. Cremers
It's a (Blind) Match! Towards Vision-Language Correspondence without Parallel Data.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

[1901]

J. Schusterbauer • M. Gui • F. Fundel • B. Ommer
Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

[1900]

D. Sinitsyn • L. Härenstam-Nielsen • D. Cremers
PRaDA: Projective Radial Distortion Averaging.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

[1899]

N. Stracke • S. A. Baumann • K. Bauer • F. Fundel • B. Ommer
CleanDIFT: Diffusion Features without Noise.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

[1898]

F. Wimbauer • W. Chen • D. Muhle • C. Rupprecht • D. Cremers
AnyCam: Learning to Recover Camera Poses and Intrinsics from Casual Videos.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

[1897]

R. Xiao • S. Kim • M.-I. Georgescu • Z. Akata • S. Alaniz
FLAIR: VLM with Fine-grained Language-informed Image Representations.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI GitHub

[1896]

Y. Xie • V. Ehm • P. Roetzer • N. Amrani • M. Gao • F. Bernard • D. Cremers
EchoMatch: Partial-to-Partial Shape Matching via Correspondence Reflection.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

[1895]

Y. Yuan • Y. Xia • D. Cremers • M. Sester
SparseAlign: a Fully Sparse Framework for Cooperative Object Detection.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

[1894]

G. Zhang • M. L. A. Fok • J. Ma • Y. Xia • D. Cremers • P. Torr • V. Tresp • J. Gu
Localizing Events in Videos with Multimodal Queries.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

[1893]

D. Zhu • Y. Di • S. Gavranovic • S. Ilic
SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

[1892]

Y. Yeganeh • A. Farshad • I. Charisiadis • M. Hasny • M. Hartenberger • B. Ommer • N. Navab • E. Adeli
Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. Highlight Paper. DOI

[1891]

L. Waldmann • A. Shah • Y. Wang • N. Lehmann • A. J. Stewart • Z. Xiong • X. Zhu • S. Bauer • J. Chuang
Panopticon: Advancing Any-Sensor Foundation Models for Earth Observation.
EARTHVISION @CVPR 2025 - Workshop EarthVision: Large Scale Computer Vision for Remote Sensing Imagery at IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

[1890]

E. Özsoy • F. Holm • C. Pellegrini • T. Czempiel • M. Saleh • N. Navab • B. Busam
Location-Free Scene Graph Generation.
MULA @CVPR 2025 - 8th Multimodal Learning and Applications Workshop at IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

[1889]

Y. Luo • R. Hoffmann • Y. Xia • O. Wysocki • B. Schwab • T. H. Kolbe • D. Cremers
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning.
PBVS @CVPR 2025 - 21st IEEE Workshop on Perception Beyond the Visible Spectrum at IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI GitHub

[1888]

D. Zverev • T. Wiedemer • A. Prabhu • M. Bethge • W. Brendel • A. S. Koepke
VGGSounder: Audio-Visual Evaluations for Foundation Models.
Sight and Sound @CVPR 2025 - Workshop Sight and Sound at IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. PDF

[1887]

W. Tang • W. Li • X. Liang • O. Wysocki • F. Biljecki • C. Holst • B. Jutzi
Texture2LoD3: Enabling LoD3 Building Reconstruction With Panoramic Images.
USM3D @CVPR 2025 - 2nd Workshop on Urban Scene Modeling at IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI GitHub

[1886]

M. Aljoud • G. M. Tavares • C. Leiber • T. Seidl
DCMatch - Identify Matching Architectures in Deep Clustering through Meta-Learning.
PAKDD 2025 - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Sydney, Australia, Jun 10-13, 2025. DOI GitHub

[1885]

T. Weber • M. Ingrisch • B. Bischl • D. Rügamer
Preventing Sensitive Information Leakage via Post-hoc Orthogonalization with Application to Chest Radiograph Embeddings.
PAKDD 2025 - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Sydney, Australia, Jun 10-13, 2025. DOI GitHub

[1884]

F. P. Patricio • F. Krahmer • P. Catala
Stable Retrieval for Unlimited Sampling via Adaptive Local Representations.
SSP 2025 - IEEE Statistical Signal Processing Workshop. Edinburgh, Scotland, Jun 08-11, 2025. DOI

[1883]

M. Ahmadpanah • M. Gobbi • D. Hedin • J. Kinder • A. Sabelfeld
CodeX: Contextual Flow Tracking for Browser Extensions.
CODASPY 2025 - 15th ACM Conference on Data and Application Security and Privacy. Pittsburgh, PA, USA, Jun 04-06, 2025. DOI

[1882]

J. Kaiser • J. Eigenmann • D. Rückert • G. Kaissis
User-Level Differential Privacy in Medical Machine Learning.
TPDP 2025 - Workshop on Theory and Practice of Differential Privacy. Google, Mountain View, CA, USA, Jun 02-03, 2025. PDF

[1881]

V. Margraf • T. Koerner • A. Tornede • M. Wever
RunAndSchedule2Survive: Algorithm Scheduling Based on Run2Survive.
ACM Transactions on Evolutionary Learning and Optimization Just accepted. Jun. 2025. DOI

[1880]

L. Merker • M. Blessing • B. Zhang • H. S. Stein
Information Dense and Industry Scalable Accelerated Formation.
Advanced Intelligent Discovery. Jun. 2025. DOI

[1879]

H. Boche • A. Fono • G. Kutyniok
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement.
Applied and Computational Harmonic Analysis 77.101763. Jun. 2025. DOI

[1878]

L. Merker • B. Zhang • J. Yuan • S. Ji • H. S. Stein
Insight generation from information-dense formation protocols.
Batteries & Supercaps.e202500153. Jun. 2025. DOI

[1877]

K. D. Bartl-Pokorny • A. Mallol-Ragolta • A. Spiesberger • A. Semertzidou • J. Löchner • F. B. Pokorny • B. W. Schuller
'Hey Smartphone, Am I Ill?' Detecting Diseases From The Voice.
Frontiers Frontiers for Young Minds. Jun. 2025. URL

[1876]

C. S. Vetter • A. Bender • D. B. Dwyer • M. Montembeault • A. Ruef • K. Chrisholm • L. Kambeitz-Ilankovic • L. A. Antonucci • S. Ruhrmann • J. Kambeitz • M. Lichtenstein • A. Riecher • R. Upthegrove • R. K. R. Salokangas • J. Hietala • C. Pantelis • R. Lencer • E. Meisenzahl • S. Wood • P. Brambilla • S. Borgwardt • P. Falkai • A. Bertolino • N. Koutsouleris • PRONIA Consortium
Exploring the Predictive Value of Structural Covariance Networks for the Diagnosis of Schizophrenia.
Frontiers in Psychiatry 16. Jun. 2025. DOI

[1875]

E. Pozzoli • A. Scagliotti
Approximation of diffeomorphisms for quantum state transfers.
IEEE Control Systems Letters Early Access. Jun. 2025. DOI

[1874]

D. Zhao • M. Asgarimehr • K. Heidler • J. Wickert • X. Zhu • L. Mou
Deep Learning-Based GNSS-R Global Vegetation Water Content: Dataset, Estimation, and Uncertainty.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Early Access. Jun. 2025. DOI

[1873]

Y. Ma • Q. Khan • D. Cremers
MA-DV2F: A Multi-Agent Navigation Framework Using Dynamic Velocity Vector Field.
IEEE Robotics and Automation Letters 10.6. Jun. 2025. DOI GitHub

[1872]

S. Wang • Q. Cheng • Q. Cheng • W. Zhang • S.-C. Wu • N. Zeller • D. Cremers • N. Navab
VoxNeRF: Bridging Voxel Representation and Neural Radiance Fields for Enhanced Indoor View Synthesis.
IEEE Robotics and Automation Letters 10.6. Jun. 2025. DOI

[1871]

J. Külz • M. Terzer • M. Magri • A. Giusti • M. Althoff
Holistic Construction Automation with Modular Robots: From High-Level Task Specification to Execution.
IEEE Transactions on Automation Science and Engineering Early Access. Jun. 2025. DOI

[1870]

P. Gupta • M. Wever • E. Hüllermeier
Information Leakage Detection through Approximate Bayes-optimal Prediction.
Information Sciences In Press, Journal Pre-proof.122419. Jun. 2025. DOI

[1869]

X. Zhao • Z. Xiong • P. Karlshöfer • N. Tziolas • M. Wiesmeier • U. Heiden • X. Zhu
Soil organic carbon estimation using spaceborne hyperspectral composites on a large scale.
International Journal of Applied Earth Observation and Geoinformation 140. Jun. 2025. DOI

[1868]

C. Wu • B. Ma • Z. Zhang • N. Deng • Y. He • Y. Xue
Evaluating Zero-Shot Multilingual Aspect-Based Sentiment Analysis with Large Language Models.
International Journal of Machine Learning and Cybernetics. Jun. 2025. DOI

[1867]

Q. Xu • L. F. De Vos • Y. Shi • N. Rüther • A. Bronstert • X. Zhu
Urban Flood Modeling and Forecasting with Deep Neural Operator and Transfer Learning.
Journal of Hydrology In Press, Journal Pre-proof.133705. Jun. 2025. DOI

[1866]

Y. Lemaréchal • G. Couture • F. Pelletier • R. Lefol • P.-L. Asselin • S. Ouellet • J. Bernard • L. Ebrahimpour • V. S. K. Manem • J. Topalis • B. Schachtner • S. Jodogne • P. Joubert • K. Jeblick • M. Ingrisch • P. Després
PARADIM: A Platform to Support Research at the Interface of Data Science and Medical Imaging.
Journal of Imaging Informatics in Medicine. Jun. 2025. DOI

[1865]

K. Jin • J. Latz • C. Liu • A. Scagliotti
Losing momentum in continuous-time stochastic optimisation.
Journal of Machine Learning Research 26.148. Jun. 2025. URL

[1864]

S. Campell • P. Liu • S. Nyholm
Can Chatbots Preserve Our Relationships with the Dead?
Journal of the American Philosophical Association 11.2. Jun. 2025. DOI

[1863]

M. Rauscher • A. Scagliotti • F. Pagginelli Patricio
Shortest-path recovery from signature with an optimal control approach.
Mathematics of Control, Signals, and Systems 37. Jun. 2025. DOI

[1862]

M. Balcerak • J. Weidner • P. Karnakov • I. Ezhov • S. Litvinov • P. Koumoutsakos • T. Amiranashvili • R. Z. Zhang • J. S. Lowengrub • I. Yakushev • B. Wiestler • B. Menze
Individualizing glioma radiotherapy planning by optimization of a data and physics-informed discrete loss.
Nature Communications 16.5982. Jun. 2025. DOI

[1861]

P. Wicke • M. M. Bolognesi
Red and blue language: Word choices in the Trump and Harris 2024 presidential debate.
PLOS One 20.6. Jun. 2025. DOI GitHub

[1860]

R. R. Valiev • R. T. Nasibullin • H. Sandström • P. Rinke • K. Puolamäki • T. Kurten
Predicting intersystem crossing rate constants of alkoxy-radical pairs with structure-based descriptors and machine learning.
Physical Chemistry Chemical Physics Advance Article. Jun. 2025. DOI

[1859]

S. Maskey • G. Kutyniok • R. Levie
Generalization Bounds for Message Passing Networks on Mixture of Graphons.
SIAM Journal on Mathematics of Data Science 7.2. Jun. 2025. DOI

[1858]

T. Boege • M. Drton • B. Hollering • S. Lumpp • P. Misra • D. Schkoda
Conditional independence in stationary distributions of diffusions.
Stochastic Processes and their Applications 184.104604. Jun. 2025. DOI

[1857]

L. Gosch • M. Sabanayagam • D. Ghoshdastidar • S. Günnemann
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks.
Transactions on Machine Learning Research. Jun. 2025. URL

[1856]

T. Kaufmann • P. Weng • V. Bengs • E. Hüllermeier
A Survey of Reinforcement Learning from Human Feedback.
Transactions on Machine Learning Research. Jun. 2025. URL

[1855]

P. Pisal • O. Krejci • P. Rinke
Machine learning accelerated descriptor design for catalyst discovery in CO2 to methanol conversion.
npj Computational Materials 11.213. Jun. 2025. DOI

[1854]

A. Aghdam • V. T. Hu • B. Ommer
ActAlign: Zero-Shot Fine-Grained Video Classification via Language-Guided Sequence Alignment.
Preprint (Jun. 2025). arXiv

[1853]

S. Almi • M. Fornasier • J. Klemenc • A. Scagliotti
Balanced quasistatic evolutions of critical points in metric spaces.
Preprint (Jun. 2025). arXiv

[1852]

D. Bani-Harouni • C. Pellegrini • E. Özsoy • M. Keicher • N. Navab
Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning.
Preprint (Jun. 2025). arXiv

[1851]

C. Benjamins • H. Graf • S. Segel • D. Deng • T. Ruhkopf • L. Hennig • S. Basu • N. Mallik • E. Bergman • D. Chen • F. Clément • M. Feurer • K. Eggensperger • F. Hutter • C. Doerr • M. Lindauer
carps: A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks.
Preprint (Jun. 2025). arXiv URL

[1850]

A. Bergmeister • M. K. Lal • S. Jegelka • S. Sra
A projection-based framework for gradient-free and parallel learning.
Preprint (Jun. 2025). arXiv

[1849]

N. Bhatia • P. Rinke • O. Krejci
Leveraging active learning-enhanced machine-learned interatomic potential for efficient infrared spectra prediction.
Preprint (Jun. 2025). arXiv

[1848]

V. Blaschke • M. Winkler • C. Förster • G. Wenger-Glemser • B. Plank
A Multi-Dialectal Dataset for German Dialect ASR and Dialect-to-Standard Speech Translation.
Preprint (Jun. 2025). arXiv

[1847]

S. Casola • Y. J. Liu • S. Peng • O. Kraus • A. Gatt • B. Plank
Evaluation Should Not Ignore Variation: On the Impact of Reference Set Choice on Summarization Metrics.
Preprint (Jun. 2025). arXiv

[1846]

C. Casolo • S. Becker • N. Kilbertus
Identifiability Challenges in Sparse Linear Ordinary Differential Equations.
Preprint (Jun. 2025). arXiv

[1845]

C. Chan • Y. Yim • H. Zeng • Z. Zou • X. Cheng • Z. Sun • Z. Deng • K. Chung • Y. Ao • Y. Fan • C. Jiayang • E. Nie • G. Y. Wong • H. Schmid • H. Schütze • S. See • Y. Song
XToM: Exploring the Multilingual Theory of Mind for Large Language Models.
Preprint (Jun. 2025). arXiv

[1844]

S. Chen • Y. Shi • X. Zhu
Enhancing Monocular Height Estimation via Weak Supervision from Imperfect Labels.
Preprint (Jun. 2025). arXiv GitHub

[1843]

T. Cheng • T. Vatter • T. Nagler • K. Chen
Vine Copulas as Differentiable Computational Graphs.
Preprint (Jun. 2025). arXiv

[1842]

E. S. Escriche • S. Jegelka
Learning equivariant models by discovering symmetries with learnable augmentations.
Preprint (Jun. 2025). arXiv

[1841]

K. Göbler • T. Windisch • M. Drton
Nonlinear Causal Discovery for Grouped Data.
Preprint (Jun. 2025). arXiv

[1840]

E. Guha • R. Marten • S. Keh • N. Raoof • G. Smyrnis • H. Bansal • M. Nezhurina • J. Mercat • T. Vu • Z. Sprague • A. Suvarna • B. Feuer • L. Chen • Z. Khan • E. Frankel • S. Grover • C. Choi • N. Muennighoff • S. Su • W. Zhao • J. Yang • S. Pimpalgaonkar • K. Sharma • C. C.-J. Ji • Y. Deng • S. Pratt • V. Ramanujan • J. Saad-Falcon • J. Li • A. Dave • A. Albalak • K. Arora • B. Wulfe • C. Hegde • G. Durrett • S. Oh • M. Bansal • S. Gabriel • A. Grover • K.-W. Chang • V. Shankar • A. Gokaslan • M. A. Merrill • T. Hashimoto • Y. Choi • J. Jitsev • R. Heckel • M. Sathiamoorthy • A. G. Dimakis • L. Schmidt
OpenThoughts: Data Recipes for Reasoning Models.
Preprint (Jun. 2025). arXiv URL

[1839]

J. Huang • J. Liang • J. Hu • M. Sundermeyer • P. K. T. Yu • N. Navab • B. Busam
XYZ-IBD: High-precision Bin-picking Dataset for Object 6D Pose Estimation Capturing Real-world Industrial Complexity.
Preprint (Jun. 2025). arXiv GitHub

[1838]

R. Huang • G. Zhai • Z. Bauer • M. Pollefeys • F. Tombari • L. Guibas • G. Huang • F. Engelmann
Video Perception Models for 3D Scene Synthesis.
Preprint (Jun. 2025). arXiv

[1837]

E. Kavak • T. N. Wolf • C. Wachinger
DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation.
Preprint (Jun. 2025). arXiv

[1836]

O. Kuzyk • Z. Li • M. Pollefeys • X. Wang
VisualChef: Generating Visual Aids in Cooking via Mask Inpainting.
Preprint (Jun. 2025). arXiv

[1835]

X. Ma • C. Lin • Y. Zhang • V. Tresp • Y. Ma
Agentic Neural Networks: Self-Evolving Multi-Agent Systems via Textual Backpropagation.
Preprint (Jun. 2025). arXiv

[1834]

Y. Ma • D. Frauen • E. Javurek • S. Feuerriegel
Foundation Models for Causal Inference via Prior-Data Fitted Networks.
Preprint (Jun. 2025). arXiv

[1833]

P.-F. Massiani • C. Fiedler • L. Haverbeck • F. Solowjow • S. Trimpe
A kernel conditional two-sample test.
Preprint (Jun. 2025). arXiv

[1832]

C. J. Mertens • H. Häntze • S. Ziegelmayer • J. N. Kather • D. Truhn • S. H. Kim • F. Busch • D. Weller • B. Wiestler • M. Graf • F. Bamberg • C. L. Schlett • J. B. Weiss • S. Ringhof • E. Can • J. Schulz-Menger • T. Niendorf • J. Lammert • I. Molwitz • A. Kader • A. Hering • A. Meddeb • J. Nawabi • M. B. Schulze • T. Keil • S. N. Willich • L. Krist • M. Hadamitzky • A. Hannemann • F. Bassermann • D. Rückert • T. Pischon • A. Hapfelmeier • M. R. Makowski • K. K. Bressem • L. C. Adams
Deep learning-enabled MRI phenotyping uncovers regional body composition heterogeneity and disease associations in two European population cohorts.
Preprint (Jun. 2025). DOI

[1831]

J. Min • H. Li • T. Nagler • S. Li
Assessing Climate-Driven Mortality Risk: A Stochastic Approach with Distributed Lag Non-Linear Models.
Preprint (Jun. 2025). arXiv

[1830]

C. Pellegrini • E. Özsoy • D. Bani-Harouni • M. Keicher • N. Navab
From EHRs to Patient Pathways: Scalable Modeling of Longitudinal Health Trajectories with LLMs.
Preprint (Jun. 2025). arXiv

[1829]

A. Rahma • C. Datar • A. Cukarska • F. Dietrich
Rapid training of Hamiltonian graph networks without gradient descent.
Preprint (Jun. 2025). arXiv

[1828]

S. Roschmann • Q. Bouniot • V. Feofanov • I. Redko • Z. Akata
Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers.
Preprint (Jun. 2025). arXiv

[1827]

S. Schallmoser • J. Schweisthal • A. von Ehr • H. Ghanbari • F. Schiefenhövel • T. S. Valley • J. Wiens • S. Feuerriegel
Causal machine learning for assessing the effectiveness of off-label use of amiodarone in new-onset atrial fibrillation.
Preprint (Jun. 2025). DOI

[1826]

M. Schöffel • E. Garces Arias • M. Wiedner • P. Ruppert • M. Li • C. Heumann • M. Aßenmacher
Unveiling Factors for Enhanced POS Tagging: A Study of Low-Resource Medieval Romance Languages.
Preprint (Jun. 2025). arXiv

[1825]

R. Skorobogat • K. Roth • M.-I. Georgescu • Z. Akata
Subspace-Boosted Model Merging.
Preprint (Jun. 2025). arXiv

[1824]

I. Tsangko • A. Triantafyllopoulos • A. Abdelmoula • A. Mallol-Ragolta • B. W. Schuller
Reading Smiles: Proxy Bias in Foundation Models for Facial Emotion Recognition.
Preprint (Jun. 2025). arXiv

[1823]

K. Wang • T. Klug • S. Ruschke • J. Kirschke • R. Heckel
Reliable Evaluation of MRI Motion Correction: Dataset and Insights.
Preprint (Jun. 2025). arXiv

[1822]

Y. Wang • J. Bi • Y. Ma • S. Pirk
ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM.
Preprint (Jun. 2025). arXiv

[1821]

S. Yuan • E. Nie • L. Kouba • A. Y. Kangen • H. Schmid • H. Schütze • M. Färber
LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification.
Preprint (Jun. 2025). arXiv

[1820]

S. Yuan • E. Nie • Y. Sun • C. Zhao • W. LaCroix • M. Färber
Beyond Over-Refusal: Scenario-Based Diagnostics and Post-Hoc Mitigation for Exaggerated Refusals in LLMs.
Preprint (Jun. 2025). arXiv

[1819]

S. Yuan • E. Nie • M. Tawfelis • H. Schmid • H. Schütze • M. Färber
Hateful Person or Hateful Model? Investigating the Role of Personas in Hate Speech Detection by Large Language Models.
Preprint (Jun. 2025). arXiv

[1818]

K. Zaripova • E. Özsoy • N. Navab • A. Farshad
PhenoKG: Knowledge Graph-Driven Gene Discovery and Patient Insights from Phenotypes Alone.
Preprint (Jun. 2025). arXiv

[1817]

G. Zhang • T. Hannan • H. Kleiner • B. Aydemir • X. Xie • J. Lan • T. Seidl • V. Tresp • J. Gu
AViLA: Asynchronous Vision-Language Agent for Streaming Multimodal Data Interaction.
Preprint (Jun. 2025). arXiv

[1816]

Y. Zhang • H. Gao • H. Chen • W. Li • Y. Ma • V. Tresp
FedNano: Toward Lightweight Federated Tuning for Pretrained Multimodal Large Language Models.
Preprint (Jun. 2025). arXiv

[1815]

S. Zhao • I. Prapas • Z. Xiong • I. Karasante • I. Papoutsis • G. Camps-Valls • X. Zhu
Causal Graph Neural Networks for Robust Wildfire Forecasting Across Geographic Shifts.
Preprint (Jun. 2025). DOI

[1814]

X. Zhu • S. Chen • F. Zhang • Y. Shi • Y. Wang
GlobalBuildingAtlas: An Open Global and Complete Dataset of Building Polygons, Heights and LoD1 3D Models.
Preprint (Jun. 2025). arXiv

[1813]

D. N. Jakobi • M. Stegenwallner-Schütz • N. Hollenstein • C. Ding • R. Kaspere • A. M. Škorić • E. Pavlinusic Vilus • S. Frank • M.-L. Müller • K. M. Jensen de López • N. Kharlamov • H. B. Søndergaard Knudsen • Y. Berzak • E. Lion • I. A. Sekerina • C. Acarturk • M. F. Ansari • K. Harezlak • P. Kasprowski • A. Bautista • L. Beinborn • A. Bondar • A. Boznou • L. Bradshaw • J. M. Hofmann • T. Krosness • N. B. Soliva • A. Çepani • K. Cergol • A. Došen • M. Palmovic • A. Çerpja • D. Chirino • J. Chromý • V. Demberg • I. Škrjanec • N. D. Deniz • I. Fajardo • M. Giménez-Salvador • X. Mínguez-López • M. Filip • Z. Freibergs • J. Gomes • A. Janeiro • P. Luegi • J. Veríssimo • S. Gramatikov • J. Hasenäcker • A. Haveriku • N. Kote • M. M. Kamal • H. Kędzierska • D. Klimek-Jankowska • S. Kosutar • D. G. Krakowczyk • I. Krejtz • M. Łockiewicz • K. Lõo • J. Motiejūnienė • J. A. Nasir • J. S. Krog Nedergård • A. Özkan • M. Preininger • L. Pungă • D. R. Reich • C. Tschirner • Š. Rot • A. Säuberli • J. Solé-Casals • E. Strati • I. Svoboda • E. Trandafili • S. Varlokosta • M. Vulchanova • L. A.
MultiplEYE: Creating a multilingual eye-tracking-while-reading corpus.
ETRA 2025 - ACM Symposium on Eye Tracking Research and Applications. Tokyo, Japan, May 26-29, 2025. DOI

[1812]

J. W. Grootjen • F. Prummer • M. Bâce • C. Jiao • S. Jindal • A. Bulling
PETMEI: 10th Workshop on Pervasive Eye Tracking and Mobile Eye-Based Interaction.
PETMEI @ETRA 2025 - 10th International Workshop on Pervasive Eye Tracking and Mobile Eye-Based Interaction at the ACM Symposium on Eye Tracking Research and Applications. Tokyo, Japan, May 26-29, 2025. DOI

[1811]

A. H. Berger • L. Lux • A. Weers • M. J. Menten • D. Rückert • J. C. Paetzold
Pitfalls of topology-aware image segmentation.
IPMI 2025 - Information Processing in Medical Imaging. Kos Island, Greece, May 25-30, 2025. DOI

[1810]

F. Bongratz • Y. Li • S. Elbaroudy • C. Wachinger
3D Shape-to-Image Brownian Bridge Diffusion for Brain MRI Synthesis from Cortical Surfaces.
IPMI 2025 - Information Processing in Medical Imaging. Kos Island, Greece, May 25-30, 2025. DOI GitHub

[1809]

L. D. Reyes Vargas • M. J. Menten • J. C. Paetzold • N. Navab • M. F. Azampour
Skelite: Compact Neural Networks for Efficient Iterative Skeletonization.
IPMI 2025 - Information Processing in Medical Imaging. Kos Island, Greece, May 25-30, 2025. DOI

[1808]

V. Ruozzi • S. Matinfar • L. Schütz • B. Wiestler • A. Redaelli • E. Votta • N. Navab
BioSonix: Can Physics-based Sonification Perceptualize Tissue Deformations From Tool Interactions?
IPMI 2025 - Information Processing in Medical Imaging. Kos Island, Greece, May 25-30, 2025. DOI

[1807]

L. K. Senel
Exploring the frontiers of word understanding and language model evaluation in NLP.
Dissertation LMU München. May. 2025. DOI

[1806]

L. Schneider
Advancing hyperparameter optimization: foundations, multiple objectives and algorithmic innovations informed through benchmarking.
Dissertation LMU München. May. 2025. DOI

[1805]

D. Huang • N. Navab • Z. Jiang
Improving Probe Localization for Freehand 3D Ultrasound using Lightweight Cameras.
ICRA 2025 - IEEE International Conference on Robotics and Automation. Atlanta, GA, USA, May 19-23, 2025. DOI

[1804]

J. Jung • S. Boche • S. B. Laina • S. Leutenegger
Uncertainty-Aware Visual-Inertial SLAM with Volumetric Occupancy Mapping.
ICRA 2025 - IEEE International Conference on Robotics and Automation. Atlanta, GA, USA, May 19-23, 2025. DOI

[1803]

J. Meier • L. Inchingolo • O. Dhaouadi • Y. Xia • J. Kaiser • D. Cremers
MonoCT: Overcoming Monocular 3D Detection Domain Shift with Consistent Teacher Models.
ICRA 2025 - IEEE International Conference on Robotics and Automation. Atlanta, GA, USA, May 19-23, 2025. DOI

[1802]

S. Papatheodorou • S. Boche • S. Laina • S. Leutenegger
Efficient Submap-based Autonomous MAV Exploration using Visual-Inertial SLAM Configurable for LiDARs or Depth Cameras.
ICRA 2025 - IEEE International Conference on Robotics and Automation. Atlanta, GA, USA, May 19-23, 2025. DOI

[1801]

D. Strieder
Structure Uncertainty in Causal Inference.
Dissertation TU München. May. 2025. URL

[1800]

M. Dannehl • S. Valenzuela • J. Kinder
Which Instructions Matter the Most: A Saliency Analysis of Binary Function Embedding Models.
DLSP @SPW 2025 - 8th Deep Learning Security and Privacy Workshop at the 46th IEEE Symposium on Security and Privacy. San Francisco, CA, May 15, 2025. DOI

[1799]

O. Kononykhina
How ML-Filtered Answer Options Shape Responses and Interactions in CATI Surveys.
AAPOR 2025 - AAPOR 80th Annual Conference on Reshaping Democracy’s Oracle: TransForming Polls, Surveys, and the Measurement of Public Opinion in the Age of Al. St. Louis, MO, USA, May 14-16, 2025. URL

[1798]

S. Ball • S. Allmendinger • F. Kreuter • N. Kühl
Human Preferences in Large Language Model Latent Space: A Technical Analysis on the Reliability of Synthetic Data in Voting Outcome Prediction.
AAPOR 2025 - AAPOR 80th Annual Conference on Reshaping Democracy’s Oracle: TransForming Polls, Surveys, and the Measurement of Public Opinion in the Age of Al. St. Louis, MO, USA, May 14-16, 2025. To be published. Preprint available. arXiv

[1797]

C. Kühn • S.-V. Kuntz
Analysis of the Geometric Structure of Neural Networks and Neural ODEs via Morse Functions.
DS 2025 - SIAM Conference on Applications of Dynamical Systems. Denver, CO, USA, May 11-15, 2025. To be published. Preprint available. arXiv

[1796]

G. Manten • C. Casolo • S. W. Mogensen • N. Kilbertus
An Asymmetric Independence Model for Causal Discovery on Path Spaces.
CLeaR 2025 - 4th Conference on Causal Learning and Reasoning. Lausanne, Switzerland, May 07-09, 2025. URL

[1795]

H.-H. Chou • J. Maly • C. M. Verdun • B. Freitas Paulo da Costa • H. Mirandola
Get rid of your constraints and reparametrize: A study in NNLS and implicit bias.
AISTATS 2025 - 28th International Conference on Artificial Intelligence and Statistics. Mai Khao, Thailand, May 03-05, 2025. URL

[1794]

D. Dold • J. Kobialka • N. Palm • E. Sommer • D. Rügamer • O. Dürr
Paths and Ambient Spaces in Neural Loss Landscapes.
AISTATS 2025 - 28th International Conference on Artificial Intelligence and Statistics. Mai Khao, Thailand, May 03-05, 2025. URL

[1793]

A. Koebler • T. Decker • I. Thon • V. Tresp • F. Buettner
Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention.
AISTATS 2025 - 28th International Conference on Artificial Intelligence and Statistics. Mai Khao, Thailand, May 03-05, 2025. URL

[1792]

T. Nagler • T. Vatter
Solving Estimating Equations With Copulas.
AISTATS 2025 - 28th International Conference on Artificial Intelligence and Statistics. Mai Khao, Thailand, May 03-05, 2025. DOI

[1791]

R. Schulte • D. Rügamer
Additive Model Boosting: New Insights and Path(ologie)s.
AISTATS 2025 - 28th International Conference on Artificial Intelligence and Statistics. Mai Khao, Thailand, May 03-05, 2025. Oral Presentation. URL

[1790]

J. Marcon • P. Weinhold • M. Rzany • M. P. Fabritius • M. Winkelmann • A. Buchner • L. Eismann • J.-F. Jokisch • J. Casuscelli • G. B. Schulz • T. Knösel • M. Ingrisch • J. Ricke • C. G. Stief • S. Rodler • P. M. Kazmierczak
Radiomics-based differentiation of upper urinary tract urothelial and renal cell carcinoma in preoperative computed tomography datasets.
BMC Medical Imaging 25.196. May. 2025. DOI

[1789]

J. Baumsteiger • L. Celiberti • P. Rinke • M. Todorović • C. Franchini
Exploring Noncollinear Magnetic Energy Landscapes with Bayesian Optimization.
Digital Discovery 4.6. May. 2025. DOI

[1788]

L. Mamede • R. C. Sabàb • S. Van Coillie • J. Prevot • S. Sánchez-Ramón • C. Poli • A. Barasa • B. W. Schuller • A. Hendel • N. Garcelon • C. Boersma • P. Lee • C. Booth • L. D. Notarangelo • J. Drabwell • N. L. Rider • F. Staal • S. O. Burns • M. van Hagen • M. Pergrnt • J. G. Rivière • N. Mahlaoui
Navigating disruption in the PID landscape: embracing opportunities and anticipating threats in the next ten years.
Frontiers in Immunology 16. May. 2025. DOI

[1787]

C. Schweden • K. Hechinger • G. Kauermann • X. Zhu
Can Uncertainty Quantification Benefit From Label Embeddings? A Case Study on Local Climate Zone Classification.
IEEE Transactions on Geoscience and Remote Sensing 63. May. 2025. DOI

[1786]

S. Wang • N. A. A. Braham • X. Zhu
Weak-strong Graph Contrastive Learning Neural Network for Hyperspectral Image Classification.
IEEE Transactions on Geoscience and Remote Sensing Early Access. May. 2025. DOI GitHub

[1785]

S. Zhao • Z. Xiong • X. Zhu
RainScaler: A Physics-inspired Network for Precipitation Correction and Downscaling.
IEEE Transactions on Geoscience and Remote Sensing Early Access. May. 2025. DOI GitHub

[1784]

Q. Li • L. Mou • Y. Shi • X. Zhu
BANet: A bilateral attention network for extracting changed buildings between remote sensing imagery and cadastral maps.
International Journal of Applied Earth Observation and Geoinformation 139.104486. May. 2025. DOI

[1783]

Y. Mu • J. Guo • M. Shahzad • X. Zhu
National-scale tree species mapping with deep learning reveals forest management insights in Germany.
International Journal of Applied Earth Observation and Geoinformation 139.104522. May. 2025. DOI

[1782]

H. Boche • V. Fojtik • A. Fono • G. Kutyniok
Computability of Classification and Deep Learning: From Theoretical Limits to Practical Feasibility through Quantization.
Journal of Fourier Analysis and Applications 31.35. May. 2025. DOI

[1781]

C. Kern • U. Fischer-Abaigar • J. Schweisthal • D. Frauen • R. Ghani • S. Feuerriegel • M. van der Schaar • F. Kreuter
Algorithms for reliable decision-making need causal reasoning.
Nature Computational Science 5. May. 2025. DOI

[1780]

H. Homm • J. Laakso • P. Rinke
Efficient dataset generation for machine learning halide perovskite alloys.
Physical Review Materials 9.053802. May. 2025. DOI

[1779]

H. Löwe • C. A. Scholbeck • C. Heumann • B. Bischl • G. Casalicchio
fmeffects: An R Package for Forward Marginal Effects.
The R Journal 16.3. May. 2025. DOI

[1778]

R. L. Bach • C. Kern
Fairness, Justice, and Social Inequality in Machine Learning.
Preprint (May. 2025). DOI

[1777]

J. Bi • D. Yan • Y. Wang • W. Huang • H. Chen • G. Wan • M. Ye • X. Xiao • H. Schütze • V. Tresp • Y. Ma
CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process.
Preprint (May. 2025). arXiv

[1776]

N. Broestl • B. Lange • C. Voinea • G. Keeling • R. Lam
Evaluating Intra-firm LLM Alignment Strategies in Business Contexts.
Preprint (May. 2025). arXiv

[1775]

H. Chen • Y. Zhang • Y. Bi • Y. Zhang • T. Liu • J. Bi • J. Lan • J. Gu • C. Grosser • D. Krompass • N. Navab • V. Tresp
Does Machine Unlearning Truly Remove Model Knowledge? A Framework for Auditing Unlearning in LLMs.
Preprint (May. 2025). arXiv

[1774]

N. De La Fuente • M. Pilligua • D. Vidal • A. Soutiff • C. Curreli • D. Cremers • A. Barsky
Prototype Augmented Hypernetworks for Continual Learning.
Preprint (May. 2025). arXiv

[1773]

F. Eichin • Y. Du • P. Mondorf • B. Plank • M. A. Hedderich
Grokking ExPLAIND: Unifying Model, Data, and Training Attribution to Study Model Behavior.
Preprint (May. 2025). arXiv GitHub

[1772]

V. Fojtik • M. Matveev • H.-H. Chou • G. Kutyniok • J. Maly
Conflicting Biases at the Edge of Stability: Norm versus Sharpness Regularization.
Preprint (May. 2025). arXiv

[1771]

D. Frauen • V. Melnychuk • J. Schweisthal • M. van der Schaar • S. Feuerriegel
Treatment Effect Estimation for Optimal Decision-Making.
Preprint (May. 2025). arXiv

[1770]

D. Frauen • M. Schröder • K. Hess • S. Feuerriegel
Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data.
Preprint (May. 2025). arXiv

[1769]

S. Gerstner • H. Schütze
Understanding Gated Neurons in Transformers from Their Input-Output Functionality.
Preprint (May. 2025). arXiv

[1768]

F. Ghorbanpour • D. Dementieva • A. Fraser
Can Prompting LLMs Unlock Hate Speech Detection across Languages? A Zero-shot and Few-shot Study.
Preprint (May. 2025). arXiv

[1767]

X. Guo • A. Li • Y. Wang • S. Jegelka • Y. Wang
G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning.
Preprint (May. 2025). arXiv GitHub

[1766]

P. Henkel • J. Li • P. Rinke
Design Rules for Optimizing Quaternary Mixed-Metal Chalcohalides.
Preprint (May. 2025). arXiv

[1765]

P. Hofman • Y. Sale • E. Hüllermeier
Uncertainty Quantification with Proper Scoring Rules: Adjusting Measures to Prediction Tasks.
Preprint (May. 2025). arXiv

[1764]

N. Holzner • S. Maier • S. Feuerriegel
Generative AI and Creativity: A Systematic Literature Review and Meta-Analysis.
Preprint (May. 2025). arXiv

[1763]

A. Javanmardi • S. H. Zargarbashi • S. M. A. R. Thies • W. Waegeman • A. Bojchevski • E. Hüllermeier
Optimal Conformal Prediction under Epistemic Uncertainty.
Preprint (May. 2025). arXiv

[1762]

X. Jing • J. Wang • I. Tsangko • A. Triantafyllopoulos • B. W. Schuller
MELT: Towards Automated Multimodal Emotion Data Annotation by Leveraging LLM Embedded Knowledge.
Preprint (May. 2025). arXiv

[1761]

A. Karamolegkou • A. Borah • E. Cho • S. R. Choudhury • M. Galletti • R. Ghosh • P. Gupta • O. Ignat • P. Kargupta • N. Kotonya • H. Lamba • S.-J. Lee • A. Mangla • I. Mondal • D. Nazarova • P. Nemkova • D. Pisarevskaya • N. Rizwan • N. Sabri • D. Stammbach • A. Steinberg • D. Tomás • S. R. Wilson • B. Yi • J. H. Zhu • A. Zubiaga • A. Søgaard • A. Fraser • Z. Jin • R. Mihalcea • J. R. Tetreault • D. Dementieva
NLP for Social Good: A Survey of Challenges, Opportunities, and Responsible Deployment.
Preprint (May. 2025). arXiv

[1760]

T. Karvonen • G. Santin • T. Wenzel
General superconvergence for kernel-based approximation.
Preprint (May. 2025). arXiv

[1759]

J. Kim • S. Alaniz • C. Schmid • Z. Akata
LoFT: LoRA-fused Training Dataset Generation with Few-shot Guidance.
Preprint (May. 2025). arXiv GitHub

[1758]

C. Kühn • S.-V. Kuntz
The Influence of the Memory Capacity of Neural DDEs on the Universal Approximation Property.
Preprint (May. 2025). arXiv

[1757]

J. Lan • Y. Fu • U. Schlegel • G. Zhang • T. Hannan • H. Chen • T. Seidl
My Answer Is NOT 'Fair': Mitigating Social Bias in Vision-Language Models via Fair and Biased Residuals.
Preprint (May. 2025). arXiv

[1756]

Y. Li • S. Shao • M. Milling • B. W. Schuller
Large Language Models for Depression Recognition in Spoken Language Integrating Psychological Knowledge.
Preprint (May. 2025). arXiv GitHub

[1755]

Y. Liu • X. Xu • E. Nie • Z. Wang • S. Feng • D. Wang • Q. Li • H. Schütze
Look Within or Look Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning.
Preprint (May. 2025). arXiv GitHub

[1754]

S. Lockfisch • K. Schwethelm • M. J. Menten • R. Braren • D. Rückert • A. Ziller • G. Kaissis
On Arbitrary Predictions from Equally Valid Models.
Preprint (May. 2025). arXiv

[1753]

S. Maskey • R. Paolino • F. Jogl • G. Kutyniok • J. Lutzeyer
Graph Representational Learning: When Does More Expressivity Hurt Generalization?
Preprint (May. 2025). arXiv

[1752]

Y. Mu • Z. Xiong • Y. Wang • M. Shahzad • F. Essl • M. Kleunen • X. Zhu
GlobalGeoTree: A Multi-Granular Vision-Language Dataset for Global Tree Species Classification.
Preprint (May. 2025). arXiv

[1751]

E. Özsoy • A. Mamur • F. Tristram • C. Pellegrini • M. Wysocki • B. Busam • N. Navab
EgoExOR: An Ego-Exo-Centric Operating Room Dataset for Surgical Activity Understanding.
Preprint (May. 2025). arXiv

[1750]

E. Özsoy • C. Pellegrini • D. Bani-Harouni • K. Yuan • M. Keicher • N. Navab
ORQA: A Benchmark and Foundation Model for Holistic Operating Room Modeling.
Preprint (May. 2025). arXiv

[1749]

P. Scholl • A. Dietrich • S. Wolf • J. Lee • A.-A. Schäffer • G. Kutyniok • M. Iskandar
Interpretable Robotic Friction Learning via Symbolic Regression.
Preprint (May. 2025). arXiv

[1748]

M. Schröder • J. Hartenstein • S. Feuerriegel
PrivATE: Differentially Private Confidence Intervals for Average Treatment Effects.
Preprint (May. 2025). arXiv

[1747]

J. Schroeder • S. Howard • C. Eberle • J. Esslinger • N. Leopold-Kerschbaumer • K. V. Kepesidis • A. Döpp
Information-optimal measurement: From fixed sampling protocols to adaptive spectroscopy.
Preprint (May. 2025). arXiv

[1746]

I. Sen • B. Ma • G. Ahnert • A.-C. Haensch • T. Holtdirk • F. Kreuter • M. Strohmaier
Connecting Natural Language Processing and Survey Methodology: Potentials, Challenges, and Open Questions.
Preprint (May. 2025). DOI

[1745]

R. S.-E. Shim • D. De Cristofaro • C. M. Hu • A. Vietti • B. Plank
Languages in Multilingual Speech Foundation Models Align Both Phonetically and Semantically.
Preprint (May. 2025). arXiv

[1744]

R. Sonabend • J. Zobolas • R. Bin • P. Kopper • L. Burk • A. Bender
Examining marginal properness in the external validation of survival models with squared and logarithmic losses.
Preprint (May. 2025). arXiv

[1743]

J. Wang • P. Gupta • I. Habernal • E. Hüllermeier
Is Your Prompt Safe? Investigating Prompt Injection Attacks Against Open-Source LLMs.
Preprint (May. 2025). arXiv

[1742]

Q. Wang • M. Wang • N. Feldhus • S. Ostermann • Y. Cao • H. Schütze • S. Möller • V. Schmitt
Through a Compressed Lens: Investigating the Impact of Quantization on LLM Explainability and Interpretability.
Preprint (May. 2025). arXiv

[1741]

X. Wang • M. Wang • Y. Liu • H. Schütze • B. Plank
Refusal Direction is Universal Across Safety-Aligned Languages.
Preprint (May. 2025). arXiv

[1740]

Z. Wang • X. Xu • Y. Liu • Y. Zhang • P. Lin • S. Feng • X. Yang • D. Wang • H. Schütze
Why Do More Experts Fail? A Theoretical Analysis of Model Merging.
Preprint (May. 2025). arXiv GitHub

[1739]

C. Zhang • S. Wu • Y. Chen • M. Aßenmacher • C. Heumann • Y. Men • G. Fan • J. Gama
OBD-Finder: Explainable Coarse-to-Fine Text-Centric Oracle Bone Duplicates Discovery.
Preprint (May. 2025). arXiv GitHub

[1738]

F. Zhang • Y. Shi • X. Zhu
Global Collinearity-aware Polygonizer for Polygonal Building Mapping in Remote Sensing.
Preprint (May. 2025). arXiv GitHub

[1737]

S. Zhao • Z. Xiong • J. Zhao • X. Zhu
ExEBench: Benchmarking Foundation Models on Extreme Earth Events.
Preprint (May. 2025). arXiv GitHub

[1736]

D. Zhu • S. Gavranovic • F. Boussuge • B. Busam • S. Ilic
Generative Data Augmentation for Object Point Cloud Segmentation.
Preprint (May. 2025). arXiv

[1735]

J. Kobialka • E. Sommer • J. Kwon • D. Dold • D. Rügamer
Approximate Posteriors in Neural Networks: A Sampling Perspective.
AABI 2025 - 7th Symposium on Advances in Approximate Bayesian Inference collocated with the 13th International Conference on Learning Representations. Singapore, Apr 29, 2025. To be published. Preprint available. URL

[1734]

T. Nagler • D. Rügamer
Uncertainty Quantification for Prior-Fitted Networks using Martingale Posteriors.
AABI 2025 - 7th Symposium on Advances in Approximate Bayesian Inference collocated with the 13th International Conference on Learning Representations. Singapore, Apr 29, 2025. To be published. Preprint available. URL

[1733]

T. Rochussen • V. Fortuin
Sparse Gaussian Neural Processes.
AABI 2025 - 7th Symposium on Advances in Approximate Bayesian Inference collocated with the 13th International Conference on Learning Representations. Singapore, Apr 29, 2025. To be published. Preprint available. arXiv

[1732]

P. Lin • A. F. T. Martins • H. Schütze
XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples.
Findings @NAACL 2025 - Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Albuquerque, NM, USA, Apr 29-May 04, 2025. DOI GitHub

[1731]

R. Shim • B. Plank
Dialetto, ma Quanto Dialetto? Transcribing and Evaluating Dialects on a Continuum.
Findings @NAACL 2025 - Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Albuquerque, NM, USA, Apr 29-May 04, 2025. DOI

[1730]

F. Ghorbanpour • V. Hangya • A. Fraser
Fine-Grained Transfer Learning for Harmful Content Detection through Label-Specific Soft Prompt Tuning.
NAACL 2025 - Annual Conference of the North American Chapter of the Association for Computational Linguistics. Albuquerque, NM, USA, Apr 29-May 04, 2025. DOI

[1729]

K. Hämmerl • T. Limisiewicz • J. Libovický • A. Fraser
Beyond Literal Token Overlap: Token Alignability for Multilinguality.
NAACL 2025 - Annual Conference of the North American Chapter of the Association for Computational Linguistics. Albuquerque, NM, USA, Apr 29-May 04, 2025. DOI

[1728]

C. Ma • A. ImaniGooghari • H. Ye • R. Pei • E. Asgari • H. Schütze
Taxi1500: A Dataset for Multilingual Text Classification in 1500 Languages.
NAACL 2025 - Annual Conference of the North American Chapter of the Association for Computational Linguistics. Albuquerque, NM, USA, Apr 29-May 04, 2025. URL

[1727]

L. Madaan • D. Esiobu • P. Stenetorp • B. Plank • D. Hupkes
Lost in Inference: Rediscovering the Role of Natural Language Inference for Large Language Models.
NAACL 2025 - Annual Conference of the North American Chapter of the Association for Computational Linguistics. Albuquerque, NM, USA, Apr 29-May 04, 2025. DOI

[1726]

M. Spliethöver • T. Knebler • F. Fumagalli • M. Muschalik • B. Hammer • E. Hüllermeier • H. Wachsmuth
Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection.
NAACL 2025 - Annual Conference of the North American Chapter of the Association for Computational Linguistics. Albuquerque, NM, USA, Apr 29-May 04, 2025. DOI

[1725]

P. Lin • A. F. T. Martins • H. Schütze
A Recipe of Parallel Corpora Exploitation for Multilingual Large Language Models.
NAACL 2025 - Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Albuquerque, NM, USA, Apr 29-May 04, 2025. DOI

[1724]

M. Schöffel • M. Wiedner • E. Garces Arias • P. Ruppert • C. Heumann • M. Aßenmacher
Modern Models, Medieval Texts: A POS Tagging Study of Old Occitan.
NLP4DH 2025 - 5th International Conference on Natural Language Processing for Digital Humanities. Albuquerque, NM, USA, Apr 29-May 04, 2025. DOI

[1723]

I. d. S. Bueno Júnior • H. Ye • A. Wisiorek • H. Schütze
Privacy-Preserving Federated Learning for Hate Speech Detection.
SRW @NAACL 2025 - Student Research Workshop at the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Albuquerque, NM, USA, Apr 29-May 04, 2025. DOI

[1722]

B. Ma • C. A. Huang • A.-C. Haensch
Can Large Language Models Advance Crosswalks? The Case of Danish Occupation Codes.
SRW @NAACL 2025 - Student Research Workshop at the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Albuquerque, NM, USA, Apr 29-May 04, 2025. URL

[1721]

V. Blaschke
Beyond 'noisy' text: How (and why) to process dialect data.
W-NUT @NAACL 2025 - 10th Workshop on Noisy and User-generated Text at the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Albuquerque, NM, USA, Apr 29-May 04, 2025. Keynote Talk. PDF

[1720]

D. Geißler • A. Maarouf • S. Feuerriegel
Analyzing User Characteristics of Hate Speech Spreaders on Social Media.
WWW 2025 - ACM Web Conference. Sydney, Australia, Apr 28-May 02, 2025. DOI

[1719]

J. de Ruite • N. Sairam • A. Camero • K. Rafiezadeh Shahi • X. Zhu • M. W. Smith • H. Kreibich
The complex connection between flood risk and malaria dynamics in Sub-Saharan Africa.
EGU 2025 - General Assembly of the European Geosciences Union. Vienna, Austria, Apr 27-May 02, 2025. DOI

[1718]

S. Delgado Rodriguez • M. Windl • F. Alt • K. Marky
The TaPSI Research Framework - A Systematization of Knowledge on Tangible Privacy and Security Interfaces.
CHI 2025 - Conference on Human Factors in Computing Systems. Yokohama, Japan, Apr 26-May 01, 2025. DOI

[1717]

J. Leusmann • A. Belardinelli • L. Haliburton • S. Hasler • A. Schmidt • S. Mayer • M. Gienger • C. Wang
Investigating LLM-Driven Curiosity in Human-Robot Interaction.
CHI 2025 - Conference on Human Factors in Computing Systems. Yokohama, Japan, Apr 26-May 01, 2025. DOI

[1716]

T. Mitrevska • F. Chiossi • S. Mayer
ERP Markers of Visual and Semantic Processing in AI-Generated Images: From Perception to Meaning.
CHI 2025 - Conference on Human Factors in Computing Systems. Yokohama, Japan, Apr 26-May 01, 2025. DOI

[1715]

J. Simson • F. Draxler • S. Mehr • C. Kern
Preventing Harmful Data Practices by Using Participatory Input to Navigate the Machine Learning Multiverse.
CHI 2025 - Conference on Human Factors in Computing Systems. Yokohama, Japan, Apr 26-May 01, 2025. DOI

[1714]

M. Windl • R. Amberg • T. Kosch
The Illusion of Privacy: Investigating User Misperceptions in Browser Tracking Protection.
CHI 2025 - Conference on Human Factors in Computing Systems. Yokohama, Japan, Apr 26-May 01, 2025. DOI

[1713]

M. Windl • P. Z. Laboda • S. Mayer
Designing Effective Consent Mechanisms for Spontaneous Interactions in Augmented Reality.
CHI 2025 - Conference on Human Factors in Computing Systems. Yokohama, Japan, Apr 26-May 01, 2025. DOI

[1712]

M. Windl • P. Thalhammer • D. Müller • A. Schmidt • S. S. Feger
PrivacyHub: A Functional Tangible and Digital Ecosystem for Interoperable Smart Home Privacy Awareness and Control.
CHI 2025 - Conference on Human Factors in Computing Systems. Yokohama, Japan, Apr 26-May 01, 2025. DOI

[1711]

C. Bülte • S. Maskey • P. Scholl • J. von Berg • G. Kutyniok
Graph Neural Networks for Enhancing Ensemble Forecasts of Extreme Rainfall.
Climate Change AI @ICLR 2025 - Workshop on Tackling Climate Change with Machine Learning at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1710]

K. Forster • V. Wagner • L. Keil • M. A. Müller • T. Sellhorn • S. Feuerriegel
Tracking ESG Disclosures of European Companies with Retrieval-Augmented Generation.
Climate Change AI @ICLR 2025 - Workshop on Tackling Climate Change with Machine Learning at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1709]

T. Nagler • D. Rügamer
Uncertainty Quantification for Prior-Fitted Networks using Martingale Posteriors.
FPI @ICLR 2025 - Workshop on Frontiers in Probabilistic Inference: Learning meets Sampling at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. arXiv URL

[1708]

A. Reuter • T. G. J. Rudner • V. Fortuin • D. Rügamer
Can Transformers Learn Full Bayesian Inference in Context?
FPI @ICLR 2025 - Workshop on Frontiers in Probabilistic Inference: Learning meets Sampling at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. arXiv URL

[1707]

D. Rundel • E. Sommer • B. Bischl • D. Rügamer • M. Feurer
Efficiently Warmstarting MCMC for BNNs.
FPI @ICLR 2025 - Workshop on Frontiers in Probabilistic Inference: Learning meets Sampling at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1706]

J. Kobialka • E. Sommer • J. Kwon • D. Dold • D. Rügamer
Approximate Posteriors in Neural Networks: A Sampling Perspective.
FPI @ICLR 2025 - Workshop on Frontiers in Probabilistic Inference: Learning meets Sampling at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. Spotlight Presentation. URL

[1705]

C. Koke • Y. Shen • A. Saroha • M. Eisenberger • B. Rieck • M. M. Bronstein • D. Cremers
Graph Networks struggle with variable Scale.
ICBINB @ICLR 2025 - Workshop I Can’t Believe It’s Not Better: Challenges in Applied Deep Learning at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1704]

E. Abdelrahman • L. Zhao • V. T. Hu • M. Cord • P. Perez • M. Elhoseiny
ToddlerDiffusion: Interactive Structured Image Generation with Cascaded Schrödinger Bridge.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL GitHub

[1703]

K. Bhatia • F. Köhler • N. Thuerey
PRDP: Progressively Refined Differentiable Physics.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1702]

M. Bini • L. Girrbach • Z. Akata
Decoupling Angles and Strength in Low-rank Adaptation.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL GitHub

[1701]

Q. Bouniot • P. Mozharovskyi • F. d'Alché-Buc
Tailoring Mixup to Data for Calibration.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1700]

S. Dahan • G. Bénédict • L. Z. J. Williams • Y. Guo • D. Rückert • R. Leech • E. C. Robinson
SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL GitHub

[1699]

L. Fang • Y. Wang • Z. Liu • C. Zhang • S. Jegelka • J. Gao • B. Ding • Y. Wang
What is Wrong with Perplexity for Long-context Language Modeling?
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL GitHub

[1698]

A. Findeis • T. Kaufmann • E. Hüllermeier • S. Albanie • R. D. Mullins
Inverse Constitutional AI: Compressing Preferences into Principles.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL GitHub

[1697]

D. Frauen • K. Heß • S. Feuerriegel
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1696]

L. Girrbach • Y. Huang • S. Alaniz • T. Darrell • Z. Akata
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs).
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1695]

K. Heß • S. Feuerriegel
Stabilized Neural Prediction of Potential Outcomes in Continuous Time.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1694]

J. Kaiser • K. Schwethelm • D. Rückert • G. Kaissis
Laplace Sample Information: Data Informativeness Through a Bayesian Lens.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1693]

C. Kolb • T. Weber • B. Bischl • D. Rügamer
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1692]

M. Kollovieh • M. Lienen • D. Lüdke • L. Schwinn • S. Günnemann
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1691]

R. G. Laiz • T. Schmidt • S. Schneider
Self-supervised contrastive learning performs non-linear system identification.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1690]

Y. Li • D. Rügamer • B. Bischl • M. Rezaei
Calibrating LLMs with Information-Theoretic Evidential Deep Learning.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1689]

H. Lim • J. Choi • J. Choo • S. Schneider
Sparse autoencoders reveal selective remapping of visual concepts during adaptation.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1688]

L. Lux • A. H. Berger • A. Weers • N. Stucki • D. Rückert • U. Bauer • J. C. Paetzold
Topograph: An efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1687]

G. Manten • C. Casolo • E. Ferrucci • S. Mogensen • C. Salvi • N. Kilbertus
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1686]

M. Muschalik • F. Fumagalli • P. Frazzetto • J. Strotherm • L. Hermes • A. Sperduti • E. Hüllermeier • B. Hammer
Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1685]

L. Rauchwerger • S. Jegelka • R. Levie
Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1684]

L. Sang • Z. Canfes • D. Cao • F. Bernard • D. Cremers
Implicit Neural Surface Deformation with Explicit Velocity Fields.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1683]

P. Scholl • K. Bieker • H. Hauger • G. Kutyniok
ParFam -- (Neural Guided) Symbolic Regression Based on Continuous Global Optimization.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL GitHub

[1682]

M. Schröder • V. Melnychuk • S. Feuerriegel
Differentially private learners for heterogeneous treatment effects.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1681]

Y. Shehata • B. Holzschuh • N. Thuerey
Improved Sampling Of Diffusion Models In Fluid Dynamics With Tweedie's Formula.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1680]

E. Sommer • J. Robnik • G. Nozadze • U. Seljak • D. Rügamer
Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1679]

B. Tahmasebi • S. Jegelka
Generalization Bounds for Canonicalization: A Comparative Study with Group Averaging.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1678]

T. Uscidda • L. Eyring • K. Roth • F. J. Theis • Z. Akata • M. Cuturi
Disentangled Representation Learning with the Gromov-Monge Gap.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1677]

X. Wang • C. Hu • P. Röttger • B. Plank
Surgical, Cheap, and Flexible: Mitigating False Refusal in Language Models via Single Vector Ablation.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1676]

Y. Wang • M. Schröder • D. Frauen • J. Schweisthal • K. Heß • S. Feuerriegel
Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1675]

Q. Zhang • Y. Wang • J. Cui • X. Pan • Q. Lei • S. Jegelka • Y. Wang
Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1674]

C. Kern • M. P. Kim • A. Zhou
Multi-Accurate CATE is Robust to Unknown Covariate Shifts.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. Journal Track. URL URL

[1673]

M. Weber • L. Yu • Q. Yu • X. Deng • X. Shen • D. Cremers • L.-C. Chen
MaskBit: Embedding-free Image Generation via Bit Tokens.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. Journal Track. URL URL

[1672]

H. Baniecki • G. Casalicchio • B. Bischl • P. Biecek
Efficient and Accurate Explanation Estimation with Distribution Compression.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. Spotlight Presentation. URL GitHub

[1671]

D. Herbst • S. Jegelka
Higher-Order Graphon Neural Networks: Approximation and Cut Distance.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. Spotlight Presentation. URL

[1670]

M. Sabanayagam • L. Gosch • S. Günnemann • D. Ghoshdastidar
Exact Certification of (Graph) Neural Networks Against Label Poisoning.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. Spotlight Presentation. URL GitHub

[1669]

C. Koke • D. Schnaus • Y. Shen • A. Saroha • M. Eisenberger • B. Rieck • M. M. Bronstein • D. Cremers
On multi-scale Graph Representation Learning.
LMRL @ICLR 2025 - Workshop on Learning Meaningful Representations of Life at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1668]

S. Dziadzio • V. Udandarao • K. Roth • A. Prabhu • Z. Akata • S. Albanie • M. Bethge
How to Merge Multimodal Models Over Time?
MCDC @ICLR 2025 - Workshop on Modularity for Collaborative, Decentralized, and Continual Deep Learning at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1667]

C. Koke • Y. Shen • A. Saroha • M. Eisenberger • B. Rieck • M. M. Bronstein • D. Cremers
On Incorporating Scale into Graph Networks.
MLMP @ICLR 2025 - Workshop on Machine Learning Multiscale Processes at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. Best Paper Award. URL

[1666]

A. Modarressi • A. Köksal • A. Imani • M. Fayyaz • H. Schütze
MemLLM: Finetuning LLMs to Use An Explicit Read-Write Memory.
NFAM @ICLR 2025 - Workshop on New Frontiers in Associative Memories at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1665]

L. Wimmer • B. Bischl • L. Bothmann
Trust Me, I Know the Way: Predictive Uncertainty in the Presence of Shortcut Learning.
SCSL @ICLR 2025 - Workshop on Spurious Correlation and Shortcut Learning: Foundations and Solutions at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1664]

C. Kolb • B. Bischl • D. Rügamer
Differentiable Attention Sparsity via Structured D-Gating.
SLLM @ICLR 2025 - Workshop on Sparsity in LLMs at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1663]

A. Reuter • T. G. J. Rudner • V. Fortuin • D. Rügamer
Can Transformers Learn Full Bayesian Inference in Context?
SynthData @ICLR 2025 - Workshop SynthData: Will Synthetic Data Finally Solve the Data Access Problem? at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1662]

L. Meynent • I. Melev • K. Schürholt • G. Kauermann • D. Borth
Structure Is Not Enough: Leveraging Behavior for Neural Network Weight Reconstruction.
Weight Space Learning @ICLR 2025 - Workshop on Weight Space Learning at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. arXiv URL

[1661]

Z. Li • S. Yan • Y. Ma • Y. Li • X. Lyu • M. Schubert
Beyond Single-Step: Multi-Frame Action-Conditiones Video Generation for Reinforcement Learning Environments.
World Models @ICLR 2025 - Workshop on World Models: Understanding, Modelling and Scaling at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1660]

T. Decker • V. Tresp • F. Buettner
Why Uncertainty Calibration Matters for Reliable Perturbation-based Explanations.
XAI4Science @ICLR 2025 - Workshop XAI4Science: From Understanding Model Behavior to Discovering New Scientific Knowledge at the 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[1659]

R. Visser • F. Fumagalli • M. Muschalik • E. Hüllermeier • B. Hammer
Explaining Outliers using Isolation Forest and Shapley Interactions.
ESANN 2025 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, Belgium, Apr 23-25, 2025. PDF

[1658]

H. A. Gündüz
Designing and optimizing deep learning methods for genomic sequencing data.
Dissertation LMU München. Apr. 2025. DOI

[1657]

T. Weber
Advancing Deep Learning in medical imaging through generative modeling and representation learning.
Dissertation LMU München. Apr. 2025. DOI

[1656]

J. R. Jostan • L. M. Rodriguez • D. Z. Bernal • J. O. Berdugo • V. Aljure • F. Lopez • J. R. Lopez • N. Navab • D. Mateus • V. G. Duque
Ultrasound Nerve Segmentation with Deep Learning for Leprosy.
ISBI 2025 - IEEE 22nd International Symposium on Biomedical Imaging. Houston, TX, USA, Apr 14-17, 2025. DOI

[1655]

Z. Ding
Inductive representation learning and natural language question answering on temporal knowledge graphs.
Dissertation LMU München. Apr. 2025. DOI

[1654]

K. Schwethelm • J. Kaiser • J. Kuntzer • M. Yigitsoy • D. Rueckert • G. Kaissis
Differentially Private Active Learning: Balancing Effective Data Selection and Privacy.
SaTML 2025 - IEEE Conference on Secure and Trustworthy Machine Learning. Copenhagen, Denmark, Apr 09-11, 2025. DOI

[1653]

S. Bai • A. Kruspe • X. Zhu
Generating Synthetic Oracle Datasets to Analyze Noise Impact: A Study on Building Function Classification Using Tweets.
ECIR 2025 - 47th European Conference on Information Retrieval. Lucca, Italy, Apr 06-10, 2025. PDF

[1652]

M. Mironov • A. Marquard • D. Racek • C. Heumann • P. W. Thurner • M. Aßenmacher
A Geoparsing Pipeline for Multilingual Social Media Posts from Ukraine.
GeoExT @ECIR 2025 - 3rd International Workshop on Geographic Information Extraction from Texts at the 47th European Conference on Information Retrieval. Lucca, Italy, Apr 06-10, 2025. PDF

[1651]

H. Hauger • P. Scholl • G. Kutyniok
Robust identifiability for symbolic recovery of differential equations.
ICASSP 2025 - IEEE International Conference on Acoustics, Speech and Signal Processing. Hyderabad, India, Apr 06-11, 2025. DOI

[1650]

X. Jing • K. Zhou • A. Triantafyllopoulos • B. W. Schuller
Enhancing Emotional Text-to-Speech Controllability with Natural Language Guidance through Contrastive Learning and Diffusion Models.
ICASSP 2025 - IEEE International Conference on Acoustics, Speech and Signal Processing. Hyderabad, India, Apr 06-11, 2025. DOI

[1649]

I. Tsangko • A. Triantafyllopoulos • M. Müller • H. Schröter • B. W. Schuller
DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids.
ICASSP 2025 - IEEE International Conference on Acoustics, Speech and Signal Processing. Hyderabad, India, Apr 06-11, 2025. DOI

[1648]

J. Kostin • F. Krahmer • D. Stöger
How robust is randomized blind deconvolution via nuclear norm minimization against adversarial noise?
Applied and Computational Harmonic Analysis 76.101746. Apr. 2025. DOI

[1647]

B. Lange
Beyond the Ivory Tower? The Practical Role of Ethicists in Business.
Artificial Intelligence, Entrepreneurship and Risk. Technikzukünfte, Wissenschaft und Gesellschaft / Futures of Technology, Science and Society. Apr. 2025. DOI

[1646]

Q. Li • H. Taubenböck • X. Zhu
Identification of the potential for roof greening using remote sensing and deep learning.
Cities 159.105782. Apr. 2025. DOI

[1645]

J. K. Throm • M. Milling • A. Triantafyllopoulos • A. Kathan • A. F. Dörsam • J. Löchner • B. W. Schuller • K. E. Giel
Affective Dimensions in Maternal Voice During Child Feeding in Mothers With and Without Eating Disorder History—Findings From a Machine Learning Analysis of Speech Data.
European Eating Disorders Review Early Access. Apr. 2025. DOI

[1644]

C. Cipriani • M. Fornasier • A. Scagliotti
From NeurODEs to AutoencODEs: a mean-field control framework for width-varying Neural Networks.
European Journal of Applied Mathematics 36.Special Issue 2: From integro-differential models to data-oriented approaches for emergent phenomena. Apr. 2025. DOI

[1643]

M. Fornasier • P. Richtárik • K. Riedl • L. Sun
Consensus-Based Optimization with Truncated Noise.
European Journal of Applied Mathematics 36.Special Issue 2: From integro-differential models to data-oriented approaches for emergent phenomena. Apr. 2025. DOI

[1642]

A. Maarouf • S. Feuerriegel • N. Pröllochs
A fused large language model for predicting startup success.
European Journal of Operational Research 322.1. Apr. 2025. DOI

[1641]

L. Nas • B. F. Hoppe • A. T. Stüber • S. Grosu • N. Fink • A. von Fragstein • J. Rudolph • J. Ricke • B. O. Sabel
Optimizing lower extremity CT angiography: A prospective study of individualized vs. fixed post-trigger delays in bolus tracking.
European Journal of Radiology 185.112009. Apr. 2025. DOI

[1640]

G. Kutyniok
How Can Reliability of Artificial Intelligence Be Ensured?
Harvard Data Science Review 7.2. Apr. 2025. DOI

[1639]

W. Qi • X. Xu • K. Qian • B. W. Schuller • G. Fortino • A. Aliverti
A Review of AIoT-Based Human Activity Recognition: From Application to Technique.
IEEE Journal of Biomedical and Health Informatics 29.4. Apr. 2025. DOI

[1638]

X. Qiu • W. Qiu • Y. Zhang • K. Qian • C. Li • B. Hu • B. W. Schuller • Y. Yamamoto
FedKDC: Consensus-Driven Knowledge Distillation for Personalized Federated Learning in EEG-Based Emotion Recognition.
IEEE Journal of Biomedical and Health Informatics Early Access. Apr. 2025. DOI GitHub

[1637]

Y. Bi • Y. Su • N. Navab • Z. Jiang
Gaze-Guided Robotic Vascular Ultrasound Leveraging Human Intention Estimation.
IEEE Robotics and Automation Letters 10.4. Apr. 2025. DOI

[1636]

J. Huang • P. K. Yu • N. Navab • B. Busam
TTAPose: Test-time Adaptation for Unseen Object Pose Estimation.
IEEE Robotics and Automation Letters 10.6. Apr. 2025. DOI

[1635]

L. Christ • S. Amiriparian • A. Kathan • N. Müller • A. König • B. W. Schuller
Towards Multimodal Prediction of Spontaneous Humor: A Novel Dataset and First Results.
IEEE Transactions on Affective Computing 16.2. Apr. 2025. DOI

[1634]

L. Shen • H. Zhang • C. Zhu • R. Li • K. Qian • F. Tian • B. Hu • B. W. Schuller • Y. Yamamoto
Enhancing Emotion Regulation in Mental Disorder Treatment: An AIGC-based Closed-Loop Music Intervention System.
IEEE Transactions on Affective Computing Early Access. Apr. 2025. DOI

[1633]

A.-M. Rickmann • F. Bongratz • C. Wachinger
Vertex Correspondence and Self-Intersection Reduction in Cortical Surface Reconstruction.
IEEE Transactions on Medical Imaging Early Access. Apr. 2025. DOI

[1632]

Z. Li • Z. Wang • X. Xu • Y. Chen • B. W. Schuller
Unsupervised Domain-Adaptive Semantic Segmentation for Surgical Instruments Leveraging Dropout-Enhanced Dual Heads and Coarse-Grained Classification Branch.
IEEE Transactions on Medical Robotics and Bionics Early Access. Apr. 2025. DOI

[1631]

L. Zhu • R. Wang • X. Jin • Y. Li • F. Tian • R. Cai • K. Qian • X. Hu • B. Hu • Y. Yamamoto • B. W. Schuller
Explainable Depression Classification Based on EEG Feature Selection from Audio Stimuli.
IEEE Transactions on Neural Systems and Rehabilitation Engineering Early Access. Apr. 2025. DOI

[1630]

M. Fischer • P. Neher • P. J. Schüffler • S. Ziegler • S. Xiao • R. Peretzke • D. Clunie • C. Ulrich • M. Baumgartner • A. Muckenhuber • S. Dias Almeida • M. Götz • J. Kleesiek • M. Nolden • R. Braren • K. Maier-Hein
Unlocking the potential of digital pathology: Novel baselines for compression.
Journal of Pathology Informatics 17.100421. Apr. 2025. DOI

[1629]

Ö. Turgut • P. Müller • P. Hager • S. Shit • S. Starck • M. J. Menten • E. Martens • D. Rückert
Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging.
Medical Image Analysis 101.103451. Apr. 2025. DOI GitHub

[1628]

A. Bitarafan • M. Mozafari • M. F. Azampour • M. S. Baghshah • N. Navab • A. Farshad
Self-supervised 3D medical image segmentation by flow-guided mask propagation learning.
Medical Image Analysis 101.103478. Apr. 2025. DOI GitHub

[1627]

L. von der Heyde • A.-C. Haensch • A. Wenz
Vox Populi, Vox AI? Using Language Models to Estimate German Public Opinion.
Social Science Computer Review Online First. Apr. 2025. DOI

[1626]

A. Modarressi • A. Köksal • A. Imani • M. Fayyaz • H. Schütze
MemLLM: Finetuning LLMs to Use Explicit Read-Write Memory.
Transactions on Machine Learning Research. Apr. 2025. URL GitHub

[1625]

N. Santhanam • H. E. Kim • D. Rügamer • A. Bender • S. Muthers • C. G. Cho • A. Alonso • K. Szabo • F.-S. Centner • H. Wenz • T. Ganslandt • M. Platten • C. Groden • M. Neumaier • F. Siegel • M. E. Maros
Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data.
npj Digital Medicine 8.225. Apr. 2025. DOI

[1624]

C. Bülte • Y. Sale • T. Löhr • P. Hofman • G. Kutyniok • E. Hüllermeier
An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression.
Preprint (Apr. 2025). arXiv

[1623]

Y. Burkhardt • S. Schaefer • S. Leutenegger
SuperEvent: Cross-Modal Learning of Event-based Keypoint Detection.
Preprint (Apr. 2025). arXiv GitHub

[1622]

L. Fichtel • M. Spliethöver • E. Hüllermeier • P. Jimenez • N. Klowait • S. Kopp • A.-C. N. Ngomo • A. Robrecht • I. Scharlau • L. Terfloth • A.-L. Vollmer • H. Wachsmuth
Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues.
Preprint (Apr. 2025). arXiv

[1621]

D. Kotovenko • O. Grebenkova • B. Ommer
EDGS: Eliminating Densification for Efficient Convergence of 3DGS.
Preprint (Apr. 2025). arXiv

[1620]

D. Martens • G. Shmueli • T. Evgeniou • K. Bauer • C. Janiesch • S. Feuerriegel • S. Gabel • S. Goethals • T. Greene • N. Klein • M. Kraus • N. Kühl • C. Perlich • W. Verbeke • A. Zharova • P. Zschech • F. Provost
Beware of 'Explanations' of AI.
Preprint (Apr. 2025). arXiv

[1619]

P. Mondorf • S. Zhou • M. Riedler • B. Plank
Enabling Systematic Generalization in Abstract Spatial Reasoning through Meta-Learning for Compositionality.
Preprint (Apr. 2025). arXiv

[1618]

M. Pach • S. Karthik • Q. Bouniot • S. Belongie • Z. Akata
Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models.
Preprint (Apr. 2025). arXiv

[1617]

N. Röhrich • A. Hoffmann • R. Nordsieck • E. Zarbali • A. Javanmardi
Masked Autoencoder Self Pre-Training for Defect Detection in Microelectronics.
Preprint (Apr. 2025). arXiv

[1616]

L. Sang • Z. Canfes • D. Cao • R. Marin • F. Bernard • D. Cremers
TwoSquared: 4D Generation from 2D Image Pairs.
Preprint (Apr. 2025). arXiv

[1615]

C. Sauer • F. J. D. Lange • M. Thurow • I. Dormuth • A.-L. Boulesteix
Statistical parametric simulation studies based on real data.
Preprint (Apr. 2025). arXiv

[1614]

M. Scherbela • N. Gao • P. Grohs • S. Günnemann
Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems.
Preprint (Apr. 2025). arXiv

[1613]

F. Weindel • R. Heckel
LLM-Guided Search for Deletion-Correcting Codes.
Preprint (Apr. 2025). arXiv

[1612]

W. Yuan • Q. Khan • V. Golkov
Generation of Musical Timbres using a Text-Guided Diffusion Model.
Preprint (Apr. 2025). arXiv GitHub

[1611]

Y.-J. Li • M. Gladkova • Y. Xia • R. Wang • D. Cremers
VXP: Voxel-Cross-Pixel Large-Scale Camera-LiDAR Place Recognition.
3DV 2025 - 12th International Conference on 3D Vision. Singapore, Mar 25-28, 2025. DOI

[1610]

J. Seidenschwarz • Q. Zhou • B. Duisterhof • D. Ramanan • L. Leal-Taixé
DynOMo: Online Point Tracking by Dynamic Online Monocular Gaussian Reconstruction.
3DV 2025 - 12th International Conference on 3D Vision. Singapore, Mar 25-28, 2025. DOI

[1609]

H. Zeng • M. Gao • D. Cremers
CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences.
3DV 2025 - 12th International Conference on 3D Vision. Singapore, Mar 25-28, 2025. DOI

[1608]

G. Zhai • E. P. Örnek • D. Z. Chen • R. Liao • Y. Di • N. Navab • F. Tombari • B. Busam
EchoScene: Indoor Scene Generation via Information Echo over Scene Graph Diffusion.
Nectar Track @3DV 2025 - Nectar Track at the 12th International Conference on 3D Vision. Singapore, Mar 25-28, 2025. arXiv

[1607]

L. Bothmann • S. Dandl • J. M. Alvarez • P. A. Boustani • B. Bischl
Privilege Scores for Fairness-Aware ML.
DAGStat 2025 - 7th Joint Statistical Meeting of the Deutsche Arbeitsgemeinschaft Statistik. Berlin, Germany, Mar 24-28, 2025. Poster presentation. Full paper available. arXiv

[1606]

L. Zumeta-Olaskoaga • A. Bender • D.-J. Lee
Flexible modelling of time-varying exposures in event history analysis.
DAGStat 2025 - 7th Joint Statistical Meeting of the Deutsche Arbeitsgemeinschaft Statistik. Berlin, Germany, Mar 24-28, 2025. Poster presentation. Full paper available. DOI

[1605]

Y. Shen
Probabilistic Modeling and Uncertainty Awareness in Deep learning.
Dissertation TU München. Mar. 2025. URL

[1604]

S. Okabe • A. Fraser
Bilingual Sentence Mining for Low-Resource Languages: a Case Study on Upper and Lower Sorbian.
Compute-EL @ICLDC 2025 - 8th Workshop on The Use of Computational Methods in the Study of Endangered Languages at the 9th International Conference on Language Documentation and Conservation. Honolulu, Hawaii, USA, Mar 06-06, 2025. URL

[1603]

P. T. da Silva • A. Karollus • J. Hingerl • G. Galindez • N. Wagner • X. Hernandez-Alias • D. Incarnato • J. Gagneur
Nucleotide dependency analysis of DNA language models reveals genomic functional elements.
CSHL 2025 - 5th Cold Spring Harbor conference on Probabilistic Modeling in Genomics. Cold Spring Harbor Laboratory, New York, USA, Mar 05-08, 2025. DOI URL

[1602]

Z. Yuan • Z. Xiong • L. Mou • X. Zhu
ChatEarthNet: a global-scale image–text dataset empowering vision–language geo-foundation models.
Earth System Science Data 17.3. Mar. 2025. DOI

[1601]

F. Krahmer • A. Veselovska
The mathematics of dots and pixels: On the theoretical foundations of image halftoning.
GAMM Mitteilungen 48.1. Mar. 2025. DOI

[1600]

S. Garske • K. Heidler • B. Evans • K. Wong • X. Zhu
SHAZAM: Self-Supervised Change Monitoring for Hazard Detection and Mapping.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Early Access. Mar. 2025. DOI GitHub

[1599]

J. Xie • Y. Wang • X. Qian • J. Zhang • B. W. Schuller
Improving Bird Vocalization Recognition in Open-Set Cross-Corpus Scenarios with Semantic Feature Reconstruction and Dual Strategy Scoring.
IEEE Signal Processing Letters 32. Mar. 2025. DOI

[1598]

C. Liu • C. M. Albrecht • Y. Wang • X. Zhu
CromSS: Cross-Modal Pretraining With Noisy Labels for Remote Sensing Image Segmentation.
IEEE Transactions on Geoscience and Remote Sensing 63. Mar. 2025. DOI GitHub

[1597]

M. Herold • J. S. Jehle • F. Krahmer • A. Veselovska
Non-intrusive surrogate modelling using sparse random features with applications in crashworthiness analysis.
International Journal for Uncertainty Quantification 15.4. Mar. 2025. DOI

[1596]

F. Li • Y. Bi • D. Huang • Z. Jiang • N. Navab
Robotic CBCT Meets Robotic Ultrasound.
International Journal of Computer Assisted Radiology and Surgery. Mar. 2025. DOI

[1595]

L. Zumeta-Olaskoaga • A. Bender • D.-J. Lee
Flexible modelling of time-varying exposures and recurrent events to analyse training load effects in team sports injuries.
Journal of the Royal Statistical Society. Series C (Applied Statistics) 74.2. Mar. 2025. DOI

[1594]

M. Schneble • G. Kauermann
Statistical modelling of on-street parking spot occupancy in smart cities.
Journal of the Royal Statistical Society. Series C (Applied Statistics).qlaf017. Mar. 2025. DOI

[1593]

A. Liebeskind • J. R. Schüre • M. S. Fabian • S. Weinmüller • P. Schünke • V. Golkov • D. Cremers • M. Zaiss
The Pulseq-CEST Library: definition of preparations and simulations, example data, and example evaluations.
Magnetic Resonance Materials in Physics, Biology and Medicine. Mar. 2025. DOI

[1592]

A. Tejada-Lapuerta • P. Bertin • S. Bauer • H. Aliee • Y. Bengio • F. J. Theis
Causal machine learning for single-cell genomics.
Nature Genetics. Mar. 2025. DOI

[1591]

M. E. Consens • C. Dufault • M. Wainberg • D. Forster • M. Karimzadeh • H. Goodarzi • F. J. Theis • A. Moses • B. Wang
Transformers and genome language models.
Nature Machine Intelligence. Mar. 2025. DOI

[1590]

D. Bär • N. Pröllochs • S. Feuerriegel
The role of social media ads for election outcomes: Evidence from the 2021 German election.
PNAS Nexus.pgaf073. Mar. 2025. DOI

[1589]

Q. Xu • Y. Shi • J. Zhao • X. Zhu
FloodCastBench: A Large-Scale Dataset and Foundation Models for Flood Modeling and Forecasting.
Scientific Data 12.431. Mar. 2025. DOI

[1588]

R. Hornung • M. Nalenz • L. Schneider • A. Bender • L. Bothmann • F. Dumpert • B. Bischl • T. Augustin • A.-L. Boulesteix
Evaluating Machine Learning Models in Non-Standard Settings: An Overview and New Findings.
Statistical Science. Mar. 2025. To be published. Preprint available. arXiv URL

[1587]

C. Bülte • P. Scholl • G. Kutyniok
Probabilistic neural operators for functional uncertainty quantification.
Transactions on Machine Learning Research. Mar. 2025. URL

[1586]

K. Schwethelm • J. Kaiser • M. Knolle • S. Lockfisch • D. Rückert • A. Ziller
Visual Privacy Auditing with Diffusion Models.
Transactions on Machine Learning Research. Mar. 2025. URL

[1585]

P. Bertin • J. D. Viviano • A. Tejada-Lapuerta • W. Wang • S. Bauer • F. J. Theis • Y. Bengio
A scalable gene network model of regulatory dynamics in single cells.
Preprint (Mar. 2025). arXiv

[1584]

C. Damke • E. Hüllermeier
Adjusted Count Quantification Learning on Graphs.
Preprint (Mar. 2025). arXiv

[1583]

A. Fono • M. Singh • E. Araya • P. C. Petersen • H. Boche • G. Kutyniok
Sustainable AI: Mathematical Foundations of Spiking Neural Networks.
Preprint (Mar. 2025). arXiv

[1582]

L. Girrbach • S. Alaniz • G. Smith • Z. Akata
A Large Scale Analysis of Gender Biases in Text-to-Image Generative Models.
Preprint (Mar. 2025). arXiv

[1581]

F. J. D. Lange • J. C. Wilcke • S. Hoffmann • M. Herrmann • A.-L. Boulesteix
On 'confirmatory' methodological research in statistics and related fields.
Preprint (Mar. 2025). arXiv

[1580]

J. Li • C. Liu • W. Bai • R. Arcucci • C. I. Bercea • J. A. Schnabel
Enhancing Abnormality Grounding for Vision Language Models with Knowledge Descriptions.
Preprint (Mar. 2025). arXiv GitHub

[1579]

Y. Li • M. Milling • B. W. Schuller
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning.
Preprint (Mar. 2025). arXiv

[1578]

Y. Li • Q. Sun • S. M. K. Murthy • E. Alturki • B. W. Schuller
GatedxLSTM: A Multimodal Affective Computing Approach for Emotion Recognition in Conversations.
Preprint (Mar. 2025). arXiv

[1577]

M. M. Mandl • F. Weber • T. Wöhrle • A.-L. Boulesteix
The impact of the storytelling fallacy on real data examples in methodological research.
Preprint (Mar. 2025). arXiv

[1576]

M. L. Mostafa • A. Alperovich • D. Fedotov • G. Ghazaei • S. Saur • A. Farshad • N. Navab
Surgical Flow Masked Autoencoder for Event Recognition.
Preprint (Mar. 2025). PDF

[1575]

I. Obadic • D. Kangin • D. Oliveira • P. Angelov • X. Zhu
i-WiViG: Interpretable Window Vision GNN.
Preprint (Mar. 2025). arXiv

[1574]

R. Rehms • N. Ellenbach • V. Deffner • S. Hoffmann
Addressing complex structures of measurement error arising in the exposure assessment in occupational epidemiology using a Bayesian hierarchical approach.
Preprint (Mar. 2025). arXiv

[1573]

A. Scagliotti • F. Scagliotti • L. Locati • F. Sottotetti
Ensemble optimal control for managing drug resistance in cancer therapies.
Preprint (Mar. 2025). arXiv

[1572]

H. Shang • H. Wu • G. Zhai • B. Sun • F. Wang • F. Tombari • M. Pollefeys
SG-Tailor: Inter-Object Commonsense Relationship Reasoning for Scene Graph Manipulation.
Preprint (Mar. 2025). arXiv

[1571]

H. Shi • M. Drton
On universal inference in Gaussian mixture models.
Preprint (Mar. 2025). arXiv

[1570]

Z. Shi • X. Zhang • Y. Xia • Y. Zang • S. Shen • C. Wang
L2RSI: Cross-view LiDAR-based Place Recognition for Large-scale Urban Scenes via Remote Sensing Imagery.
Preprint (Mar. 2025). arXiv GitHub

[1569]

S. Si • X. Wang • G. Zhai • N. Navab • B. Plank
Think Before Refusal : Triggering Safety Reflection in LLMs to Mitigate False Refusal Behavior.
Preprint (Mar. 2025). arXiv

[1568]

P. Spitzer • D. Hendriks • J. Rudolph • S. Schläger • J. Ricke • N. Kühl • B. F. Hoppe • S. Feuerriegel
The effect of medical explanations from large language models on diagnostic decisions in radiology.
Preprint (Mar. 2025). DOI

[1567]

P. Stangel • D. Bani-Harouni • C. Pellegrini • E. Özsoy • K. Zaripova • M. Keicher • N. Navab
Rewarding Doubt: A Reinforcement Learning Approach to Confidence Calibration of Large Language Models.
Preprint (Mar. 2025). arXiv

[1566]

N. P. A. Vu • A. Saroha • O. Litany • D. Cremers
GAS-NeRF: Geometry-Aware Stylization of Dynamic Radiance Fields.
Preprint (Mar. 2025). arXiv

[1565]

A. Weers • A. H. Berger • L. Lux • P. J. Schüffler • D. Rückert • J. C. Paetzold
From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image Analysis.
Preprint (Mar. 2025). arXiv GitHub

[1564]

A. Wuttke • M. Aßenmacher • C. Klamm • M. Lang • Q. Würschinger • F. Kreuter
AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers.
Preprint (Mar. 2025). arXiv

[1563]

R. Amoroso • G. Zhang • R. Koner • L. Baraldi • R. Cucchiara • V. Tresp
Perceive, Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries.
WACV 2025 - IEEE/CVF Winter Conference on Applications of Computer Vision. Tucson, AZ, USA, Feb 28-Mar 04, 2025. DOI

[1562]

A. H. Berger • L. Lux • S. Shit • I. Ezhov • G. Kaissis • M. J. Menten • D. Rückert • J. C. Paetzold
Cross-Domain and Cross-Dimension Learning for Image-to-Graph Transformers.
WACV 2025 - IEEE/CVF Winter Conference on Applications of Computer Vision. Tucson, AZ, USA, Feb 28-Mar 04, 2025. DOI

[1561]

S. Chen • Z. Han • B. He • J. Liu • M. Buckley • Y. Qin • P. Torr • V. Tresp • J. Gu
Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?
WACV 2025 - IEEE/CVF Winter Conference on Applications of Computer Vision. Tucson, AZ, USA, Feb 28-Mar 04, 2025. DOI URL

[1560]

F. Fundel • J. Schusterbauer • V. T. Hu • B. Ommer
Distillation of Diffusion Features for Semantic Correspondence.
WACV 2025 - IEEE/CVF Winter Conference on Applications of Computer Vision. Tucson, AZ, USA, Feb 28-Mar 04, 2025. DOI

[1559]

Y. Li • M. Ghahremani • Y. Wally • C. Wachinger
DiaMond: Dementia Diagnosis with Multi-Modal Vision Transformers Using MRI and PET.
WACV 2025 - IEEE/CVF Winter Conference on Applications of Computer Vision. Tucson, AZ, USA, Feb 28-Mar 04, 2025. DOI

[1558]

O. Wysocki • Y. Tan • T. Froech • Y. Xia • M. Wysocki • L. Hoegner • D. Cremers • C. Holst
ZAHA: Introducing the Level of Facade Generalization and the Large-Scale Point Cloud Facade Semantic Segmentation Benchmark Dataset.
WACV 2025 - IEEE/CVF Winter Conference on Applications of Computer Vision. Tucson, AZ, USA, Feb 28-Mar 04, 2025. DOI GitHub

[1557]

Y. Zhang • H. Chen • A. Frikha • Y. Yang • D. Krompass • G. Zhang • J. Gu • V. Tresp
CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering.
WACV 2025 - IEEE/CVF Winter Conference on Applications of Computer Vision. Tucson, AZ, USA, Feb 28-Mar 04, 2025. DOI

[1556]

F. Hofherr • B. Haefner • D. Cremers
On Neural BRDFs: A Thorough Comparison of State-of-the-Art Approaches.
WACV 2025 - IEEE/CVF Winter Conference on Applications of Computer Vision. Tucson, AZ, USA, Feb 28-Mar 04, 2025. Oral Presentation. DOI

[1555]

S. Gilhuber
Advances in deep active learning and synergies with semi-supervision.
Dissertation LMU München. Feb. 2025. DOI

[1554]

H. Chen • D. Krompass • J. Gu • V. Tresp
FedPop: Federated Population-based Hyperparameter Tuning.
AAAI 2025 - 39th Conference on Artificial Intelligence. Philadelphia, PA, USA, Feb 25-Mar 04, 2025. DOI

[1553]

A. Davtyan • S. Sameni • B. Ommer • P. Favaro
CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation.
AAAI 2025 - 39th Conference on Artificial Intelligence. Philadelphia, PA, USA, Feb 25-Mar 04, 2025. DOI GitHub

[1552]

X. Feng • Z. Jiang • T. Kaufmann • P. Xu • E. Hüllermeier • P. Weng • Y. Zhu
DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning from Human Feedback.
AAAI 2025 - 39th Conference on Artificial Intelligence. Philadelphia, PA, USA, Feb 25-Mar 04, 2025. DOI

[1551]

J. Lan • D. Frassinelli • B. Plank
Mind the Uncertainty in Human Disagreement: Evaluating Discrepancies between Model Predictions and Human Responses in VQA.
AAAI 2025 - 39th Conference on Artificial Intelligence. Philadelphia, PA, USA, Feb 25-Mar 04, 2025. DOI

[1550]

Z. Li • S. S. Cranganore • N. Youngblut • N. Kilbertus
Whole Genome Transformer for Gene Interaction Effects in Microbiome Habitat Specificity.
AAAI 2025 - 39th Conference on Artificial Intelligence. Philadelphia, PA, USA, Feb 25-Mar 04, 2025. DOI

[1549]

Y. Mu • M. Shahzad • X. Zhu
MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification.
AAAI 2025 - 39th Conference on Artificial Intelligence. Philadelphia, PA, USA, Feb 25-Mar 04, 2025. DOI

[1548]

Y. Shen • Z. Zhuang • K. Yuan • M.-I. Nicolae • N. Navab • N. Padoy • M. Fritz
Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment.
AAAI 2025 - 39th Conference on Artificial Intelligence. Philadelphia, PA, USA, Feb 25-Mar 04, 2025. DOI

[1547]

Y. Zhang • Z. Ma • Y. Ma • Z. Han • Y. Wu • V. Tresp
WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration.
AAAI 2025 - 39th Conference on Artificial Intelligence. Philadelphia, PA, USA, Feb 25-Mar 04, 2025. DOI

[1546]

P. Ma • L. Rietdorf • D. Kotovenko • V. T. Hu • B. Ommer
Does VLM Classification Benefit from LLM Description Semantics?
AAAI 2025 - 39th Conference on Artificial Intelligence. Philadelphia, PA, USA, Feb 25-Mar 04, 2025. Invited talk. DOI

[1545]

M. Gui • J. Schusterbauer • U. Prestel • P. Ma • D. Kotovenko • O. Grebenkova • S. A. Baumann • V. T. Hu • B. Ommer
DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching.
AAAI 2025 - 39th Conference on Artificial Intelligence. Philadelphia, PA, USA, Feb 25-Mar 04, 2025. Oral Presentation. DOI

[1544]

K. Geißler • T. L. Koller • A. Ambroladze • E. M. Fallenberg • M. Ingrisch • H. K. Hahn
Breast cancer risk prediction using background parenchymal enhancement, radiomics, and symmetry features on MRI.
SPIE 2025 - SPIE Medical Imaging: Computer-Aided Diagnosis. San Diego, CA, USA, Feb 16-21, 2025. DOI

[1543]

T. L. Koller • K. Geißler • A. Ambroladze • E. M. Fallenberg • M. Ingrisch • H. Amer • P. Seeböck • G. Langs • H. K. Hahn
Pitfalls with anomaly detection for breast cancer risk prediction.
SPIE 2025 - SPIE Medical Imaging: Computer-Aided Diagnosis. San Diego, CA, USA, Feb 16-21, 2025. DOI

[1542]

L. Burk • A. Bender • M. N. Wright
High-Dimensional Variable Selection With Competing Events Using Cooperative Penalized Regression.
Biometrical Journal 67.1. Feb. 2025. DOI

[1541]

M. Wünsch • C. Sauer • M. Herrmann • L. C. Hinske • A.-L. Boulesteix
To tweak or not to tweak. How exploiting flexibilities in gene set analysis leads to over-optimism.
Biometrical Journal 67.1. Feb. 2025. DOI

[1540]

M. Fornasier • L. Sun
A PDE Framework of Consensus-Based Optimization for Objectives with Multiple Global Minimizers.
Communications in Partial Differential Equations 50.4. Feb. 2025. DOI

[1539]

D. Tschernutter • S. Feuerriegel
Data-driven dynamic police patrolling: An efficient Monte Carlo tree search.
European Journal of Operational Research 321.1. Feb. 2025. DOI

[1538]

A. T. Stüber • M. M. Heimer • J. Ta • M. P. Fabritius • B. F. Hoppe • G. Sheikh • M. Brendel • L. Unterrainer • P. Jurmeister • A. Tufman • J. Ricke • C. C. Cyran • M. Ingrisch
Replication study of PD-L1 status prediction in NSCLC using PET/CT radiomics.
European Journal of Radiology 183.111825. Feb. 2025. DOI

[1537]

Z. Sun • J. Kang • K. Qian • B. W. Schuller • B. Hu
Creating Healthier Living Environments: The Role of Soundscapes in Promoting Mental Health and Well-Being.
IEEE Transactions on Computational Social Systems 12.1. Feb. 2025. DOI

[1536]

M. Ghahremani • B. R. Ernhofer • J. Wang • M. Makowski • C. Wachinger
Organ-DETR: Organ Detection via Transformers.
IEEE Transactions on Medical Imaging Early Access. Feb. 2025. DOI URL

[1535]

D. Huang • C. Li • A. Karlas • X. Chu • K. W. S. Au • N. Navab • Z. Jiang
VibNet: Vibration-Boosted Needle Detection in Ultrasound Images.
IEEE Transactions on Medical Imaging Early Access. Feb. 2025. DOI GitHub

[1534]

X.-Y. Tong • R. Dong • X. Zhu
Global high categorical resolution land cover mapping via weak supervision.
ISPRS Journal of Photogrammetry and Remote Sensing 220. Feb. 2025. DOI GitHub

[1533]

J. Hanselle • S. Heid • J. Fürnkranz • E. Hüllermeier
Probabilistic scoring lists for interpretable machine learning.
Machine Learning 114.55. Feb. 2025. DOI

[1532]

T. Willem • V. A. Shitov • M. D. Luecken • N. Kilbertus • S. Bauer • M. Piraud • A. Buyx • F. J. Theis
Biases in machine-learning models of human single-cell data.
Nature Cell Biology. Feb. 2025. DOI

[1531]

C. I. Bercea • B. Wiestler • D. Rückert • J. A. Schnabel
Evaluating normative representation learning in generative AI for robust anomaly detection in brain imaging.
Nature Communications 16.1624. Feb. 2025. DOI GitHub

[1530]

S. Feuerriegel • A. Maarouf • D. Bär • D. Geißler • J. Schweisthal • N. Pröllochs • C. E. Robertson • S. Rathje • J. Hartmann • S. M. Mohammad • O. Netzer • A. A. Siegel • B. Plank • J. J. Van Bavel
Using natural language processing to analyse text data in behavioural science.
Nature Reviews Psychology 4. Feb. 2025. DOI

[1529]

M. Drton • A. Grosdos • I. Portakal • N. Sturma
Algebraic Sparse Factor Analysis.
SIAM Journal on Applied Algebra and Geometry 9. Feb. 2025. DOI

[1528]

E. Ailer • C. L. Müller • N. Kilbertus
Instrumental variable estimation for compositional treatments.
Scientific Reports 15.5158. Feb. 2025. DOI

[1527]

V. Steidl • J. L. Bamber • X. Zhu
Physics-aware machine learning for glacier ice thickness estimation: a case study for Svalbard.
The Cryosphere 19.2. Feb. 2025. DOI

[1526]

V. Iwuajoku • K. Ekici • A. Haas • M. Z. Kazemi • A. Kasajima • C. Delbridge • A. Muckenhuber • E. Schmoeckel • F. Stögbauer • C. Bollwein • K. Schwamborn • K. Steiger • C. Mogler • P. J. Schüffler
An equivalency and efficiency study for one year digital pathology for clinical routine diagnostics in an accredited tertiary academic center.
Virchows Archiv. Feb. 2025. DOI

[1525]

E. Banzato • M. Drton • K. Saraf-Poor • H. Shi
Existence of Direct Density Ratio Estimators.
Preprint (Feb. 2025). arXiv

[1524]

H. Bao • M. Schomaker
Addressing Positivity Violations in Continuous Interventions through Data-Adaptive Strategies.
Preprint (Feb. 2025). arXiv

[1523]

J. Bi • Y. Wang • D. Yan • X. Xiao • A. Hecker • V. Tresp • Y. Ma
PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data Selection.
Preprint (Feb. 2025). arXiv

[1522]

F. Bongratz • J. Fecht • A.-M. Rickmann • C. Wachinger
V2C-Long: Longitudinal Cortex Reconstruction with Spatiotemporal Correspondence.
Preprint (Feb. 2025). arXiv

[1521]

F. P. Delgado • F. Simões • L. Kronik • W. Kaiser • D. A. Egger
Machine-Learning Force Fields Reveal Shallow Electronic States on Dynamic Halide Perovskite Surfaces.
Preprint (Feb. 2025). arXiv

[1520]

S. Dirksen • W. Li • J. Maly
Subspace and DOA estimation under coarse quantization.
Preprint (Feb. 2025). arXiv

[1519]

B. D. Earp • S. P. Mann • M. Aboy • E. Awad • M. Betzler • M. Botes • R. Calcott • M. Caraccio • N. Chater • M. Coeckelbergh • M. Constantinescu • H. Dabbagh • K. Devlin • X. Ding • V. Dranseika • J. A. C. Everett • R. Fan • F. Feroz • K. B. Francis • C. Friedman • O. Friedrich • I. Gabriel • I. Hannikainen • J. Hellmann • A. K. Jahrome • N. S. Janardhanan • P. Jurcys • A. Kappes • M. A. Khan • G. Kraft-Todd • M. Kroner Dale • S. M. Laham • B. Lange • M. Leuenberger • J. Lewis • P. Liu • D. M. Lyreskog • M. Maas • J. McMillan • E. Mihailov • T. Minssen • J. Teperowski Monrad • K. Muyskens • S. Myers • S. Nyholm • A. M. Owen • A. Puzio • C. Register • M. G. Reinecke • A. Safron • H. Shevlin • H. Shimizu • P. V. Treit • C. Voinea • K. Yan • A. Zahiu • R. Zhang • H. Zohny • W. Sinnott-Armstrong • I. Singh • J. Savulescu • M. S. Clark
Relational Norms for Human-AI Cooperation.
Preprint (Feb. 2025). arXiv

[1518]

M. Fornasier • L. Sun
Regularity and positivity of solutions of the Consensus-Based Optimization equation: unconditional global convergence.
Preprint (Feb. 2025). arXiv

[1517]

T. Fröch • O. Wysocki • Y. Xia • J. Xie • B. Schwab • D. Cremers • T. H. Kolbe
FacaDiffy: Inpainting Unseen Facade Parts Using Diffusion Models.
Preprint (Feb. 2025). arXiv GitHub

[1516]

M. Fuest • V. T. Hu • B. Ommer
MaskFlow: Discrete Flows For Flexible and Efficient Long Video Generation.
Preprint (Feb. 2025). arXiv

[1515]

H. Funk • R. Ludwig • H. Küchenhoff • T. Nagler
Modelling Climate Variables at High Temporal Resolution.
Preprint (Feb. 2025). DOI

[1514]

K. Heß • D. Frauen • V. Melnychuk • S. Feuerriegel
Efficient and Sharp Off-Policy Learning under Unobserved Confounding.
Preprint (Feb. 2025). arXiv

[1513]

M. Jürgens • T. Mortier • E. Hüllermeier • V. Bengs • W. Waegeman
A calibration test for evaluating set-based epistemic uncertainty representations.
Preprint (Feb. 2025). arXiv

[1512]

H. Laus • S. Parkinson • V. Charisopoulos • F. Krahmer • R. Willett
Solving Inverse Problems with Deep Linear Neural Networks: Global Convergence Guarantees for Gradient Descent with Weight Decay.
Preprint (Feb. 2025). arXiv

[1511]

V. Melnychuk • D. Frauen • J. Schweisthal • S. Feuerriegel
Orthogonal Representation Learning for Estimating Causal Quantities.
Preprint (Feb. 2025). arXiv

[1510]

K. Padh • Z. Li • C. Casolo • N. Kilbertus
Your Assumed DAG is Wrong and Here's How To Deal With It.
Preprint (Feb. 2025). arXiv

[1509]

G. D. Pelegrina • P. Kolpaczki • E. Hüllermeier
Shapley Value Approximation Based on k-Additive Games.
Preprint (Feb. 2025). arXiv

[1508]

Z. Peng • X. Yin • R. Qian • P. Lin • Y. Liu • H. Zhang • C. Ying • Y. Luo
SolEval: Benchmarking Large Language Models for Repository-level Solidity Code Generation.
Preprint (Feb. 2025). arXiv GitHub

[1507]

D. Racek • Q. Zhang • P. Thurner • X. Zhu • G. Kauermann
Unsupervised Detection of Building Destruction during War from Publicly Available Radar Satellite Imagery.
Preprint (Feb. 2025). DOI

[1506]

K. Reichard • G. Rizzoli • S. Gasperini • L. Hoyer • P. Zanuttigh • N. Navab • F. Tombari
From Open-Vocabulary to Vocabulary-Free Semantic Segmentation.
Preprint (Feb. 2025). arXiv

[1505]

J. Rodemann • E. Garces Arias • C. Luther • C. Jansen • T. Augustin
A Statistical Case Against Empirical Human-AI Alignment.
Preprint (Feb. 2025). arXiv

[1504]

Y. Shen • W. Lai • S. Wang • X. Zhang • K. Luo • A. Fraser • M. Sun
DCAD-2000: A Multilingual Dataset across 2000+ Languages with Data Cleaning as Anomaly Detection.
Preprint (Feb. 2025). arXiv

[1503]

N. Sturma • M. Kranzlmueller • I. Portakal • M. Drton
Matching Criterion for Identifiability in Sparse Factor Analysis.
Preprint (Feb. 2025). arXiv

[1502]

M. Surner • A. Khelil • L. Bothmann
Invariance Pair-Guided Learning: Enhancing Robustness in Neural Networks.
Preprint (Feb. 2025). arXiv

[1501]

Ö. Turgut • F. S. Bott • M. Ploner • D. Rückert
Are foundation models useful feature extractors for electroencephalography analysis?
Preprint (Feb. 2025). arXiv

[1500]

M. Wang • A. Stoll • L. Lange • H. Adel • H. Schütze • J. Strötgen
Bring Your Own Knowledge: A Survey of Methods for LLM Knowledge Expansion.
Preprint (Feb. 2025). arXiv

[1499]

C. Wu • B. Ma • N. Deng • Y. He • Y. Xue
Multi-Scale and Multi-Objective Optimization for Cross-Lingual Aspect-Based Sentiment Analysis.
Preprint (Feb. 2025). arXiv

[1498]

S. Wu • S. Alaniz • E. Schulz • Z. Akata
Discovering Chunks in Neural Embeddings for Interpretability.
Preprint (Feb. 2025). arXiv

[1497]

S. Xu • T. Y. S. S. Santosh • Y. Elazar • Q. Vogel • B. Plank • M. Grabmair
Better Aligned with Survey Respondents or Training Data? Unveiling Political Leanings of LLMs on U.S. Supreme Court Cases.
Preprint (Feb. 2025). arXiv

[1496]

J. Yu • Y. Zhang • B. Wang • P. Lin • Y. Liu • S. Feng
SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model.
Preprint (Feb. 2025). arXiv GitHub

[1495]

A. Zavras • D. Michail • X. Zhu • B. Demir • I. Papoutsis
GAIA: A Global, Multi-modal, Multi-scale Vision-Language Dataset for Remote Sensing Image Analysis.
Preprint (Feb. 2025). arXiv

[1494]

G. Zhang • M. Ding • T. Liu • Y. Zhang • V. Tresp
Memory Helps, but Confabulation Misleads: Understanding Streaming Events in Videos with MLLMs.
Preprint (Feb. 2025). arXiv

[1493]

M. Fornasier • J. Klemenc • A. Scagliotti
Trade-off Invariance Principle for minimizers of regularized functionals.
Math4AiMl 2025 - 3rd Workshop of UMI Group Mathematics for Artificial Intelligence and Machine Learning. Bari, Italy, Jan 29-31, 2025. arXiv PDF

[1492]

S. Gasperini
Strategies Towards Reliable Scene Understanding for Autonomous Driving.
Dissertation TU München. Jan. 2025. URL

[1491]

E. Garces Arias • M. Li • C. Heumann • M. Aßenmacher
Decoding Decoded: Understanding Hyperparameter Effects in Open-Ended Text Generation.
COLING 2025 - The 31st International Conference on Computational Linguistics. Abu Dhabi, United Arab Emirates, Jan 19-24, 2025. URL

[1490]

R. Litschko • O. Kraus • V. Blaschke • B. Plank
Cross-Dialect Information Retrieval: Information Access in Low-Resource and High-Variance Languages.
COLING 2025 - The 31st International Conference on Computational Linguistics. Abu Dhabi, United Arab Emirates, Jan 19-24, 2025. URL

[1489]

Y. Liu • C. Ma • H. Ye • H. Schütze
TransMI: A Framework to Create Strong Baselines from Multilingual Pretrained Language Models for Transliterated Data.
COLING 2025 - The 31st International Conference on Computational Linguistics. Abu Dhabi, United Arab Emirates, Jan 19-24, 2025. URL GitHub

[1488]

Y. Liu • M. Wang • A. H. Kargaran • A. Imani • O. Xhelili • H. Ye • C. Ma • F. Yvon • H. Schütze
How Transliterations Improve Crosslingual Alignment.
COLING 2025 - The 31st International Conference on Computational Linguistics. Abu Dhabi, United Arab Emirates, Jan 19-24, 2025. URL

[1487]

A. Muñoz-Ortiz • V. Blaschke • B. Plank
Evaluating Pixel Language Models on Non-Standardized Languages.
COLING 2025 - The 31st International Conference on Computational Linguistics. Abu Dhabi, United Arab Emirates, Jan 19-24, 2025. URL

[1486]

Y. Zhang • V. Hangya • A. Fraser
LLM Sensitivity Challenges in Abusive Language Detection: Instruction-Tuned vs. Human Feedback.
COLING 2025 - The 31st International Conference on Computational Linguistics. Abu Dhabi, United Arab Emirates, Jan 19-24, 2025. URL

[1485]

V. Blaschke • F. Körner • B. Plank
Add Noise, Tasks, or Layers? MaiNLP at the VarDial 2025 Shared Task on Norwegian Dialectal Slot and Intent Detection.
VarDial @COLING 2025 - 12th Workshop on NLP for Similar Languages, Varieties and Dialects at the The 31st International Conference on Computational Linguistics. Abu Dhabi, United Arab Emirates, Jan 19-24, 2025. URL

[1484]

X. Krückl • V. Blaschke • B. Plank
Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case Study.
VarDial @COLING 2025 - 12th Workshop on NLP for Similar Languages, Varieties and Dialects at the The 31st International Conference on Computational Linguistics. Abu Dhabi, United Arab Emirates, Jan 19-24, 2025. URL

[1483]

A.-M. Lutgen • A. Plum • C. Purschke • B. Plank
Neural Text Normalization for Luxembourgish Using Real-Life Variation Data.
VarDial @COLING 2025 - 12th Workshop on NLP for Similar Languages, Varieties and Dialects at the The 31st International Conference on Computational Linguistics. Abu Dhabi, United Arab Emirates, Jan 19-24, 2025. URL

[1482]

K. Höhlein
Data-Driven Modeling and Analysis of Numerical Weather Predictions.
Dissertation TU München. Jan. 2025. URL

[1481]

A. Sanin • J. K. Flowers • T. H. Piotrowiak • F. Felsen • L. Merker • A. Ludwig • D. Bresser • H. S. Stein
Integrating Automated Electrochemistry and High-Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin-Film Lithium Battery Anodes.
Advanced Energy Materials 15.11. Jan. 2025. DOI

[1480]

M. Abrahamowicz • M.-E. Beauchamp • A.-L. Boulesteix • T. P. Morris • W. Sauerbrei • J. S. Kaufman • o. b. o. t. STRATOS Simulation Panel
Data-driven simulations to assess the impact of study imperfections in time-to-event analyses.
American Journal of Epidemiology 194.1. Jan. 2025. DOI

[1479]

F. Bortolussi • H. Sandström • F. Partovi • J. Mikkilä • P. Rinke • M. Rissanen
Technical note: Towards atmospheric compound identification in chemical ionization mass spectrometry with pesticide standards and machine learning.
Atmospheric Chemistry and Physics 25.1. Jan. 2025. DOI

[1478]

S. Grosu • M. P. Fabritius • M. Winkelmann • D. Puhr-Westerheide • M. Ingenerf • S. Maurus • A. Graser • C. Schulz • T. Knösel • C. C. Cyran • J. Ricke • P. M. Kazmierczak • M. Ingrisch • P. Wesp
Effect of artificial intelligence-aided differentiation of adenomatous and non-adenomatous colorectal polyps at CT colonography on radiologists’ therapy management.
European Radiology Early Access. Jan. 2025. DOI

[1477]

L. Bothmann • K. Peters
Fairness von KI – ein Brückenschlag zwischen Philosophie und Maschinellem Lernen.
Grenzen Künstlicher Intelligenz. Jan. 2025. DOI

[1476]

M. Milling • S. D. Rampp • A. Triantafyllopoulos • M. P. Plaza • J. O. Brunner • C. Traidl-Hoffmann • B. W. Schuller • A. Damialis
Automating airborne pollen classification: Identifying and interpreting hard samples for classifiers.
Heliyon 11.2. Jan. 2025. DOI GitHub

[1475]

F. Tian • H. Zhang • Y. Tan • L. Zhu • L. Shen • K. Qian • B. Hu • B. W. Schuller • Y. Yamamoto
An On-Board Executable Multi-Feature Transfer-Enhanced Fusion Model for Three-Lead EEG Sensor-Assisted Depression Diagnosis.
IEEE Journal of Biomedical and Health Informatics 29.1. Jan. 2025. DOI

[1474]

J. Beck • L. M. Kemeter • K. Dürrbeck • M. H. I. Abdalla • F. Kreuter
Toward Integrating ChatGPT Into Satellite Image Annotation Workflows: A Comparison of Label Quality and Costs of Human and Automated Annotators.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 18. Jan. 2025. DOI

[1473]

A. Akman • Q. Sun • B. W. Schuller
Improving Audio Explanations using Audio Language Models.
IEEE Signal Processing Letters Early Access. Jan. 2025. DOI

[1472]

Y. Sun • Y. Zhou • X. Xu • J. Qi • F. Xu • Z. Ren • B. W. Schuller
Weakly-Supervised Depression Detection in Speech Through Self-Learning Based Label Correction.
IEEE Transactions on Audio, Speech and Language Processing Early Access. Jan. 2025. DOI

[1471]

W. Huang • Z. Gu • Y. Shi • Z. Xiong • X. Zhu
Semi-Supervised Building Footprint Extraction Using Debiased Pseudo-Labels.
IEEE Transactions on Geoscience and Remote Sensing 63. Jan. 2025. DOI GitHub

[1470]

J. Li • T. Su • B. Zhao • F. Lv • Q. Wang • N. Navab • Y. Hu • Z. Jiang
Ultrasound Report Generation With Cross-Modality Feature Alignment via Unsupervised Guidance.
IEEE Transactions on Medical Imaging 44.1. Jan. 2025. DOI

[1469]

F. Fan • Y. Shi • T. Guggemos • X. Zhu
Hybrid Quantum Deep Learning With Superpixel Encoding for Earth Observation Data Classification.
IEEE Transactions on Neural Networks and Learning Systems Early Access. Jan. 2025. DOI URL

[1468]

W. Mayr • A. Triantafyllopoulos • A. Batliner • B. W. Schuller • T. M. Berghaus
Assessing the Clinical and Functional Status of COPD Patients Using Speech Analysis During and After Exacerbation.
International Journal of Chronic Obstructive Pulmonary Disease 20. Jan. 2025. DOI

[1467]

N. Heldring • A.-R. Rezaie • A. Larsson • R. Gahn • B. Zilg • S. Camilleri • A. Saade • P. Wesp • E. Palm • O. Kvist
A probability model for estimating age in young individuals relative to key legal thresholds: 15, 18 or 21-year.
International Journal of Legal Medicine 139.1. Jan. 2025. DOI

[1466]

H. Schulz-Kümpel • S. Fischer • T. Nagler • A.-L. Boulesteix • B. Bischl • R. Hornung
Constructing Confidence Intervals for 'the' Generalization Error – a Comprehensive Benchmark Study.
Journal of Data-centric Machine Learning Research 2.6. Jan. 2025. To be published. Preprint available. URL

[1465]

B. Lange
Moral parenthood and gestation: replies to Cordeiro, Murphy, Robinson and Baron.
Journal of Medical Ethics 51.2. Jan. 2025. DOI

[1464]

B. Lange
Moral parenthood: not gestational.
Journal of Medical Ethics 51.2. Jan. 2025. DOI

[1463]

R. Dorent • R. Khajavi • T. Idris • E. Ziegler • B. Somarouthu • H. Jacene • A. LaCasce • J. Deissler • J. Ehrhardt • S. Engelson • S. M. Fischer • Y. Gu • H. Handels • S. Kasai • S. Kondo • K. Maier-Hein • J. A. Schnabel • G. Wang • L. Wang • T. Wald • G.-Z. Yang • H. Zhang • M. Zhang • S. Pieper • G. Harris • R. Kikinis • T. Kapur
LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification.
Machine Learning for Biomedical Imaging 3.Special Issue. Jan. 2025. DOI GitHub

[1462]

E. Eulig • F. Jäger • J. Maier • B. Ommer • M. Kachelrieß
Reconstructing and analyzing the invariances of low-dose CT image denoising networks.
Medical Physics 52. Jan. 2025. DOI

[1461]

E. Achterhold • M. Mühlböck • N. Steiber • C. Kern
Fairness in Algorithmic Profiling: The AMAS Case.
Minds and Machines 35.9. Jan. 2025. DOI

[1460]

T. Li • S. Hofer • G. Moholdt • A. Igneczi • K. Heidler • X. Zhu • J. Bamber
Pervasive glacier retreats across Svalbard from 1985 to 2023.
Nature Communications 16.705. Jan. 2025. DOI

[1459]

B. Lange
Digital Duplicates and Collective Scarcity.
Philosophy and Technology 38.7. Jan. 2025. DOI

[1458]

M. Binz • S. Alaniz • A. Roskies • B. • C. T. Bergstrom • C. Allen • D. Schad • D. Wulff • J. D. • Q. Zhang • R. M. Shiffrin • S. J. Gershman • V. Popov • E. M. Bender • M. Marelli • M. M. Botvinick • Z. Akata • E. Schulz
How should the advancement of large language models affect the practice of science?
Proceedings of the National Academy of Sciences 122.5. Jan. 2025. DOI

[1457]

T. Weber • J. Dexl • D. Rügamer • M. Ingrisch
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition.
Radiology: Artificial Intelligence 7.2. Jan. 2025. DOI

[1456]

A. Scagliotti
Minimax Problems for Ensembles of Control-Affine Systems.
SIAM Journal on Control and Optimization 63.1. Jan. 2025. DOI

[1455]

M. Gorski • S. Wiegrebe • R. Burkhardt • M. Behr • H. Küchenhoff • K. J. Stark • C. A. Böger • I. M. Heid
Bias-corrected serum creatinine from UK Biobank electronic medical records generates an important data resource for kidney function trajectories.
Scientific Reports 15.3540. Jan. 2025. DOI

[1454]

K. Ghosh • M. Todorović • A. Vehtari • P. Rinke
Active learning of molecular data for task-specific objectives.
The Journal of Chemical Physics 162.014103. Jan. 2025. DOI

[1453]

J. Homer • O. Friedrich
SBIAX: Density-estimation simulation-based inference in JAX.
The Journal of Open Source Software 10.105. Jan. 2025. DOI

[1452]

M. Aleksic • T. Ehring • A. Kunze • Y. Han • H. Funk • L. Wolkenstein
Selective Effects of Eye Movement Desensitization and Reprocessing, Imagery Rescripting and Imaginal Exposure on Voluntary and Involuntary Memory of an Aversive Autobiographical Event.
Preprint (Jan. 2025). DOI

[1451]

F. Drexel • V. Sideri-Lampretsa • H. Bast • A. W. Marka • T. Koehler • F. T. Gassert • D. Pfeiffer • D. Rückert • F. Pfeiffer
Deformable Image Registration of Dark-Field Chest Radiographs for Local Lung Signal Change Assessment.
Preprint (Jan. 2025). arXiv

[1450]

Y. Feng • S. Feuerriegel • Y. R. Shrestha
Contextualizing Recommendation Explanations with LLMs: A User Study.
Preprint (Jan. 2025). arXiv

[1449]

Z. Haouari • J. Weidner • I. Ezhov • A. Varma • D. Rückert • B. Menze • B. Wiestler
Efficient Deep Learning-based Forward Solvers for Brain Tumor Growth Models.
Preprint (Jan. 2025). arXiv

[1448]

B. Jian • J. Pan • Y. Li • F. Bongratz • R. Li • D. Rückert • B. Wiestler • C. Wachinger
TimeFlow: Longitudinal Brain Image Registration and Aging Progression Analysis.
Preprint (Jan. 2025). arXiv

[1447]

O. Kononykhina • M. Schierholz • F. Kreuter
The Impact of Question Framing on the Precision of Automatic Occupation Coding.
Preprint (Jan. 2025). arXiv

[1446]

T. Mortier • A. Javanmardi • Y. Sale • E. Hüllermeier • W. Waegeman
Conformal Prediction in Hierarchical Classification.
Preprint (Jan. 2025). arXiv

[1445]

A. Saroha • F. Hofherr • M. Gladkova • C. Curreli • O. Litany • D. Cremers
ZDySS -- Zero-Shot Dynamic Scene Stylization using Gaussian Splatting.
Preprint (Jan. 2025). arXiv

[1444]

R. Schwank • A. McCormack • M. Drton
Robust Score Matching.
Preprint (Jan. 2025). arXiv

[1443]

M. H. Shaker • E. Hüllermeier
Random Forest Calibration.
Preprint (Jan. 2025). arXiv

[1442]

Z. Yang • M. Song • X. Jing • H. Zhang • K. Qian • B. Hu • K. Tamada • T. Takumi • B. W. Schuller • Y. Yamamoto
MADUV: The 1st INTERSPEECH Mice Autism Detection via Ultrasound Vocalization Challenge.
Preprint (Jan. 2025). arXiv

2024

[1441]

N. Strauß
Artificial intelligence for resource allocation tasks.
Dissertation LMU München. Dec. 2024. DOI

[1440]

B. Kühbacher • F. Iglesias-Suarez • N. Kilbertus • V. Eyring
Towards Physically Consistent Deep Learning For Climate Model Parameterizations.
ICMLA 2024 - 23rd IEEE International Conference on Machine Learning and Applications. Miami, FL, USA, Dec 18-20, 2024. DOI

[1439]

K. Bieker • H. T. Kussaba • P. Scholl • J. Jung • A. Swikir • S. Haddadin • G. Kutyniok
Compositional Construction of Barrier Functions for Switched Impulsive Systems.
CDC 2024 - 63rd IEEE Conference on Decision and Control. Milan, Italy, Dec 16-19, 2024. DOI

[1438]

M. Keicher
Multimodal Deep Learning for Holistic Clinical Decision and Reasoning Support.
Dissertation TU München. Dec. 2024. URL

[1437]

L. Gosch • M. Sabanayagam • D. Ghoshdastidar • S. Günnemann
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks.
AdvML-Frontiers @NeurIPS 2024 - 3rd Workshop on New Frontiers in Adversarial Machine Learning at the 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL

[1436]

C. Bülte • P. Scholl • G. Kutyniok
Probabilistic predictions with Fourier neural operators.
BDU @NeurIPS 2024 - Workshop Bayesian Decision-making and Uncertainty: from probabilistic and spatiotemporal modeling to sequential experiment design at the 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL

[1435]

A. Koebler • T. Decker • I. Thon • V. Tresp • F. Buettner
Incremental Uncertainty-aware Performance Monitoring with Labeling Intervention.
BDU @NeurIPS 2024 - Workshop Bayesian Decision-making and Uncertainty: from probabilistic and spatiotemporal modeling to sequential experiment design at the 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL

[1434]

Y. Zhang • Y. Li • X. Wang • Q. Shen • B. Plank • B. Bischl • M. Rezaei • K. Kawaguchi
FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models.
Compression Workshop @NeurIPS 2024 - Workshop on Machine Learning and Compression at the 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL

[1433]

A. White • A. Büttner • M. Gelbrecht • N. Kilbertus • F. Hellmann • N. Boers
Projected Neural Differential Equations for Power Grid Modeling with Constraints.
D3S3 @NeurIPS 2024 - Workshop on Data-driven and Differentiable Simulations, Surrogates, and Solvers at the 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL

[1432]

B. Cong • N. Daheim • Y. Shen • D. Cremers • R. Yokota • M. Khan • T. Möllenhoff
Variational Low-Rank Adaptation Using IVON.
FITML @NeurIPS 2024 - Workshop Fine-Tuning in Modern Machine Learning: Principles and Scalability at the 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL GitHub

[1431]

E. Ailer • N. Dern • J. Hartford • N. Kilbertus
Targeted Sequential Indirect Experiment Design.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL

[1430]

A. Bonfanti • G. Bruno • C. Cipriani
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL

[1429]

R. Dhahri • A. Immer • B. Charpentier • S. Günnemann • V. Fortuin
Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks Using the Marginal Likelihood.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL

[1428]

L. Eyring • S. Karthik • K. Roth • A. Dosovitskiy • Z. Akata
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL GitHub

[1427]

F. Hoppe • C. M. Verdun • H. Laus • F. Krahmer • H. Rauhut
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL

[1426]

A. Javanmardi • D. Stutz • E. Hüllermeier
Conformalized Credal Set Predictors.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL

[1425]

A. H. Kargaran • F. Yvon • H. Schütze
GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL

[1424]

F. Köhler • S. Niedermayr • R. Westermann • N. Thuerey
APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL GitHub

[1423]

M. Kollovieh • B. Charpentier • D. Zügner • S. Günnemann
Expected Probabilistic Hierarchies.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL

[1422]

G. Ma • Y. Wang • D. Lim • S. Jegelka • Y. Wang
A Canonicalization Perspective on Invariant and Equivariant Learning.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL GitHub

[1421]

Y. Ma • V. Melnychuk • J. Schweisthal • S. Feuerriegel
DiffPO: A causal diffusion model for learning distributions of potential outcomes.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL

[1420]

V. Melnychuk • S. Feuerriegel • M. van der Schaar
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL

[1419]

M. Muschalik • H. Baniecki • F. Fumagalli • P. Kolpaczki • B. Hammer • E. Hüllermeier
shapiq: Shapley Interactions for Machine Learning.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL GitHub

[1418]

T. Nagler • L. Schneider • B. Bischl • M. Feurer
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL GitHub

[1417]

R. Paolino • S. Maskey • P. Welke • G. Kutyniok
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL GitHub

[1416]

D. Rügamer • B. X. W. Liew • Z. Altai • A. Stöcker
A Functional Extension of Semi-Structured Networks.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL

[1415]

R. Stolz • H. Krasowski • J. Thumm • M. Eichelbeck • P. Gassert • M. Althoff
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL

[1414]

V. Udandarao • K. Roth • S. Dziadzio • A. Prabhu • M. Cherti • O. Vinyals • O. Hénaff • S. Albanie • Z. Akata • M. Bethge
A Practitioner's Guide to Real-World Continual Multimodal Pretraining.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL GitHub

[1413]

J. Wang • M. Ghahremani • Y. Li • B. Ommer • C. Wachinger
Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL GitHub

[1412]

Y. Wang • K. Hu • S. Gupta • Z. Ye • Y. Wang • S. Jegelka
Understanding the Role of Equivariance in Self-supervised Learning.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL GitHub

[1411]

Y. Wang • Y. Wu • Z. Wei • S. Jegelka • Y. Wang
A Theoretical Understanding of Self-Correction through In-context Alignment.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL GitHub

[1410]

D. Winkel • N. Strauß • M. Bernhard • Z. Li • T. Seidl • M. Schubert
Autoregressive Policy Optimization for Constrained Allocation Tasks.
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL GitHub

[1409]

M. Yau • N. Karalias • E. Lu • J. Xu • S. Jegelka
Are Graph Neural Networks Optimal Approximation Algorithms?
NeurIPS 2024 - 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL

[1408]

M. Koshil • T. Nagler • M. Feurer • K. Eggensperger
Towards Localization via Data Embedding for TabPFN.
TLR @NeurIPS 2024 - 3rd Table Representation Learning Workshop at the 38th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL

[1407]

B. M. G. Nielsen • L. Gresele • A. Dittadi
Challenges in Explaining Representational Similarity through Identifiability.
UniReps @NeurIPS 2024 - 2nd Workshop on Unifying Representations in Neural Models at the 37th Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 10-15, 2024. URL

[1406]

T. Beker • X. Zhu
Volcanic Deformation Monitoring utilizing Deep Learning and Wavelet Transform.
AGU 2024 - American Geophysical Union Annual Meeting. Washington D.C., USA, Dec 09-13, 2024. URL

[1405]

C. Leiber • N. Strauß • M. Schubert • T. Seidl
Dying Clusters Is All You Need -- Deep Clustering With an Unknown Number of Clusters.
DLC 2024 @ICDM 2024 - 6th Workshop on Deep Learning and Clustering at the 24th IEEE International Conference on Data Mining. Abu Dhabi, United Arab Emirates, Dec 09-12, 2024. DOI GitHub

[1404]

M. Bernhard
Deep learning methods for image recognition in remote sensing.
Dissertation LMU München. Dec. 2024. DOI

[1403]

A. Beer • P. Weber • L. Miklautz • C. Leiber • W. Durani • C. Böhm • C. Plant
SHADE: Deep Density-based Clustering.
ICDM 2024 - 24th IEEE International Conference on Data Mining. Abu Dhabi, United Arab Emirates, Dec 09-12, 2024. DOI

[1402]

V. Basile • S. Casola • S. Frenda • S. M. Lo
PERSEID - Perspectivist Irony Detection: A CALAMITA Challenge.
CLiC-it 2024 - 10th Italian Conference on Computational Linguistics. Pisa, Italy, Dec 04-06, 2024. URL

[1401]

T. Bourgeade • S. Casola • A. M. Wizani • C. Bosco
Data Augmentation through Back-Translation for Stereotypes and Irony Detection.
CLiC-it 2024 - 10th Italian Conference on Computational Linguistics. Pisa, Italy, Dec 04-06, 2024. URL

[1400]

S. Frenda • A. Piergentili • B. Savoldi • M. Madeddu • M. Rosola • S. Casola • C. Ferrando • V. Patti • M. Negri • L. Bentivogli
GFG - Gender-Fair Generation: A CALAMITA Challenge.
CLiC-it 2024 - 10th Italian Conference on Computational Linguistics. Pisa, Italy, Dec 04-06, 2024. URL

[1399]

A. Triantafyllopoulos • B. W. Schuller
Hearing aids in the era of foundation models.
GMS Zeitschrift für Audiologie 6.28. Dec. 2024. DOI

[1398]

U. Fischer Abaigar • C. Kern • N. Barda • F. Kreuter
Bridging the gap: Towards an expanded toolkit for AI-driven decision-making in the public sector.
Government Information Quarterly 41.4. Dec. 2024. DOI

[1397]

T. Hannan • R. Koner • M. Bernhard • S. Shit • B. Menze • V. Tresp • M. Schubert • T. Seidl
GRAtt-VIS: Gated Residual Attention for Video Instance Segmentation.
ICPR 2020 - 27th International Conference on Pattern Recognition. Kolkata, India, Dec 01-05, 2024. DOI GitHub

[1396]

Y. N. Böck • H. Boche • F. H. P. Fitzek • G. Kutyniok
Computing-Model and Computing-Hardware Selection for ICT Under Societal and Judicial Constraints.
IEEE Access 12. Dec. 2024. DOI

[1395]

A. Höhl • I. Obadic • M.-Á. Fernández-Torres • H. Najjar • D. Oliveira • Z. Akata • A. Dengel • X. Zhu
Opening the Black Box: A systematic review on explainable artificial intelligence in remote sensing.
IEEE Geoscience and Remote Sensing Magazine 12.4. Dec. 2024. DOI

[1394]

S. Zhao • Z. Chen • Z. Xiong • Y. Shi • S. Saha • X. Zhu
Beyond Grid Data: Exploring graph neural networks for Earth observation.
IEEE Geoscience and Remote Sensing Magazine Early Access. Dec. 2024. DOI

[1393]

N. Saberi • M. H. Shaker • C. R. Duguay • K. A. Scott • E. Hüllermeier
Uncertainty Estimation of Lake Ice Cover Maps From a Random Forest Classifier Using MODIS TOA Reflectance Data.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 18. Dec. 2024. DOI

[1392]

Q. Sun • A. Akman • X. Jing • M. Milling • B. W. Schuller
Audio-based Kinship Verification Using Age Domain Conversion.
IEEE Signal Processing Letters 32. Dec. 2024. DOI

[1391]

L. Shen • H. Zhang • C. Zhu • R. Li • K. Qian • W. Meng • F. Tian • B. Hu • B. W. Schuller • Y. Yamamoto
A First Look at Generative Artificial Intelligence Based Music Therapy for Mental Disorders.
IEEE Transactions on Consumer Electronics Early Access. Dec. 2024. DOI

[1390]

Z. Chen • Y. Shi • L. Nan • Z. Xiong • X. Zhu
PolyGNN: Polyhedron-based graph neural network for 3D building reconstruction from point clouds.
ISPRS Journal of Photogrammetry and Remote Sensing 218.A. Dec. 2024. DOI GitHub

[1389]

J. Herbinger • M. N. Wright • T. Nagler • B. Bischl • G. Casalicchio
Decomposing Global Feature Effects Based on Feature Interactions.
Journal of Machine Learning Research 25.381. Dec. 2024. URL

[1388]

L. Kook • P. F. M. Baumann • O. Dürr • B. Sick • D. Rügamer
Estimating Conditional Distributions with Neural Networks Using R Package deeptrafo.
Journal of Statistical Software 111.10. Dec. 2024. DOI

[1387]

H. Weingärtner • M. Windl • L. L. Chuang • F. Draxler
Useful but Distracting: Viewer Experience with Keyword Highlights and Time-Synchronization in Captions for Language Learning.
MUM 2024 - 23rd International Conference on Mobile and Ubiquitous Multimedia. Stockholm, Sweden, Dec 01-04, 2024. DOI

[1386]

L. B. Kuemmerle • M. D. Luecken • A. B. Firsova • L. Barros de Andrade e Sousa • L. Straßer • I. I. Mekki • F. Campi • L. Heumos • M. Shulman • V. Beliaeva • S. Hediyeh-Zadeh • A. C. Schaar • K. T. Mahbubani • A. Sountoulidis • T. Balassa • F. Kovacs • P. Horvath • M. Piraud • A. Ertürk • C. Samakovlis • F. J. Theis
Probe set selection for targeted spatial transcriptomics.
Nature Methods 21. Dec. 2024. DOI

[1385]

J. Senoner • S. Schallmoser • B. Kratzwald • S. Feuerriegel • T. Netland
Explainable AI improves task performance in human–AI collaboration.
Scientific Reports 14.31150. Dec. 2024. DOI

[1384]

M. Kollovieh • L. Gosch • M. Lienen • Y. Scholten • L. Schwinn • S. Günnemann
Assessing Robustness via Score-Based Adversarial Image Generation.
Transactions on Machine Learning Research. Dec. 2024. URL

[1383]

M. Weber • L. Yu • Q. Yu • X. Deng • X. Shen • D. Cremers • L.-C. Chen
MaskBit: Embedding-free Image Generation via Bit Tokens.
Transactions on Machine Learning Research. Dec. 2024. Certifications: Reproducibility, Featured. URL

[1382]

A. Baumann • R. Li • M. Klasson • S. Mentu • S. Karthik • Z. Akata • A. Solin • M. Trapp
Post-hoc Probabilistic Vision-Language Models.
Preprint (Dec. 2024). arXiv

[1381]

F. Fumagalli • M. Muschalik • E. Hüllermeier • B. Hammer • J. Herbinger
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory.
Preprint (Dec. 2024). arXiv

[1380]

J. Hingerl • A. Karollus • J. Gagneur
Flashzoi: An enhanced Borzoi model for accelerated genomic analysis.
Preprint (Dec. 2024). DOI

[1379]

V. T. Hu • B. Ommer
[MASK] is All You Need.
Preprint (Dec. 2024). arXiv

[1378]

Y. Li • M. Milling • L. Specia • B. W. Schuller
From Audio Deepfake Detection to AI-Generated Music Detection -- A Pathway and Overview.
Preprint (Dec. 2024). arXiv

[1377]

S. Liang • S. Wang • K. Li • M. Niemeyer • S. Gasperini • N. Navab • F. Tombari
SuperGSeg: Open-Vocabulary 3D Segmentation with Structured Super-Gaussians.
Preprint (Dec. 2024). arXiv

[1376]

Y. Mansour • R. Heckel
Measuring Bias of Web-filtered Text Datasets and Bias Propagation Through Training.
Preprint (Dec. 2024). arXiv

[1375]

A. Reithmeir • V. Spieker • V. Sideri-Lampretsa • D. Rückert • J. A. Schnabel • V. A. Zimmer
From Model Based to Learned Regularization in Medical Image Registration: A Comprehensive Review.
Preprint (Dec. 2024). arXiv

[1374]

C. Sauer • A.-L. Boulesteix • L. Hanßum • F. Hodiamont • C. Bausewein • T. Ullmann
Beyond algorithm hyperparameters: on preprocessing hyperparameters and associated pitfalls in machine learning applications.
Preprint (Dec. 2024). arXiv

[1373]

Q. Sun • Y. Li • E. Alturki • S. M. K. Murthy • B. W. Schuller
Towards Friendly AI: A Comprehensive Review and New Perspectives on Human-AI Alignment.
Preprint (Dec. 2024). arXiv

[1372]

J. Wang • Z. Qin • Y. Zhang • V. T. Hu • B. Ommer • R. Briq • S. Kesselheim
Scaling Image Tokenizers with Grouped Spherical Quantization.
Preprint (Dec. 2024). arXiv

[1371]

Y. Wang • Q. Song • D. Wasif • M. Shahzad • C. Koller • J. Bamber • X. Zhu
How Certain are Uncertainty Estimates? Three Novel Earth Observation Datasets for Benchmarking Uncertainty Quantification in Machine Learning.
Preprint (Dec. 2024). arXiv GitHub

[1370]

Y. Xia • Z. Li • Y.-J. Li • L. Shi • H. Cao • J. F. Henriques • D. Cremers
UniLoc: Towards Universal Place Recognition Using Any Single Modality.
Preprint (Dec. 2024). arXiv GitHub

[1369]

X. Xue • G. Wei • H. Chen • H. Zhang • F. Lin • C. Shen • X. Zhu
REO-VLM: Transforming VLM to Meet Regression Challenges in Earth Observation.
Preprint (Dec. 2024). arXiv

[1368]

Y. Yeganeh • R. Xiao • G. Guvercin • N. Navab • A. Farshad
Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures.
Preprint (Dec. 2024). arXiv

[1367]

J. Shin • A. Khatri • M. A. Hedderich • A. Lucero • A. Oulasvirta
Facilitating Asynchronous Idea Generation and Selection with Chatbots.
OZCHI 2024 - 36th Australian Conference on Human-Computer Interaction. Brisbane, Australia, Nov 30-Dec 04, 2024. DOI

[1366]

A. Kathan • S. Amiriparian • L. Christ • S. Eulitz • B. W. Schuller
Automatic Speech-Based Charisma Recognition and the Impact of Integrating Auxiliary Characteristics.
TELEPRESENCE 2024 - IEEE Conference on Telepresence. Pasadena, CA, USA, Nov 16-17, 2024. DOI

[1365]

S. Amiriparian • M. Gerczuk • J. Lutz • W. Strube • I. Papazova • A. Hasan • A. Kathan • B. W. Schuller
Non-Invasive Suicide Risk Prediction Through Speech Analysis.
EHB 2024 - 12th E-Health and Bioengineering Conference. IASI, Romania, Nov 14-15, 2024. DOI

[1364]

M. Di Marco • A. Fraser
Subword Segmentation in LLMs: Looking at Inflection and Consistency.
EMNLP 2024 - Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI

[1363]

L. Edman • H. Schmid • A. Fraser
CUTE: Measuring LLMs’ Understanding of Their Tokens.
EMNLP 2024 - Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI

[1362]

W. Lai • V. Hangya • A. Fraser
Style-Specific Neurons for Steering LLMs in Text Style Transfer.
EMNLP 2024 - Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI

[1361]

Y. J. Liu • T. Aoyama • W. Scivetti • Y. Zhu • S. Behzad • L. E. Levine • J. Lin • D. Tiwari • A. Zeldes
GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains.
EMNLP 2024 - Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI

[1360]

Y. Liu • Y. Zhang • Q. Li • T. Liu • S. Feng • D. Wang • Y. Zhang • H. Schütze
HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy.
EMNLP 2024 - Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI

[1359]

P. Mondorf • B. Plank
Liar, Liar, Logical Mire: A Benchmark for Suppositional Reasoning in Large Language Models.
EMNLP 2024 - Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI

[1358]

P. F. Balestrucci • S. Casola • S. M. Lo • V. Basile • A. Mazzei
I’m sure you’re a real scholar yourself: Exploring Ironic Content Generation by Large Language Models.
Findings @EMNLP 2024 - Findings of the Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI

[1357]

B. Chen • X. Wang • S. Peng • R. Litschko • A. Korhonen • B. Plank
'Seeing the Big through the Small': Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?
Findings @EMNLP 2024 - Findings of the Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI

[1356]

Z. Ding • J. Wu • J. Wu • Y. Xia • V. Tresp
Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs.
Findings @EMNLP 2024 - Findings of the Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI

[1355]

E. Garces Arias • J. Rodemann • M. Li • C. Heumann • M. Aßenmacher
Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation.
Findings @EMNLP 2024 - Findings of the Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI

[1354]

A. Köksal • T. Schick • A. Korhonen • H. Schütze
LongForm: Effective Instruction Tuning with Reverse Instructions.
Findings @EMNLP 2024 - Findings of the Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI GitHub

[1353]

R. Liao • M. Erler • H. Wang • G. Zhai • G. Zhang • Y. Ma • V. Tresp
VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs.
Findings @EMNLP 2024 - Findings of the Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI GitHub

[1352]

B. Ma • X. Wang • T. Hu • A.-C. Haensch • M. A. Hedderich • B. Plank • F. Kreuter
The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models.
Findings @EMNLP 2024 - Findings of the Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI

[1351]

A. Modarressi • A. Köksal • H. Schütze
Consistent Document-Level Relation Extraction via Counterfactuals.
Findings @EMNLP 2024 - Findings of the Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI

[1350]

A. Sedova • R. Litschko • D. Frassinelli • B. Roth • B. Plank
To Know or Not To Know? Analyzing Self-Consistency of Large Language Models under Ambiguity.
Findings @EMNLP 2024 - Findings of the Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI

[1349]

M. Wang • L. Lange • H. Adel • J. Strötgen • H. Schütze
Better Call SAUL: Fluent and Consistent Language Model Editing with Generation Regularization.
Findings @EMNLP 2024 - Findings of the Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI

[1348]

O. Xhelili • Y. Liu • H. Schütze
Breaking the Script Barrier in Multilingual Pre-Trained Language Models with Transliteration-Based Post-Training Alignment.
Findings @EMNLP 2024 - Findings of the Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI GitHub

[1347]

A. Yüksel • A. Köksal • L. K. Senel • A. Korhonen • H. Schütze
TurkishMMLU: Measuring Massive Multitask Language Understanding in Turkish.
Findings @EMNLP 2024 - Findings of the Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI GitHub

[1346]

H. Zhang • J. Liu • Z. Han • S. Chen • B. He • V. Tresp • Z. Xu • J. Gu
Visual Question Decomposition on Multimodal Large Language Models.
Findings @EMNLP 2024 - Findings of the Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI

[1345]

R. Zhao • A. Köksal • Y. Liu • L. Weissweiler • A. Korhonen • H. Schütze
SynthEval: Hybrid Behavioral Testing of NLP Models with Synthetic Evaluation.
Findings @EMNLP 2024 - Findings of the Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI GitHub

[1344]

K. Hämmerl • A. Manea • G. Vico • J. Helcl • J. Libovický
CUNI and LMU Submission to the MRL 2024 Shared Task on Multi-lingual Multi-task Information Retrieval.
MRL @EMNLP 2024 - 4th Multilingual Representation Learning Workshop at the Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI

[1343]

J. Wang • L. Zuo • S. Peng • B. Plank
MultiClimate: Multimodal Stance Detection on Climate Change Videos.
NLP4PI @EMNLP 2024 - 3rd Workshop on NLP for Positive Impact at the Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI GitHub

[1342]

A. Mallol-Ragolta • M. Milling • B. W. Schuller
Multi-Triplet Loss-Based Models for Categorical Depression Recognition from Speech.
IberSPEECH 2024 - 7th Conference IberSPEECH 2024. Aveiro, Portugal, Nov 11-13, 2024. PDF

[1341]

A. Mallol-Ragolta • A. Spiesberger • A. B. Salvador • B. W. Schuller
Prototypical Networks for Speech Emotion Recognition in Spanish.
IberSPEECH 2024 - 7th Conference IberSPEECH 2024. Aveiro, Portugal, Nov 11-13, 2024. PDF

[1340]

A. Mallol-Ragolta • A. Spiesberger • B. W. Schuller
Face Mask Type and Coverage Area Recognition from Speech with Prototypical Networks.
IberSPEECH 2024 - 7th Conference IberSPEECH 2024. Aveiro, Portugal, Nov 11-13, 2024. PDF

[1339]

A. Bashardoust • S. Feuerriegel • Y. R. Shrestha
Comparing the Willingness to Share for Human-generated vs. AI-generated Fake News.
CSCW 2024 - 27th ACM SIGCHI Conference on Computer-Supported Cooperative Work and Social Computing. San José, Costa Rica, Nov 09-13, 2024. DOI

[1338]

D. Geißler • S. Feuerriegel
Analyzing the Strategy of Propaganda using Inverse Reinforcement Learning: Evidence from the 2022 Russian Invasion of Ukraine.
CSCW 2024 - 27th ACM SIGCHI Conference on Computer-Supported Cooperative Work and Social Computing. San José, Costa Rica, Nov 09-13, 2024. DOI

[1337]

A. Maarouf • N. Pröllochs • S. Feuerriegel
The Virality of Hate Speech on Social Media.
CSCW 2024 - 27th ACM SIGCHI Conference on Computer-Supported Cooperative Work and Social Computing. San José, Costa Rica, Nov 09-13, 2024. DOI

[1336]

I. M. Grigore • G. M. Tavares • S. Barbon Junior
Beyond Flattening: Detecting Concurrency Anomalies Using K-NN Graph-Based Modeling in Object-Centric Event Logs.
DATAMOD @SEFM 2024 - 12th International Symposium From Data to Models and Back at the 22nd International Conference of Software Engineering and Formal Methods. Aveiro, Portugal, Nov 04-05, 2024. DOI

[1335]

C. Kern • R. Bach • H. Mautner • F. Kreuter
When Small Decisions Have Big Impact: Fairness Implications of Algorithmic Profiling Schemes.
ACM Journal on Responsible Computing. Nov. 2024. DOI

[1334]

Q. Li • S. Krapf • L. Mou • Y. Shi • X. Zhu
Deep learning-based framework for city-scale rooftop solar potential estimation by considering roof superstructures.
Applied Energy 374.123839. Nov. 2024. DOI

[1333]

A. Beyerlein • K. Katz • H. Küchenhoff • W. Hartl
Long-Term Changes in Vaccination Protection Against Severe Courses of COVID-19 by Non-adapted MRNA-Based Vaccines.
Deutsches Ärzteblatt 121.24. Nov. 2024. DOI

[1332]

K. D. Bartl-Pokorny • C. Zitta • M. Beirit • G. Vogrinec • B. W. Schuller • F. B. Pokorny
Focused review on artificial intelligence for disease detection in infants.
Frontiers in Digital Health 6. Nov. 2024. DOI

[1331]

Y. Wang • H. Hernández Hernández • C. M. Albrecht • X. Zhu
Feature Guided Masked Autoencoder for Self-Supervised Learning in Remote Sensing.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 18. Nov. 2024. DOI

[1330]

Y. Yang • X. Sun • J. Dong • K.-M. Lam • X. Zhu
Attention-ConvNet Network for Ocean-Front Prediction via Remote Sensing SST Images.
IEEE Transactions on Geoscience and Remote Sensing 62. Nov. 2024. DOI GitHub

[1329]

W. Yu • X. Zhang • R. Gloaguen • X. Zhu • P. Ghamisi
MineNetCD: A Benchmark for Global Mining Change Detection on Remote Sensing Imagery.
IEEE Transactions on Geoscience and Remote Sensing 62. Nov. 2024. DOI

[1328]

M. F. Azampour • K. Mach • E. Fatemizadeh • B. Demiray • K. Westenfelder • K. Steiger • M. Eiber • T. Wendler • B. Kainz • N. Navab
Multitask Weakly Supervised Generative Network for MR-US Registration.
IEEE Transactions on Medical Imaging 43.11. Nov. 2024. DOI

[1327]

T. Woehrle • F. Pfeiffer • M. M. Mandl • W. Sobtzick • J. Heitzer • A. Krstova • L. Kamm • M. Feuerecker • D. Moser • M. Klein • B. Aulinger • M. Dolch • A.-L. Boulesteix • D. Lanz • A. Choukér
Point-of-care breath sample analysis by semiconductor-based E-Nose technology discriminates non-infected subjects from SARS-CoV-2 pneumonia patients: a multi-analyst experiment.
MedComm 5.11. Nov. 2024. DOI

[1326]

C. Geldhauser • C. Kuehn
Travelling waves for discrete stochastic bistable equations.
Partial Differential Equations and Applications 5.35. Nov. 2024. DOI

[1325]

S. Nyholm
Digital Duplicates and Personal Scarcity: Reply to Voinea et al and Lundgren.
Philosophy and Technology 37.132. Nov. 2024. DOI

[1324]

Y. Li • Y. Zhang • K. Kawaguchi • A. Khakzar • B. Bischl • M. Rezaei
A Dual-Perspective Approach to Evaluating Feature Attribution Methods.
Transactions on Machine Learning Research. Nov. 2024. URL

[1323]

D. Bär • A. Maarouf • S. Feuerriegel
Generative AI may backfire for counterspeech.
Preprint (Nov. 2024). arXiv

[1322]

F. Bongratz • M. Karmann • A. Holz • M. Bonhoeffer • V. Neumaier • S. Deli • B. Schmitz-Koep • C. Zimmer • C. Sorg • M. Thalhammer • D. M. Hedderich • C. Wachinger
MLV2-Net: Rater-Based Majority-Label Voting for Consistent Meningeal Lymphatic Vessel Segmentation.
Preprint (Nov. 2024). arXiv

[1321]

K. Flöge • M. A. Moeed • V. Fortuin
Stein Variational Newton Neural Network Ensembles.
Preprint (Nov. 2024). arXiv

[1320]

K. Flöge • S. Udayakumar • J. Sommer • M. Piraud • S. Kesselheim • V. Fortuin • S. Günneman • K. J. van der Weg • H. Gohlke • E. Merdivan • A. Bazarova
OneProt: Towards Multi-Modal Protein Foundation Models.
Preprint (Nov. 2024). arXiv

[1319]

J. Gauss • T. Nagler
Asymptotics for estimating a diverging number of parameters -- with and without sparsity.
Preprint (Nov. 2024). arXiv

[1318]

V. Hofmann • L. Weissweiler • D. Mortensen • H. Schütze • J. Pierrehumbert
Derivational Morphology Reveals Analogical Generalization in Large Language Models.
Preprint (Nov. 2024). arXiv

[1317]

P. Janetzky • T. Schlagenhauf • S. Feuerriegel
Slowing Down Forgetting in Continual Learning.
Preprint (Nov. 2024). arXiv

[1316]

B. Kulynych • J. F. Gomez • G. Kaissis • F. du Pin Calmon • C. Troncoso
Attack-Aware Noise Calibration for Differential Privacy.
Preprint (Nov. 2024). arXiv URL

[1315]

Y.-J. Li • M. Gladkova • Y. Xia • D. Cremers
SADG: Segment Any Dynamic Gaussian Without Object Trackers.
Preprint (Nov. 2024). arXiv

[1314]

S. Rampp • M. Milling • A. Triantafyllopoulos • B. W. Schuller
Does the Definition of Difficulty Matter? Scoring Functions and their Role for Curriculum Learning.
Preprint (Nov. 2024). arXiv

[1313]

S. Rampp • A. Triantafyllopoulos • M. Milling • B. W. Schuller
autrainer: A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks.
Preprint (Nov. 2024). arXiv

[1312]

K. R. Scherer • F. Burkhardt • U. D. Reichel • F. Eyben • B. W. Schuller
Using voice analysis as an early indicator of risk for depression in young adults.
Preprint (Nov. 2024). arXiv

[1311]

Q. Sun • A. Akman • B. W. Schuller
Explainable Artificial Intelligence for Medical Applications: A Review.
Preprint (Nov. 2024). arXiv

[1310]

M. Szép • D. Rückert • R. Eisenhart-Rothe • F. Hinterwimmer
A Practical Guide to Fine-tuning Language Models with Limited Data.
Preprint (Nov. 2024). arXiv

[1309]

M. Thaler • A. Köksal • A. Leidinger • A. Korhonen • H. Schütze
How far can bias go? -- Tracing bias from pretraining data to alignment.
Preprint (Nov. 2024). arXiv

[1308]

A. Triantafyllopoulos • Y. Terhorst • I. Tsangko • F. B. Pokorny • K. D. Bartl-Pokorny • L. Seizer • A. Klein • J. Chim • D. Atzil-Slonim • M. Liakata • M. Bühner • J. Löchner • B. W. Schuller
Large language models for mental health.
Preprint (Nov. 2024). arXiv

[1307]

W. Zhang • Q. Cheng • D. Skuddis • N. Zeller • D. Cremers • N. Haala
HI-SLAM2: Geometry-Aware Gaussian SLAM for Fast Monocular Scene Reconstruction.
Preprint (Nov. 2024). arXiv GitHub

[1306]

B. Lange
Epistemic Deference to AI.
AISoLA 2024 - 2nd International Conference on Bridging the Gap Between AI and Reality. Crete, Greece, Oct 30-Nov 03, 2024. DOI

[1305]

S. Amiriparian • L. Christ • A. Kathan • M. Gerczuk • N. Müller • S. Klug • L. Stappen • A. König • E. Cambria • B. W. Schuller • S. Eulitz
The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor Recognition.
MuSe @MM 2024 - 5th on Multimodal Sentiment Analysis Challenge and Workshop: Social Perception and Humor at the 32nd ACM International Conference on Multimedia. Melbourne, Australia , Oct 28-Nov 01, 2024. DOI

[1304]

M. Bernhard • T. Hannan • N. Strauß • M. Schubert
Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing Images.
ECAI 2024 - 27th European Conference on Artificial Intelligence. Santiago de Compostela, Spain, Oct 19-24, 2024. DOI GitHub

[1303]

Y. Liu • F. Shi • D. Wang • Y. Zhang • H. Schütze
ChatZero: Zero-Shot Cross-Lingual Dialogue Generation via Pseudo-Target Language.
ECAI 2024 - 27th European Conference on Artificial Intelligence. Santiago de Compostela, Spain, Oct 19-24, 2024. DOI

[1302]

J. Nam • I. Chalkidis • M. Rezaei
Hyperbolic Contrastive Learning for Document Representations – A Multi-View Approach with Paragraph-level Similarities.
ECAI 2024 - 27th European Conference on Artificial Intelligence. Santiago de Compostela, Spain, Oct 19-24, 2024. DOI

[1301]

M. Aßenmacher • L. Karrlein • P. Schiele • C. Heumann
Introducing wwm-german-18k - Can LLMs Crack the Million? (Or Win at Least 500 Euros?).
ICNLSP 2024 - 7th International Conference on Natural Language and Speech Processing. Trento, Italy, Oct 19-20, 2024. URL

[1300]

S. M. A. R. Thies • J. C. Alfaro • V. Bengs
MORE–PLR: Multi-Output Regression Employed for Partial Label Ranking.
DS 2024 - 27th International Conference on Discovery Science. Pisa, Italy, Oct 14-16, 2024. DOI GitHub

[1299]

A. Maldonado • S. A. Aryasomayajula • C. M. M. Frey • T. Seidl
iGEDI: interactive Generating Event Data with Intentional Features.
Demo Tracks @ICPM 2024 - Demo Tracks at the 6th International Conference on Process Mining. Lyngby, Denmark, Oct 14-18, 2024. URL

[1298]

A. Maldonado
Data-Driven Approaches Towards Transparent Benchmarking of Process Mining Tasks.
Doctoral Consortium @ICPM 2024 - Doctoral Consortium at the 6th International Conference on Process Mining. Lyngby, Denmark, Oct 14-18, 2024. URL

[1297]

S. Rauch • C. M. M. Frey • L. Zellner • T. Seidl
Process-Aware Bayesian Networks for Sequential Event Log Queries.
ICPM 2024 - 6th International Conference on Process Mining. Lyngby, Denmark, Oct 14-18, 2024. DOI

[1296]

L. Cheng • J. Hu • H. Yan • M. Gladkova • T. Huang • Y.-H. Liu • D. Cremers • H. Li
Physically-Based Photometric Bundle Adjustment in Non-Lambertian Environments.
IROS 2024 - IEEE/RSJ International Conference on Intelligent Robots and Systems. Abu Dhabi, United Arab Emirates, Oct 14-18, 2024. DOI

[1295]

A. Ranne • L. Kuang • Y. Velikova • N. Navab • F. Baena
CathFlow: Self-Supervised Segmentation of Catheters in Interventional Ultrasound Using Optical Flow and Transformers.
IROS 2024 - IEEE/RSJ International Conference on Intelligent Robots and Systems. Abu Dhabi, United Arab Emirates, Oct 14-18, 2024. DOI

[1294]

Z. Xian • L. Zellner • G. M. Tavares • T. Seidl
CC-HIT: Creating Counterfactuals from High-Impact Transitions.
ML4PM @ICPM 2024 - 5th International Workshop on Leveraging Machine Learning in Process Mining at the 6th International Conference on Process Mining. Lyngby, Denmark, Oct 14-18, 2024. DOI

[1293]

M. S. Deka • L. Sang • D. Cremers
Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis.
GCPR 2024 - German Conference on Pattern Recognition. Munich, Germany, Oct 10-13, 2024. DOI

[1292]

D. Komorowicz • L. Sang • F. Maiwald • D. Cremers
Coloring the Past: Neural Historical Monuments Reconstruction from Archival Photography.
GCPR 2024 - German Conference on Pattern Recognition. Munich, Germany, Oct 10-13, 2024. DOI GitHub

[1291]

J. Meier • L. Scalerandi • O. Dhaouadi • J. Kaiser • N. Araslanov • D. Cremers
CARLA Drone: Monocular 3D Object Detection from a Different Perspective.
GCPR 2024 - German Conference on Pattern Recognition. Munich, Germany, Oct 10-13, 2024. DOI

[1290]

L. Sang • A. Saroha • M. Gao • D. Cremers
Enhancing Surface Neural Implicits with Curvature-Guided Sampling and Uncertainty-Augmented Representations.
GCPR 2024 - German Conference on Pattern Recognition. Munich, Germany, Oct 10-13, 2024. DOI

[1289]

A. Saroha • M. Gladkova • C. Curreli • D. Muhle • T. Yenamandra • D. Cremers
Gaussian Splatting in Style.
GCPR 2024 - German Conference on Pattern Recognition. Munich, Germany, Oct 10-13, 2024. DOI

[1288]

P. Mondorf • B. Plank
Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models--A Survey.
COLM 2024 - Conference on Language Modeling. Philadelphia, PA, USA, Oct 07-09, 2024. PDF

[1287]

X. Wang • C. Hu • B. Ma • P. Rottger • B. Plank
Look at the Text: Instruction-Tuned Language Models are More Robust Multiple Choice Selectors than You Think.
COLM 2024 - Conference on Language Modeling. Philadelphia, PA, USA, Oct 07-09, 2024. PDF

[1286]

F. Dülmer • W. Simson • M. F. Azampour • M. Wysocki • A. Karlas • N. Navab
PHOCUS: Physics-Based Deconvolution for Ultrasound Resolution Enhancement.
ASMUS @MICCAI 2024 - 5th International Workshop on Advances in Simplifying Medical Ultrasound at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. ASMUS @MICCAI 2024 Best Paper Award. DOI

[1285]

F. De Benetti • Y. Yaganeh • C. Belka • S. Corradini • N. Navab • C. Kurz • G. Landry • S. Albarqouni • T. Wendler
CloverNet – Leveraging Planning Annotations for Enhanced Procedural MR Segmentation: An Application to Adaptive Radiation Therapy.
CLIP @MICCAI 2024 - 13th International Workshop on Clinical Image-Based Procedures at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. CLIP @MICCAI 2024 Best Paper Award. DOI

[1284]

D. Daum • R. Osuala • A. Riess • G. Kaissis • J. A. Schnabel • M. Di Folco
On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion Models.
DGM4 @MICCAI 2024 - 4th International Workshop on Deep Generative Models at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI GitHub

[1283]

A. Riess • A. Ziller • S. Kolek • D. Rückert • J. A. Schnabel • G. Kaissis
Complex-Valued Federated Learning with Differential Privacy and MRI Applications.
DeCaF @MICCAI 2024 - 5th Workshop on Distributed, Collaborative and Federated Learning at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI

[1282]

R. Osuala • D. M. Lang • A. Riess • G. Kaissis • Z. Szafranowska • G. Skorupko • O. Diaz • J. A. Schnabel • K. Lekadir
Enhancing the Utility of Privacy-Preserving Cancer Classification Using Synthetic Data.
Deep-Breath @MICCAI 2024 - 1st Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI GitHub

[1281]

Y. Yeganeh • R. Lazuardi • A. Shamseddin • E. Dari • Y. Thirani • N. Navab • A. Farshad
VISAGE: Video Synthesis using Action Graphs for Surgery.
EARTH @MICCAI 2024 - Workshop on Embodied AI and Robotics for HealTHcare at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. EARTH @MICCAI 2024 Best Paper Award. DOI

[1280]

A. Banaszak • A. H. Berger • L. Lux • S. Shit • D. Rückert • J. C. Paetzold
Supervised Contrastive Learning for Image-to-Graph Transformers.
GRAIL @MICCAI 2024 - 6th Workshop on GRaphs in biomedicAl Image anaLysis at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI

[1279]

J. Kiechle • D. M. Lang • S. M. Fischer • L. Felsner • J. C. Peeken • J. A. Schnabel
Graph Neural Networks: A Suitable Alternative to MLPs in Latent 3D Medical Image Classification?
GRAIL @MICCAI 2024 - 6th Workshop on GRaphs in biomedicAl Image anaLysis at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI URL

[1278]

L. Lux • A. H. Berger • M. Romeo-Tricas • M. J. Menten • D. Rückert • J. C. Paetzold
Exploring Graphs as Data Representation for Disease Classification in Ophthalmology.
GRAIL @MICCAI 2024 - 6th Workshop on GRaphs in biomedicAl Image anaLysis at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI URL

[1277]

Ç. Köksal • G. Ghazaei • F. Holm • A. Farshad • N. Navab
SANGRIA: Surgical Video Scene Graph Optimization for Surgical Workflow Prediction.
GRAIL @MICCAI 2024 - 6th Workshop on GRaphs in biomedicAl Image anaLysis at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. GRAIL @MICCAI 2024 Best Paper Award. DOI

[1276]

A. H. Berger • L. Lux • N. Stucki • V. Bürgin • S. Shit • A. Banaszaka • D. Rückert • U. Bauer • J. C. Paetzold
Topologically faithful multi-class segmentation in medical images.
MICCAI 2024 - 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI

[1275]

M. Domínguez • Y. Velikova • N. Navab • M. F. Azampour
Diffusion as Sound Propagation: Physics-Inspired Model for Ultrasound Image Generation.
MICCAI 2024 - 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI GitHub

[1274]

S. M. Fischer • L. Felsner • R. Osuala • J. Kiechle • D. M. Lang • J. C. Peeken • J. A. Schnabel
Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks.
MICCAI 2024 - 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI GitHub

[1273]

Y. Li • I. Yakushev • D. M. Hedderich • C. Wachinger
PASTA: Pathology-Aware MRI to PET Cross-Modal Translation with Diffusion Models.
MICCAI 2024 - 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI GitHub

[1272]

A. Reithmeir • L. Felsner • R. Braren • J. A. Schnabel • V. A. Zimmer
Data-Driven Tissue- and Subject-Specific Elastic Regularization for Medical Image Registration.
MICCAI 2024 - 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI GitHub

[1271]

T. Su • J. Li • X. Zhang • H. Jin • H. Chen • Q. Wang • F. Lv • B. Zhao • Y. Hu
Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training.
MICCAI 2024 - 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI GitHub

[1270]

O. Tmenova • Y. Velikova • M. Saleh • N. Navab
Deep Spectral Methods for Unsupervised Ultrasound Image Interpretation.
MICCAI 2024 - 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI

[1269]

H. Zerouaoui • G. P. Oderinde • R. Lefdali • K. Echihabi • S. P. Akpulu • N. A. Agbon • A. S. Musa • Y. Yeganeh • A. Farshad • N. Navab
AMONuSeg: A Histological Dataset for African Multi-organ Nuclei Semantic Segmentation.
MICCAI 2024 - 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI GitHub

[1268]

E. Özsoy • C. Pellegrini • M. Keicher • N. Navab
ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain Modeling.
MICCAI 2024 - 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. Main Conference Best Paper Runner-up. DOI GitHub

[1267]

J. Li • S. H. Kim • P. Müller • L. Felsner • D. Rückert • B. Wiestler • J. A. Schnabel • C. I. Bercea
Language Models Meet Anomaly Detection for Better Interpretability and Generalizability.
MMMI @MICCAI 2024 - 5th International Workshop on Multiscale Multimodal Medical Imaging at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI GitHub

[1266]

S. Lüpke • Y. Yeganeh • E. Adeli • N. Navab • A. Farshad
Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis.
MMMI @MICCAI 2024 - 5th International Workshop on Multiscale Multimodal Medical Imaging at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI

[1265]

M. Fischer • P. Neher • T. Wald • S. Dias Almeida • S. Xiao • P. J. Schüffler • R. Braren • M. Götz • A. Muckenhuber • J. Kleesiek • M. Nolden • K. Maier-Hein
Learned Image Compression for HE-Stained Histopathological Images via Stain Deconvolution.
MOVI @MICCAI 2024 - 2nd International Workshop on Medical Optical Imaging and Virtual Microscopy Image Analysis at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI GitHub

[1264]

D. Bani-Harouni • N. Navab • M. Keicher
MAGDA: Multi-agent Guideline-Driven Diagnostic Assistance.
MedAGI @MICCAI 2024 - 2nd International Workshop on Foundation Models for General Medical AI at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI

[1263]

D. Grzech • L. Le Folgoc • M. F. Azampour • A. Vlontzos • B. Glocker • N. Navab • J. A. Schnabel • B. Kainz
Unsupervised Similarity Learning for Image Registration with Energy-Based Models.
WBIR @MICCAI 2024 - 11th International Workshop on Biomedical Image Registration at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI

[1262]

B. Jian • J. Pan • M. Ghahremani • D. Rückert • C. Wachinger • B. Wiestler
Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration.
WBIR @MICCAI 2024 - 11th International Workshop on Biomedical Image Registration at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI

[1261]

F. Kögl • A. Reithmeir • V. Sideri-Lampretsa • I. Machado • R. Braren • D. Rückert • J. A. Schnabel • V. A. Zimmer
General Vision Encoder Features as Guidance in Medical Image Registration.
WBIR @MICCAI 2024 - 11th International Workshop on Biomedical Image Registration at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI URL

[1260]

P. O. Schenk • C. Kern
Connecting algorithmic fairness to quality dimensions in machine learning in official statistics and survey production.
AStA Wirtschafts- und Sozialstatistisches Archiv 18. Oct. 2024. DOI

[1259]

J. Rudolph • J. Rueckel • J. Döpfert • W. X. Ling • J. Opalka • C. Brem • N. Hesse • M. Ingenerf • V. Koliogiannis • O. Solyanik • B. F. Hoppe • H. Zimmermann • W. Flatz • R. Forbrig • M. Patzig • B.-S. Rauchmann • R. Perneczky • O. Peters • J. Priller • A. Schneider • K. Fliessbach • A. Hermann • J. Wiltfang • F. Jessen • E. Düzel • K. Buerger • S. Teipel • C. Laske • M. Synofzik • A. Spottke • M. Ewers • P. Dechent • J.-D. Haynes • J. Levin • T. Liebig • J. Ricke • M. Ingrisch • S. Stoecklein
Artificial intelligence–based rapid brain volumetry substantially improves differential diagnosis in dementia.
Alzheimer’s and Dementia 16.e70037. Oct. 2024. DOI

[1258]

J. Gertheiss • D. Rügamer • B. X. Liew • S. Greven
Functional Data Analysis: An Introduction and Recent Developments.
Biometrical Journal 66.7. Oct. 2024. DOI GitHub

[1257]

S. Haas • K. Hegestweiler • M. Rapp • M. Muschalik • E. Hüllermeier
Stakeholder-centric explanations for black-box decisions: an XAI process model and its application to automotive goodwill assessments.
Frontiers in Artificial Intelligence 7. Oct. 2024. DOI

[1256]

Z. Xiong • F. Zhang • Y. Wang • Y. Shi • X. Zhu
EarthNets: Empowering artificial intelligence for Earth observation.
IEEE Geoscience and Remote Sensing Magazine Early Access. Oct. 2024. DOI GitHub

[1255]

M. M. Amin • R. Mao • E. Cambria • B. W. Schuller
A Wide Evaluation of ChatGPT on Affective Computing Tasks.
IEEE Transactions on Affective Computing 15.4. Oct. 2024. DOI

[1254]

Y. Wang • C. M. Albrecht • X. Zhu
Multilabel-Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining.
IEEE Transactions on Geoscience and Remote Sensing 62. Oct. 2024. DOI GitHub

[1253]

M. M. Heimer • Y. Dikhtyar • B. F. Hoppe • F. L. Herr • A. T. Stüber • T. Burkard • E. Zöller • M. P. Fabritius • L. Unterrainer • L. Adams • A. Thurner • D. Kaufmann • T. Trzaska • M. Kopp • O. Hamer • K. Maurer • I. Ristow • M. S. May • A. Tufman • J. Spiro • M. Brendel • M. Ingrisch • J. Ricke • C. C. Cyran
Software-assisted structured reporting and semi-automated TNM classification for NSCLC staging in a multicenter proof of concept study.
Insights into Imaging 15.258. Oct. 2024. DOI

[1252]

S. Gatidis • M. Früh • M. P. Fabritius • S. Gu • K. Nikolaou • C. L. Fougère • J. Ye • J. He • Y. Peng • L. Bi • J. Ma • B. Wang • J. Zhang • Y. Huang • L. Heiliger • Z. Marinov • R. Stiefelhagen • J. Egger • J. Kleesiek • L. Sibille • L. Xiang • S. Bendazzoli • M. Astaraki • M. Ingrisch • C. C. Cyran • T. Küstner
Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging.
Nature Machine Intelligence 6. Oct. 2024. DOI

[1251]

P. Scholl • M. Iskandar • S. Wolf • J. Lee • A. Bacho • A. Dietrich • A. Albu-Schäffer • G. Kutyniok
Learning-based adaption of robotic friction models.
Robotics and Computer-Integrated Manufacturing 89. Oct. 2024. DOI

[1250]

G. Keeling • B. Lange • A. McCroskery • K. Pedersen • D. Weinberger • B. Zevenbergen
Moral Imagination for Engineering Teams: The Technomoral Scenario.
The International Review of Information Ethics 34.1. Oct. 2024. DOI

[1249]

C. Kern • M. P. Kim • A. Zhou
Multi-Accurate CATE is Robust to Unknown Covariate Shifts.
Transactions on Machine Learning Research. Oct. 2024. Certifications: Featured. URL

[1248]

Q. Xu • Y. Shi • J. Bamber • C. Ouyang • X. Zhu
Large-scale flood modeling and forecasting with FloodCast.
Water Research 264. Oct. 2024. DOI

[1247]

V. Blaschke • B. Kovačić • S. Peng • B. Plank
MaiBaam Annotation Guidelines.
Preprint (Oct. 2024). arXiv

[1246]

Q. Chen • X. Wang • P. Mondorf • M. A. Hedderich • B. Plank
Understanding When Tree of Thoughts Succeeds: Larger Models Excel in Generation, Not Discrimination.
Preprint (Oct. 2024). arXiv

[1245]

L. Edman • L. Bylinina • F. Ghorbanpour • A. Fraser
Are BabyLMs Second Language Learners?
Preprint (Oct. 2024). arXiv

[1244]

M. Fornasier • P. Heid • G. Sodini
Approximation Theory, Computing, and Deep Learning on the Wasserstein Space.
Preprint (Oct. 2024). arXiv

[1243]

P. Gassert • M. Althoff
Stepping Out of the Shadows: Reinforcement Learning in Shadow Mode.
Preprint (Oct. 2024). arXiv

[1242]

K. Gatmiry • Z. Li • S. J. Reddi • S. Jegelka
Simplicity Bias via Global Convergence of Sharpness Minimization.
Preprint (Oct. 2024). arXiv

[1241]

K. Gatmiry • N. Saunshi • S. J. Reddi • S. Jegelka • S. Kumar
On the Role of Depth and Looping for In-Context Learning with Task Diversity.
Preprint (Oct. 2024). arXiv

[1240]

Y. Ozyurt • S. Feuerriegel • M. Sachan
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing.
Preprint (Oct. 2024). arXiv

[1239]

Y. Ozyurt • S. Feuerriegel • C. Zhang
Document-Level In-Context Few-Shot Relation Extraction via Pre-Trained Language Models.
Preprint (Oct. 2024). arXiv

[1238]

T. Pielok • B. Bischl • D. Rügamer
Semi-Implicit Variational Inference via Kernelized Path Gradient Descent.
Preprint (Oct. 2024). arXiv

[1237]

T. Putterman • D. Lim • Y. Gelberg • S. Jegelka • H. Maron
Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models.
Preprint (Oct. 2024). arXiv

[1236]

P. Scholl • A. Bacho • H. Boche • G. Kutyniok
Symbolic Recovery of Differential Equations: The Identifiability Problem.
Preprint (Oct. 2024). arXiv

[1235]

T. Schwarz • C. Casolo • N. Kilbertus
Uncertainty-Aware Optimal Treatment Selection for Clinical Time Series.
Preprint (Oct. 2024). arXiv

[1234]

Y. Sun • Z. Wu • Y. Ma • V. Tresp
Quantum Architecture Search with Unsupervised Representation Learning.
Preprint (Oct. 2024). arXiv

[1233]

A. White • A. Büttner • M. Gelbrecht • V. Duruisseaux • N. Kilbertus • F. Hellmann • N. Boers
Projected Neural Differential Equations for Learning Constrained Dynamics.
Preprint (Oct. 2024). arXiv

[1232]

M. Yau • E. Akyürek • J. Mao • J. B. Tenenbaum • S. Jegelka • J. Andreas
Learning Linear Attention in Polynomial Time.
Preprint (Oct. 2024). arXiv

[1231]

F. Chiossi • U. Gruenefeld • B. J. Hou • J. Newn • C. Ou • R. Liao • R. Welsch • S. Mayer
Understanding the Impact of the Reality-Virtuality Continuum on Visual Search Using Fixation-Related Potentials and Eye Tracking Features.
MobileHCI 2024 - ACM International Conference on Mobile Human-Computer Interaction. Melbourne, Australia, Sep 30-Oct 03, 2024. DOI

[1230]

J. W. Grootjen • P. Thallhammer • T. Kosch
Your Eyes on Speed: Using Pupil Dilation to Adaptively Select Speed-Reading Parameters in Virtual Reality.
MobileHCI 2024 - ACM International Conference on Mobile Human-Computer Interaction. Melbourne, Australia, Sep 30-Oct 03, 2024. DOI GitHub

[1229]

Y. Weiss • S. Villa • J. W. Grootjen • M. Hoppe • Y. Kale • F. Müller
Exploring Redirection and Shifting Techniques to Mask Hand Movements from Shoulder-Surfing Attacks during PIN Authentication in Virtual Reality.
MobileHCI 2024 - ACM International Conference on Mobile Human-Computer Interaction. Melbourne, Australia, Sep 30-Oct 03, 2024. DOI

[1228]

M. Windl • M. Schlegel • S. Mayer
Exploring Users’ Mental Models and Privacy Concerns During Interconnected Interactions.
MobileHCI 2024 - ACM International Conference on Mobile Human-Computer Interaction. Melbourne, Australia, Sep 30-Oct 03, 2024. DOI

[1227]

H. Cao • Z. Zhang • Y. Xia • X. Li • J. Xia • G. Chen • A. Knoll
Embracing Events and Frames with Hierarchical Feature Refinement Network for Object Detection.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub

[1226]

A. Christensen • N. Mojab • K. Patel • K. Ahuja • Z. Akata • O. Winther • O. Gonzalez-Franco • A. Colaco
Geometry Fidelity for Spherical Images.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI

[1225]

T. Hannan • M. M. Islam • T. Seidl • G. Bertasius
RGNet: A Unified Clip Retrieval and Grounding Network for Long Videos.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub

[1224]

L. Härenstam-Nielsen • L. Sang • A. Saroha • N. Araslanov • D. Cremers
DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub

[1223]

F. Hoppe • C. M. Verdun • H. Laus • S. Endt • M. I. Menzel • F. Krahmer • H. Rauhut
Imaging with Confidence: Uncertainty Quantification for High-dimensional Undersampled MR Images.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub

[1222]

V. T. Hu • S. A. Baumann • M. Gui • O. Grebenkova • P. Ma • J. S. Fischer • B. Ommer
ZigMa: A DiT-style Zigzag Mamba Diffusion Model.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI

[1221]

W. Huang • Y. Shi • Z. Xiong • X. Zhu
Representation Enhancement-Stabilization: Reducing Bias-Variance of Domain Generalization.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub

[1220]

T. Hummel • S. Karthik • M.-I. Georgescu • Z. Akata
EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub

[1219]

J. M. Kim • J. Bader • S. Alaniz • C. Schmid • Z. Akata
DataDream: Few-shot Guided Dataset Generation.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub

[1218]

D. Kotovenko • O. Grebenkova • N. Sarafianos • A. Paliwal • P. Ma • O. Poursaeed • S. Mohan • Y. Fan • Y. Li • R. Ranjan • B. Ommer
WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub

[1217]

B. Liao • Z. Zhao • L. Chen • H. Li • D. Cremers • P. Liu
GlobalPointer: Large-Scale Plane Adjustment with Bi-Convex Relaxation.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub

[1216]

M. Mahajan • F. Hofherr • D. Cremers
MeshFeat: Multi-Resolution Features for Neural Fields on Meshes.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI

[1215]

Y. Mansour • X. Zhong • S. Caglar • R. Heckel
TTT-MIM: Test-Time Training with Masked Image Modeling for Denoising Distribution Shifts.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub

[1214]

P. Müller • G. Kaissis • D. Rückert
ChEX: Interactive Localization and Region Description in Chest X-rays.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub

[1213]

K. R. Park • H. J. Lee • J. U. Kim
Learning Trimodal Relation for Audio-Visual Question Answering with Missing Modality.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub

[1212]

N. Stracke • S. A. Baumann • J. M. Susskind • M. A. Bautista • B. Ommer
CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control and Altering of T2I Models.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub

[1211]

S. R. Vutukur • R. L. Haugaard • J. Huang • B. Busam • T. Birdal
Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI

[1210]

Y. Wang • C. M. Albrecht • N. A. A. Braham • C. Liu • Z. Xiong • X. Zhu
Decoupling Common and Unique Representations for Multimodal Self-supervised Learning.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub

[1209]

S. Weber • J. H. Hong • D. Cremers
Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI

[1208]

Q. Wu • Y. Xia • J. Wan • A. B. Chan
Boosting 3D Single Object Tracking with 2D Matching Distillation and 3D Pre-training.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI

[1207]

L. Yang • L. Hoyer • M. Weber • T. Fischer • D. Dai • L. Leal-Taixé • D. Cremers • M. Pollefeys • L. Van Gool
MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub

[1206]

G. Zhai • E. P. Örnek • D. Z. Chen • R. Liao • Y. Di • N. Navab • F. Tombari • B. Busam
EchoScene: Indoor Scene Generation via Information Echo over Scene Graph Diffusion.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI

[1205]

J. S. Fischer • M. Gui • P. Ma • N. Stracke • S. A. Baumann • B. Ommer
FMBoost: Boosting Latent Diffusion with Flow Matching.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. Oral Presentation. DOI

[1204]

F. Stilz • M. Karaoglu • F. Tristram • N. Navab • B. Busam • A. Ladikos
Progressive Optimization of Camera Pose and 4D Radiance Fields for long Endoscopic Videos.
NeuralBCC @ECCV 2024 - 1st Workshop on Neural Fields Beyond Conventional Cameras at the 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. PDF

[1203]

M. Wysocki • M. F. Azampour • F. Tristram • B. Busam • N. Navab
Beyond Ultra-NeRF: Explainable Neural Fields for Ultrasound.
NeuralBCC @ECCV 2024 - 1st Workshop on Neural Fields Beyond Conventional Cameras at the 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. URL

[1202]

D. Komorowicz • L. Sang • F. Maiwald • D. Cremers
Coloring the Past: Neural Historical Monuments Reconstruction from Archival Photography.
Wild3D @ECCV 2024 - Workshop 3D Modeling, Reconstruction, and Generation in the Wild at the 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. URL

[1201]

L. Sang • M. Gao • A. Saroha • D. Cremers
Enhancing Surface Neural Implicits with Curvature-Guided Sampling and Uncertainty-Augmented Representations.
Wild3D @ECCV 2024 - Workshop 3D Modeling, Reconstruction, and Generation in the Wild at the 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. URL

[1200]

P. Jahoda • Y. Yeganeh • E. Adeli • N. Navab • A. Farshad
PRISM: Progressive Restoration for Scene Graph-Based Image Manipulation.
Workshop @ECCV 2024 - Computer Vision Workshop at the 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI

[1199]

S. R. Vutukur • M. Ba • B. Busam • M. Kayser • G. Singh
SABER-6D: Shape Representation Based Implicit Object Pose Estimation.
Workshop @ECCV 2024 - Computer Vision Workshop at the 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI

[1198]

K. Riedl
Mathematical Foundations of Interacting Multi-Particle Systems for Optimization.
Dissertation TU München. Sep. 2024. URL

[1197]

F. Hoppe • C. M. Verdun • F. Krahmer • M. I. Menzel • H. Rauhut
With or Without Replacement? Improving Confidence in Fourier Imaging.
CoSeRa 2024 - International Workshop on the Theory of Computational Sensing and its Applications to Radar, Multimodal Sensing and Imaging. Santiago de Compostela, Spain, Sep 18-20, 2024. DOI

[1196]

F. P. Patricio • P. Catala • F. Krahmer
Noisy Recovery in Unlimited Sampling via Adaptive Modulo Representations.
CoSeRa 2024 - International Workshop on the Theory of Computational Sensing and its Applications to Radar, Multimodal Sensing and Imaging. Santiago de Compostela, Spain, Sep 18-20, 2024. DOI

[1195]

P. Römer • F. Krahmer
A one-bit quantization approach for low-dose Poisson phase retrieval.
CoSeRa 2024 - International Workshop on the Theory of Computational Sensing and its Applications to Radar, Multimodal Sensing and Imaging. Santiago de Compostela, Spain, Sep 18-20, 2024. DOI

[1194]

M. M. Amin • B. W. Schuller
On Prompt Sensitivity of ChatGPT in Affective Computing.
ACII 2024 - 12th International Conference on Affective Computing and Intelligent Interaction. Glasgow, UK, Sep 15-18, 2024. DOI

[1193]

Y. Liang • O. Zadorozhnyi • M. Drton
Kernel-Based Differentiable Learning of Non-Parametric Directed Acyclic Graphical Models.
PGM 2024 - 12th International Conference on Probabilistic Graphical Models. Nijmegen, The Netherlands, Sep 11-13, 2024. URL

[1192]

D. Strieder • M. Drton
Identifying Total Causal Effects in Linear Models under Partial Homoscedasticity.
PGM 2024 - 12th International Conference on Probabilistic Graphical Models. Nijmegen, The Netherlands, Sep 11-13, 2024. URL

[1191]

M. C. da Silva • B. Licari • G. M. Tavares • S. Barbon Junior
Benchmarking AutoML Clustering Frameworks.
AutoML 2024 - ABCD Track - Track on Applications, Benchmarks, Challenges, and Datasets at the International Conference on Automated Machine Learning. Paris, France, Sep 09-12, 2024. URL

[1190]

H. Baniecki • G. Casalicchio • B. Bischl • P. Biecek
On the Robustness of Global Feature Effect Explanations.
ECML-PKDD 2024 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Vilnius, Lithuania, Sep 09-13, 2024. DOI

[1189]

C. Damke • E. Hüllermeier
CUQ-GNN: Committee-Based Graph Uncertainty Quantification Using Posterior Networks.
ECML-PKDD 2024 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Vilnius, Lithuania, Sep 09-13, 2024. DOI

[1188]

R. Fischer • M. Wever • S. Buschjäger • T. Liebig
MetaQuRe: Meta-learning from Model Quality and Resource Consumption.
ECML-PKDD 2024 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Vilnius, Lithuania, Sep 09-13, 2024. DOI

[1187]

S. Gilhuber • A. Beer • Y. Ma • T. Seidl
FALCUN: A Simple and Efficient Deep Active Learning Strategy.
ECML-PKDD 2024 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Vilnius, Lithuania, Sep 09-13, 2024. DOI

[1186]

P. Jahn • C. M. M. Frey • A. Beer • C. Leiber • T. Seidl
Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms.
ECML-PKDD 2024 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Vilnius, Lithuania, Sep 09-13, 2024. DOI GitHub

[1185]

Y. Liu • E. Nie • S. Feng • Z. Hua • Z. Ding • D. Wang • Y. Zhang • H. Schütze
A Unified Data Augmentation Framework for Low-Resource Multi-Domain Dialogue Generation.
ECML-PKDD 2024 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Vilnius, Lithuania, Sep 09-13, 2024. DOI GitHub

[1184]

F. Stermann • I. Chalkidis • A. Vahidi • B. Bischl • M. Rezaei
Attention-Driven Dropout: A Simple Method to Improve Self-supervised Contrastive Sentence Embeddings.
ECML-PKDD 2024 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Vilnius, Lithuania, Sep 09-13, 2024. DOI

[1183]

A. Vahidi • L. Wimmer • H. A. Gündüz • B. Bischl • E. Hüllermeier • M. Rezaei
Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning.
ECML-PKDD 2024 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Vilnius, Lithuania, Sep 09-13, 2024. DOI

[1182]

B. Chocholaty • C. Leiber • S. Marburg
Effects of similarity measures and assignment methods on mode pairing for the application of timber plates.
ISMA 2024 - 31st International Conference on Noise and Vibration Engineering. KU Leuven, Belgium, Sep 09-11, 2024. URL

[1181]

M. Muschalik • F. Fumagalli • B. Hammer • E. Hüllermeier
Explaining Change in Models and Data with Global Feature Importance and Effects.
TempXAI @ECML-PKDD 2024 - Tutorial-Workshop Explainable AI for Time Series and Data Streams at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Vilnius, Lithuania, Sep 09-13, 2024. PDF

[1180]

C. Geldhauser • K. Malyshev
Semi-automatic annotation of Greek majuscule manuscripts: Steps towards integrated transcription and annotation.
FedCSIS 2024 - 19th Conference on Computer Science and Intelligence Systems. Belgrade, Serbia, Sep 08-11, 2024. DOI

[1179]

L. Haliburton • J. Leusmann • R. Welsch • S. Ghebremedhin • P. Isaakidis • A. Schmidt • S. Mayer
Uncovering labeler bias in machine learning annotation tasks.
AI and Ethics 5.3. Sep. 2024. DOI

[1178]

A. Maldonado • C. M. M. Frey • G. M. Tavares • N. Rehwald • T. Seidl
GEDI: Generating Event Data with Intentional Features for Benchmarking Process Mining.
BPM 2024 - 22nd International Conference on Business Process Management. Krakow, Poland, Sep 01-06, 2024. DOI

[1177]

R. S. Oyamada • G. M. Tavares • S. B. Junior • P. Ceravolo
CoSMo: A Framework to Instantiate Conditioned Process Simulation Models.
BPM 2024 - 22nd International Conference on Business Process Management. Krakow, Poland, Sep 01-06, 2024. DOI

[1176]

C. Molnar • G. König • B. Bischl • G. Casalicchio
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach.
Data Mining and Knowledge Discovery 38. Sep. 2024. DOI

[1175]

L. Barreñada • P. Dhiman • D. Timmerman • A.-L. Boulesteix • B. Van Calster
Understanding overfitting in random forest for probability estimation: a visualization and simulation study.
Diagnostic and Prognostic Research 8.14. Sep. 2024. DOI

[1174]

Y. Li • T. Herold • U. Mansmann • R. Hornung
Does combining numerous data types in multi-omics data improve or hinder performance in survival prediction? Insights from a large-scale benchmark study.
Earth System Science Data 24.244. Sep. 2024. DOI

[1173]

W. Jiang • M. Windl • B. Tag • Z. Sarsenbayeva • S. Mayer
An Immersive and Interactive VR Dataset to Elicit Emotions.
IEEE Transactions on Visualization and Computer Graphics 30.11. Sep. 2024. DOI

[1172]

S. Amiriparian • F. Packań • M. Gerczuk • B. W. Schuller
ExHuBERT: Enhancing HuBERT Through Block Extension and Fine-Tuning on 37 Emotion Datasets.
INTERSPEECH 2024 - 25th Annual Conference of the International Speech Communication Association. Kos Island, Greece, Sep 01-05, 2024. DOI

[1171]

L. Christ • S. Amiriparian • F. Hawighorst • A.-K. Schill • A. Boutalikakis • L. Graf-Vlachy • A. König • B. W. Schuller
This Paper Had the Smartest Reviewers -- Flattery Detection Utilising an Audio-Textual Transformer-Based Approach.
INTERSPEECH 2024 - 25th Annual Conference of the International Speech Communication Association. Kos Island, Greece, Sep 01-05, 2024. DOI

[1170]

M. Gerczuk • S. Amiriparian • J. Lutz • W. Strube • I. Papazova • A. Hasan • B. W. Schuller
Exploring Gender-Specific Speech Patterns in Automatic Suicide Risk Assessment.
INTERSPEECH 2024 - 25th Annual Conference of the International Speech Communication Association. Kos Island, Greece, Sep 01-05, 2024. DOI

[1169]

S. Kalabakov • M. Gonzalez-Machorro • F. Eyben • B. W. Schuller • B. Arnrich
A Comparative Analysis of Federated Learning for Speech-Based Cognitive Decline Detection.
INTERSPEECH 2024 - 25th Annual Conference of the International Speech Communication Association. Kos Island, Greece, Sep 01-05, 2024. PDF

[1168]

A. Kathan • M. Bürger • A. Triantafyllopoulos • S. Milkus • R. Musil • B. W. Schuller • S. Amiriparian
Real-world PTSD Recognition: A Cross-corpus and Cross-linguistic Evaluation.
INTERSPEECH 2024 - 25th Annual Conference of the International Speech Communication Association. Kos Island, Greece, Sep 01-05, 2024. DOI

[1167]

O. Schrüfer • M. Milling • F. Burkhardt • F. Eyben • B. W. Schuller
Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition.
INTERSPEECH 2024 - 25th Annual Conference of the International Speech Communication Association. Kos Island, Greece, Sep 01-05, 2024. PDF

[1166]

A. Spiesberger • A. Triantafyllopoulos • A. Kathan • A. Semertzidou • C. Gawrilow • T. Reinelt • W. Rauch • B. W. Schuller
'So... my child...' -- How Child ADHD Influences the Way Parents Talk.
INTERSPEECH 2024 - 25th Annual Conference of the International Speech Communication Association. Kos Island, Greece, Sep 01-05, 2024. PDF

[1165]

A. Triantafyllopoulos • A. Batliner • S. Rampp • M. Milling • B. W. Schuller
INTERSPEECH 2009 Emotion Challenge Revisited: Benchmarking 15 Years of Progress in Speech Emotion Recognition.
INTERSPEECH 2024 - 25th Annual Conference of the International Speech Communication Association. Kos Island, Greece, Sep 01-05, 2024. DOI

[1164]

A. Triantafyllopoulos • B. W. Schuller
Enrolment-based personalisation for improving individual-level fairness in speech emotion recognition.
INTERSPEECH 2024 - 25th Annual Conference of the International Speech Communication Association. Kos Island, Greece, Sep 01-05, 2024. PDF

[1163]

A. Triantafyllopoulos • L. Christ • A. Gebhard • X. Jing • A. Kathan • M. Milling • I. Tsangko • S. Amiriparian • B. W. Schuller
Beyond deep learning: Charting the next frontiers of affective computing.
Intelligent Computing 3.0089. Sep. 2024. DOI

[1162]

M. Milling • S. Liu • A. Triantafyllopoulos • I. Aslan • B. W. Schuller
Audio Enhancement for Computer Audition -- An Iterative Training Paradigm Using Sample Importance.
Journal of Computer Science and Technology 39. Sep. 2024. DOI

[1161]

E. Eulig • B. Ommer • M. Kachelrieß
Benchmarking deep learning-based low-dose CT image denoising algorithms.
Medical Physics 51. Sep. 2024. DOI

[1160]

B. Clarke • E. Holtkamp • H. Öztürk • M. Mück • M. Wahlberg • K. Meyer • F. Munzlinger • F. Brechtmann • F. R. Hölzlwimmer • J. Lindner • Z. Chen • J. Gagneur • O. Stegle
Integration of variant annotations using deep set networks boosts rare variant association testing.
Nature Genetics 56. Sep. 2024. DOI

[1159]

H. J. Coyle-Asbil • L. Burk • M. Brandes • B. Brandes • C. Buck • M. N. Wright • L. A. Vallis
Energy Expenditure Prediction in Preschool Children: A Machine Learning Approach Using Accelerometry and External Validation.
Physiological Measurement 45.9. Sep. 2024. DOI

[1158]

O. Hahn • N. Araslanov • S. Schaub-Meyer • S. Roth
Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals.
Transactions on Machine Learning Research. Sep. 2024. URL GitHub

[1157]

P. Kolpaczki • E. Hüllermeier • V. Bengs
Piecewise-Stationary Dueling Bandits.
Transactions on Machine Learning Research. Sep. 2024. URL

[1156]

D. Tschernutter • M. Kraus • S. Feuerriegel
A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions.
Transactions on Machine Learning Research. Sep. 2024. URL

[1155]

C. Janke • R. Rubio-Acero • M. Weigert • C. Reinkemeyer • Y. Khazaei • L. Kleinlein • R. Le Gleut • K. Radon • M. Hannes • F. Picasso • A. E. Lucke • M. Plank • I. C. Kotta • I. Paunovic • A. Zhelyazkova • I. Noreña • S. Winter • M. Hoelscher • A. Wieser • H. Küchenhoff • N. Castelletti • o. b. o. t. ORCHESTRA Working Group
Understanding the Omicron Variant Impact in Healthcare Workers: Insights from the Prospective COVID-19 Post-Immunization Serological Cohort in Munich (KoCo-Impf) on Risk Factors for Breakthrough and Reinfections.
Viruses 16.10. Sep. 2024. DOI

[1154]

A. Bashardoust • Y. Feng • D. Geißler • S. Feuerriegel • Y. R. Shrestha
The Effect of Education in Prompt Engineering: Evidence from Journalists.
Preprint (Sep. 2024). arXiv

[1153]

M. C. da Silva • G. M. Tavares • E. Medvet • S. Barbon Junior
Problem-oriented AutoML in Clustering.
Preprint (Sep. 2024). arXiv

[1152]

R. Hornung • A. Hapfelmeier
Multi forests: Variable importance for multi-class outcomes.
Preprint (Sep. 2024). arXiv

[1151]

S. Ji • Z. Li • I. Paul • J. Paavola • P. Lin • P. Chen • D. O'Brien • H. Luo • H. Schütze • J. Tiedemann • B. Haddow
EMMA-500: Enhancing Massively Multilingual Adaptation of Large Language Models.
Preprint (Sep. 2024). arXiv

[1150]

Y. Ma • A. Li • Q. Khan • D. Cremers
Enhancing the Performance of Multi-Vehicle Navigation in Unstructured Environments using Hard Sample Mining.
Preprint (Sep. 2024). arXiv GitHub

[1149]

B. W. Schuller • A. Mallol-Ragolta • A. P. Almansa • I. Tsangko • M. M. Amin • A. Semertzidou • L. Christ • S. Amiriparian
Affective Computing Has Changed: The Foundation Model Disruption.
Preprint (Sep. 2024). arXiv

[1148]

A. Stephan • D. Zhu • M. Aßenmacher • X. Shen • B. Roth
From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning Tasks.
Preprint (Sep. 2024). arXiv

[1147]

L. von der Heyde • A.-C. Haensch • A. Wenz • B. Ma
United in Diversity? Contextual Biases in LLM-Based Predictions of the 2024 European Parliament Elections.
Preprint (Sep. 2024). arXiv

[1146]

Ç. Yapar • R. Levie • G. Kutyniok • G. Caire
Dataset of Pathloss and ToA Radio Maps With Localization Application.
Preprint (Sep. 2024). arXiv

[1145]

A. Triantafyllopoulos • A. Gebhard • M. Milling • S. Rampp • B. W. Schuller
An Automatic Analysis of Ultrasound Vocalisations for the Prediction of Interaction Context in Captive Egyptian Fruit Bats.
EUSIPCO 2024 - 32nd European Signal Processing Conference. Lyon, France, Aug 26-30, 2024. DOI

[1144]

T. Decker • A. Koebler • M. Lebacher • I. Thon • V. Tresp • F. Buettner
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance.
KDD 2024 - 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Barcelona, Spain, Aug 25-29, 2024. DOI

[1143]

M. Kuzmanovic • D. Frauen • T. Hatt • S. Feuerriegel
Causal Machine Learning for Cost-Effective Allocation of Development Aid.
KDD 2024 - 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Barcelona, Spain, Aug 25-29, 2024. DOI

[1142]

S. Urchs • V. Thurner • M. Aßenmacher • C. Heumann • S. Thiemichen
Detecting Gender Discrimination on Actor Level Using Linguistic Discourse Analysis.
GeBNLP 2024 - 5th Workshop on Gender Bias in Natural Language Processing. Bangkok, Thailand, Aug 16, 2024. URL

[1141]

V. Blaschke • C. Purschke • H. Schütze • B. Plank
What Do Dialect Speakers Want? A Survey of Attitudes Towards Language Technology for German Dialects.
ACL 2024 - 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[1140]

A. H. Kargaran • F. Yvon • H. Schütze
MaskLID: Code-Switching Language Identification through Iterative Masking.
ACL 2024 - 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI GitHub

[1139]

T. Liu • I. Škrjanec • V. Demberg
Temperature-scaling surprisal estimates improve fit to human reading times – but does it do so for the 'right reasons'?
ACL 2024 - 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[1138]

Y. Liu • C. Ma • H. Ye • H. Schütze
TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models.
ACL 2024 - 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[1137]

P. Mondorf • B. Plank
Comparing Inferential Strategies of Humans and Large Language Models in Deductive Reasoning.
ACL 2024 - 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[1136]

L. K. Senel • B. Fetahu • D. Yoshida • Z. Chen • G. Castellucci • N. Vedula • J. I. Choi • S. Malmasi
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers.
ACL 2024 - 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[1135]

C. Tomani • D. Vilar • M. Freitag • C. Cherry • S. Naskar • M. Finkelstein • X. Garcia • D. Cremers
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model.
ACL 2024 - 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[1134]

L. Weber-Genzel • S. Peng • M.-C. De Marneffe • B. Plank
VariErr NLI: Separating Annotation Error from Human Label Variation.
ACL 2024 - 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[1133]

S. Xu • S. T.y.s.s • O. Ichim • B. Plank • M. Grabmair
Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification.
ACL 2024 - 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[1132]

B. Ma
Evaluating Lexical Aspect with Large Language Models.
CMCL @ACL 2024 - Workshop on Cognitive Modeling and Computational Linguistics at the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[1131]

A. Dimmelmeier • H. Doll • M. Schierholz • E. Kormanyos • M. Fehr • B. Ma • J. Beck • A. Fraser • F. Kreuter
Informing climate risk analysis using textual information - A research agenda.
ClimateNLP @ACL 2024 - 1st Workshop on Natural Language Processing Meets Climate Change at the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[1130]

S. Zhou • S. Peng • B. Plank
CLIMATELI: Evaluating Entity Linking on Climate Change Data.
ClimateNLP @ACL 2024 - 1st Workshop on Natural Language Processing Meets Climate Change at the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[1129]

L. Thede • K. Roth • O. J. Hénaff • M. Bethge • Z. Akata
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models.
CoLLAs 2024 - 3rd Conference on Lifelong Learning Agents. Pisa, Italy, Aug 11-14, 2024. URL

[1128]

L. Christ • S. Amiriparian • M. Milling • I. Aslan • B. W. Schuller
Modeling Emotional Trajectories in Written Stories Utilizing Transformers and Weakly-Supervised Learning.
Findings @ACL 2024 - Findings of the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[1127]

K. Hämmerl • J. Libovický • A. Fraser
Understanding Cross-Lingual Alignment—A Survey.
Findings @ACL 2024 - Findings of the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[1126]

W. Lai • M. Mesgar • A. Fraser
LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback.
Findings @ACL 2024 - Findings of the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[1125]

A. Maarouf • D. Bär • D. Geißler • S. Feuerriegel
HQP: A human-annotated dataset for detecting online propaganda.
Findings @ACL 2024 - Findings of the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[1124]

X. Wang • B. Ma • C. Hu • L. Weber-Genzel • P. Röttger • F. Kreuter • D. Hovy • B. Plank
My Answer is C: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models.
Findings @ACL 2024 - Findings of the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[1123]

P. Wicke • L. Wachowiak
Exploring Spatial Schemas in Large Language Models.
Findings @ACL 2024 - Findings of the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI GitHub

[1122]

S. Yuan • E. Nie • M. Färber • H. Schmid • H. Schütze
GNNAVI: Navigating the Information Flow in Large Language Models by Graph Neural Network.
Findings @ACL 2024 - Findings of the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[1121]

M. Zhang • V. Gautam • M. Wang • J. Alabi • X. Shen • D. Klakow • M. Mosbach
The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis.
Findings @ACL 2024 - Findings of the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[1120]

J. Pavlopoulos • V. Kougia • E. Garces Arias • P. Platanou • S. Shabalin • K. Liagkou • E. Papadatos • H. Essler • J.-B. Camps • F. Fischer
Challenging Error Correction in Recognised Byzantine Greek.
ML4AL @ACL 2024 - 1st Workshop on Machine Learning for Ancient Languages at the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[1119]

A. Yüksel • A. Köksal • L. K. Senel • A. Korhonen • H. Schütze
TurkishMMLU: Measuring Massive Multitask Language Understanding in Turkish.
SIGTURK @ACL 2024 - 1st Workshop on Natural Language Processing for Turkic Languages at the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. Invited talk. arXiv GitHub

[1118]

M. Windl • J. Leusmann • A. Schmidt • S. S. Feger • S. Mayer
Privacy Communication Patterns for Domestic Robots.
SOUPS 2024 - 20th Symposium on Usable Privacy and Security. Philadelphia, PA, USA, Aug 11-13, 2024. URL

[1117]

M. Aßenmacher • A. Stephan • L. Weissweiler • E. Çano • I. Ziegler • M. Härttrich • B. Bischl • B. Roth • C. Heumann • H. Schütze
Collaborative Development of Modular Open Source Educational Resources for Natural Language Processing.
TeachingNLP @ACL 2024 - 6th Workshop on Teaching NLP at the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. URL

[1116]

P. Wicke • L. Hirlimann • J. M. Cunha
Using Analogical Reasoning to Prompt LLMs for their Intuitions of Abstract Spatial Schemas.
Analogy-ANGLE 2024 @IJCAI 2024 - 1st Workshop on Analogical Abstraction in Cognition, Perception, and Languageat the 33rd International Joint Conference on Artificial Intelligence. Jeju, Korea, Aug 03-09, 2024. PDF

[1115]

J. Brandt • M. Wever • V. Bengs • E. Hüllermeier
Best Arm Identification with Retroactively Increased Sampling Budget for More Resource-Efficient HPO.
IJCAI 2024 - 33rd International Joint Conference on Artificial Intelligence. Jeju, Korea, Aug 03-09, 2024. DOI

[1114]

J. G. Wiese • L. Wimmer • T. Papamarkou • B. Bischl • S. Günnemann • D. Rügamer
Towards Efficient Posterior Sampling in Deep Neural Networks via Symmetry Removal (Extended Abstract).
IJCAI 2024 - 33rd International Joint Conference on Artificial Intelligence. Jeju, Korea, Aug 03-09, 2024. DOI

[1113]

L. Bothmann • K. Peters
Fairness als Qualitätskriterium im Maschinellen Lernen – Rekonstruktion des philosophischen Konzepts und Implikationen für die Nutzung außergesetzlicher Merkmale bei qualifizierten Mietspiegeln.
AStA Wirtschafts- und Sozialstatistisches Archiv 18. Aug. 2024. DOI

[1112]

D. Schalk • R. Rehms • V. S. Hoffmann • B. Bischl • U. Mansmann
Distributed non-disclosive validation of predictive models by a modified ROC-GLM.
BMC Medical Research Methodology 24.190. Aug. 2024. DOI

[1111]

F. Drost • E. Dorigatti • A. Straub • P. Hilgendorf • K. I. Wagner • K. Heyer • M. López Montes • B. Bischl • D. H. Busch • K. Schober • B. Schubert
Predicting T cell receptor functionality against mutant epitopes.
Cell Genomics 4.9. Aug. 2024. DOI

[1110]

A. Mittermeier • M. Aßenmacher • B. Schachtner • S. Grosu • V. Dakovic • V. Kandratovich • B. Sabel • M. Ingrisch
Automatische ICD-10-Codierung.
Die Radiologie 64. Aug. 2024. DOI

[1109]

Z. Ren • Y. Chang • T. T. Nguyen • Y. Tan • K. Qian • B. W. Schuller
A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era.
IEEE Computational Intelligence Magazine 19.3. Aug. 2024. DOI

[1108]

J. Naumann • B. Xu • S. Leutenegger • X. Zuo
NeRF-VO: Real-Time Sparse Visual Odometry With Neural Radiance Fields.
IEEE Robotics and Automation Letters 9.8. Aug. 2024. DOI

[1107]

K. Heidler • I. Nitze • G. Grosse • X. Zhu
PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances in the Arctic.
IEEE Transactions on Geoscience and Remote Sensing 62. Aug. 2024. DOI

[1106]

F. Xu • Y. • W. Yang • G.-S. Xia • X. Zhu
CloudSeg: A multi-modal learning framework for robust land cover mapping under cloudy conditions.
ISPRS Journal of Photogrammetry and Remote Sensing 214. Aug. 2024. DOI GitHub

[1105]

S. Heid • J. Hanselle • J. Fürnkranz • E. Hüllermeier
Learning decision catalogues for situated decision making: The case of scoring systems.
International Journal of Approximate Reasoning 171. Aug. 2024. DOI

[1104]

C. Geldhauser • M. Herrmann • D. Janßen
Traveling Phase Interfaces in Viscous Forward–Backward Diffusion Equations.
Journal of Dynamics and Differential Equations. Aug. 2024. DOI

[1103]

F. Ott • L. Heublein • D. Rügamer • B. Bischl • C. Mutschler
Fusing structure from motion and simulation-augmented pose regression from optical flow for challenging indoor environments.
Journal of Visual Communication and Image Representation 103. Aug. 2024. DOI

[1102]

A. Szałata • K. Hrovatin • S. Becker • A. Tejada-Lapuerta • H. Cui • B. Wang • F. J. Theis
Transformers in single-cell omics: a review and new perspectives.
Nature Methods 21. Aug. 2024. DOI

[1101]

R. Klaar • M. Rabe • A. T. Stüber • S. Hering • S. Corradini • C. Eze • S. Marschner • C. Belka • G. Landry • J. Dinkel • C. Kurz
MRI-based ventilation and perfusion imaging to predict radiation-induced pneumonitis in lung tumor patients at a 0.35T MR-Linac.
Radiotherapy and Oncology. Aug. 2024. DOI

[1100]

J. Eudaric • H. Kreibich • A. Camero • K. R. Shahi • S. Martinis • X. Zhu
A satellite imagery-driven framework for rapid resource allocation in flood scenarios to enhance loss and damage fund effectiveness.
Scientific Reports 14.19290. Aug. 2024. DOI

[1099]

A. C. Erdur • D. Rusche • D. Scholz • J. Kiechle • S. Fischer • Ó. Llorián-Salvador • J. A. Buchner • M. Q. Nguyen • L. Etzel • J. Weidner • M.-C. Metz • B. Wiestler • J. A. Schnabel • D. Rückert • S. E. Combs • J. C. Peeken
Deep learning for autosegmentation for radiotherapy treatment planning: State-of-the-art and novel perspectives.
Strahlentherapie und Onkologie 201. Aug. 2024. DOI GitHub

[1098]

E. Bergman • M. Feurer • A. Bahram • A. R. Balef • L. Purucker • S. Segel • M. Lindauer • F. Hutter • K. Eggensperger
AMLTK: A Modular AutoML Toolkit in Python.
The Journal of Open Source Software 9.100. Aug. 2024. DOI

[1097]

D. Usynin • M. Knolle • G. Kaissis
Memorisation in Machine Learning: A Survey of Results.
Transactions on Machine Learning Research. Aug. 2024. URL

[1096]

R. Baptista • B. Liew • S. Pizzocaro • X. Zhai • S. Galasso • D. Rügamer • T. Waterkeyn • I. Boukhennoufa • X. Zhu • A. M. Nunzio
Motion Analysis in Neurological Rehabilitation: From the Lab to the Clinic.
Translational Neurorehabilitation. Aug. 2024. DOI

[1095]

D. Schkoda • E. Robeva • M. Drton
Causal Discovery of Linear Non-Gaussian Causal Models with Unobserved Confounding.
Preprint (Aug. 2024). arXiv

[1094]

L. Haliburton
Designing behavior change technologies for workplace wellbeing.
Dissertation LMU München. Jul. 2024. DOI

[1093]

L. Bothmann • K. Peters • S. Dandl • M. Schomaker • B. Bischl
Causal Fair Machine Learning.
Statistical Computing 2024 - 54. Arbeitstagung der Arbeitsgruppen Statistical Computing, Klassifikation und Datenanalyse in den Biowissenschaften. Günzburg, Germany, Jul 28-31, 2024. PDF

[1092]

L. Burk • J. Zobolas • B. Bischl • A. Bender • M. N. Wright • R. Sonabend
A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional Data.
Statistical Computing 2024 - 54. Arbeitstagung der Arbeitsgruppen Statistical Computing, Klassifikation und Datenanalyse in den Biowissenschaften. Günzburg, Germany, Jul 28-31, 2024. PDF

[1091]

M. Herrmann
Dimensionality and Distance: Curse or Blessing? Geometrical Aspects of Nearest Neighbor Computation in High-Dimensional Data.
Statistical Computing 2024 - 54. Arbeitstagung der Arbeitsgruppen Statistical Computing, Klassifikation und Datenanalyse in den Biowissenschaften. Günzburg, Germany, Jul 28-31, 2024. PDF

[1090]

M. Dani • M. J. Prakash • Z. Akata • S. Liebe
SemioLLM: Assessing Large Language Models for Semiological Analysis in Epilepsy Research.
AI4Science @ICML 2024 - AI for Science Workshop at the 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL

[1089]

P. Foth • L. Gosch • S. Geisler • L. Schwinn • S. Günnemann
Relaxing Graph Transformers for Adversarial Attacks.
Differentiable Almost Everything @ICML 2024 - Workshop Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators at the 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. PDF

[1088]

Y. Sun • J. Liu • Z. Wu • Z. Ding • Y. Ma • T. Seidl • V. Tresp
SA-DQAS: Self-attention Enhanced Differentiable Quantum Architecture Search.
Differentiable Almost Everything @ICML 2024 - Workshop Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators at the 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. PDF

[1087]

M. Bini • K. Roth • Z. Akata • A. Khoreva
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL GitHub

[1086]

K. Bouchiat • A. Immer • H. Yèche • G. Ratsch • V. Fortuin
Improving Neural Additive Models with Bayesian Principles.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL

[1085]

T. Decker • A. R. Bhattarai • J. Gu • V. Tresp • F. Buettner
Provably Better Explanations with Optimized Aggregation of Feature Attributions.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL

[1084]

S. Eckman • B. Plank • F. Kreuter
Position: Insights from Survey Methodology can Improve Training Data.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL

[1083]

D. Frauen • V. Melnychuk • S. Feuerriegel
Fair Off-Policy Learning from Observational Data.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL

[1082]

F. Fumagalli • M. Muschalik • P. Kolpaczki • E. Hüllermeier • B. Hammer
KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL

[1081]

M. Herrmann • F. J. D. Lange • K. Eggensperger • G. Casalicchio • M. Wever • M. Feurer • D. Rügamer • E. Hüllermeier • A.-L. Boulesteix • B. Bischl
Position: Why We Must Rethink Empirical Research in Machine Learning.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL

[1080]

G. Kaissis • S. Kolek • B. Balle • J. Hayes • D. Rückert
Beyond the Calibration Point: Mechanism Comparison in Differential Privacy.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL

[1079]

F. Karl • M. Kemeter • G. Dax • P. Sierak
Position: Embracing Negative Results in Machine Learning.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL

[1078]

M. Lindauer • F. Karl • A. Klier • J. Moosbauer • A. Tornede • A. C. Mueller • F. Hutter • M. Feurer • B. Bischl
Position: A Call to Action for a Human-Centered AutoML Paradigm.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL

[1077]

T. Papamarkou • M. Skoularidou • K. Palla • L. Aitchison • J. Arbel • D. Dunson • M. Filippone • V. Fortuin • P. Hennig • J. M. Hernández-Lobato • A. Hubin • A. Immer • T. Karaletsos • M. E. Khan • A. Kristiadi • Y. Li • S. Mandt • C. Nemeth • M. A. Osborne • T. G. J. Rudner • D. Rügamer • Y. W. Teh • M. Welling • A. G. Wilson • R. Zhang
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL

[1076]

D. Rügamer • C. Kolb • T. Weber • L. Kook • T. Nagler
Generalizing orthogonalization for models with non-linearities.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL

[1075]

Y. Sale • V. Bengs • M. Caprio • E. Hüllermeier
Second-Order Uncertainty Quantification: A Distance-Based Approach.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL

[1074]

J. Schweisthal • D. Frauen • M. Van der Schaar • S. Feuerriegel
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL

[1073]

Y. Shen • N. Daheim • B. Cong • P. Nickl • G. M. Marconi • C. Bazan • R. Yokota • I. Gurevych • D. Cremers • M. E. Khan • T. Möllenhoff
Variational Learning is Effective for Large Deep Networks.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL GitHub

[1072]

E. Sommer • L. Wimmer • T. Papamarkou • L. Bothmann • B. Bischl • D. Rügamer
Connecting the Dots: Is Mode Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL

[1071]

D. Tramontano • Y. Kivva • S. Salehkaleybar • M. Drton • N. Kiyavash
Causal Effect Identification in LiNGAM Models with Latent Confounders.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL

[1070]

X. Feng • Z. Jiang • T. Kaufmann • E. Hüllermeier • P. Weng • Y. Zhu
Comparing Comparisons: Informative and Easy Human Feedback with Distinguishability Queries.
MHFAIA @ICML 2024 - Workshop on Models of Human Feedback for AI Alignment at the 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL

[1069]

P. Hofman • Y. Sale • E. Hüllermeier
Quantifying Aleatoric and Epistemic Uncertainty: A Credal Approach.
SPIGM @ICML 2024 - Workshop on Structured Probabilistic Inference & Generative Modeling at the 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL

[1068]

T. Uscidda • L. Eyring • K. Roth • F. J. Theis • Z. Akata • M. Cuturi
Disentangled Representation Learning through Geometry Preservation with the Gromov-Monge Gap.
SPIGM @ICML 2024 - Workshop on Structured Probabilistic Inference & Generative Modeling at the 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. arXiv

[1067]

U. Fischer Abaigar • C. Kern • F. Kreuter
The Missing Link: Allocation Performance in Causal Machine Learning.
Workshop Humans, Algorithmic Decision-Making and Society @ICML 2024 - Workshop Humans, Algorithmic Decision-Making and Society: Modeling Interactions and Impact at the 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. arXiv URL

[1066]

H. Krasowski
Guaranteeing Complex Safety Specifications for Autonomous Vehicles via Reinforcement Learning with Formal Methods.
Dissertation TU München. Jul. 2024. URL

[1065]

L. Arrighi • L. Pennella • G. M. Tavares • S. Barbon Junior
Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles.
xAI 2024 - 2nd World Conference on Explainable Artificial Intelligence. Valletta, Malta, Jul 17-19, 2024. DOI

[1064]

S. Dandl • K. Blesch • T. Freiesleben • G. König • J. Kapar • B. Bischl • M. N. Wright
CountARFactuals – Generating plausible model-agnostic counterfactual explanations with adversarial random forests.
xAI 2024 - 2nd World Conference on Explainable Artificial Intelligence. Valletta, Malta, Jul 17-19, 2024. DOI

[1063]

F. K. Ewald • L. Bothmann • M. N. Wright • B. Bischl • G. Casalicchio • G. König
A Guide to Feature Importance Methods for Scientific Inference.
xAI 2024 - 2nd World Conference on Explainable Artificial Intelligence. Valletta, Malta, Jul 17-19, 2024. DOI

[1062]

P. Kolpaczki • G. Haselbeck • E. Hüllermeier
How Much Can Stratification Improve the Approximation of Shapley Values?
xAI 2024 - 2nd World Conference on Explainable Artificial Intelligence. Valletta, Malta, Jul 17-19, 2024. DOI

[1061]

D. Rundel • J. Kobialka • C. von Crailsheim • M. Feurer • T. Nagler • D. Rügamer
Interpretable Machine Learning for TabPFN.
xAI 2024 - 2nd World Conference on Explainable Artificial Intelligence. Valletta, Malta, Jul 17-19, 2024. DOI GitHub

[1060]

C. A. Scholbeck • H. Funk • G. Casalicchio
Algorithm-Agnostic Feature Attributions for Clustering.
xAI 2024 - 2nd World Conference on Explainable Artificial Intelligence. Valletta, Malta, Jul 17-19, 2024. DOI

[1059]

S. Dandl • M. Becker • B. Bischl • G. Casalicchio • L. Bothmann
mlr3summary: Concise and interpretable summaries for machine learning models.
xAI 2024 - Demo Track of the 2nd World Conference on Explainable Artificial Intelligence. Valletta, Malta, Jul 17-19, 2024. arXiv

[1058]

C. Damke • E. Hüllermeier
Linear Opinion Pooling for Uncertainty Quantification on Graphs.
UAI 2024 - 40th Conference on Uncertainty in Artificial Intelligence. Barcelona, Spain, Jul 16-18, 2024. URL GitHub

[1057]

L. Kook • C. Kolb • P. Schiele • D. Dold • M. Arpogaus • C. Fritz • P. Baumann • P. Kopper • T. Pielok • E. Dorigatti • D. Rügamer
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression.
UAI 2024 - 40th Conference on Uncertainty in Artificial Intelligence. Barcelona, Spain, Jul 16-18, 2024. URL

[1056]

Y. Sale • P. Hofman • T. Löhr • L. Wimmer • T. Nagler • E. Hüllermeier
Label-wise Aleatoric and Epistemic Uncertainty Quantification.
UAI 2024 - 40th Conference on Uncertainty in Artificial Intelligence. Barcelona, Spain, Jul 16-18, 2024. URL

[1055]

A. Kathan • S. Amiriparian • A. Triantafyllopoulos • A. Gebhard • S. Milkus • J. Hohmann • P. Muderlak • J. Schottdorf • R. Musil • B. W. Schuller
Personalised Speech-Based PTSD Prediction Using Weighted-Instance Learning.
EMBC 2024 - 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Orlando, FL, USA, Jul 15-19, 2024. DOI

[1054]

S. T. Rajamani • K. Rajamani • A. J • K. R • B. W. Schuller
CBAM_SAUNet: A novel attention U-Net for effective segmentation of corner cases.
EMBC 2024 - 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Orlando, FL, USA, Jul 15-19, 2024. DOI

[1053]

A. Spiesberger • A. Mallol-Ragolta • A. Triantafyllopoulos • B. W. Schuller
Towards Predicting Menstrual Cycle Phases Exploiting Paralinguistic Features.
EMBC 2024 - 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Orlando, FL, USA, Jul 15-19, 2024. DOI

[1052]

J. Piller • H. Küchenhoff • A. Bender
Flexible additive models for multi-event survival analysis.
IWSM 2024 - 38th International Workshop on Statistical Modelling. Durham, UK, Jul 14-19, 2024. PDF

[1051]

T. Löhr • M. Ingrisch • E. Hüllermeier
Towards Aleatoric and Epistemic Uncertainty in Medical Image Classification.
AIME 2024 - 22nd International Conference on Artificial Intelligence in Medicine. Salt Lake City, UT, USA, Jul 09-12, 2024. DOI

[1050]

S. Dandl • M. Becker • B. Bischl • G. Casalicchio • L. Bothmann
mlr3summary: Concise and interpretable summaries for machine learning models.
useR! 2024 - International R User Conference. Salzburg, Austria, Jul 08-22, 2024. arXiv GitHub

[1049]

S. Fischer • M. Binder
mlr3torch - Deep Learning in R.
useR! 2024 - International R User Conference. Salzburg, Austria, Jul 08-22, 2024. GitHub

[1048]

H. Boche • A. Fono • G. Kutyniok
A Mathematical Framework for Computability Aspects of Algorithmic Transparency.
ISIT 2024 - IEEE International Symposium on Information Theory. Athens, Greece, Jul 07-12, 2024. DOI

[1047]

M. Keicher • K. Zaripova • T. Czempiel • K. Mach • A. Khakzar • N. Navab
FlexR: Few-shot Classification with Language Embeddings for Structured Reporting of Chest X-rays.
MIDL 2024 - Medical Imaging with Deep Learning. Paris, France, Jul 03-05, 2024. URL

[1046]

Y. Li • T. N. Wolf • S. Pölsterl • I. Yakushev • D. M. Hedderich • C. Wachinger
From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data.
MIDL 2024 - Medical Imaging with Deep Learning. Paris, France, Jul 03-05, 2024. URL

[1045]

A. Javanmardi • O. K. Aimiyekagbon • A. Bender • J. K. Kimotho • W. Sextro • E. Hüllermeier
Remaining Useful Lifetime Estimation of Bearings Operating under Time-Varying Conditions.
PHME 2024 - 8th European Conference of the Prognostics and Health Management Society 2024. Prague, Czech Republic, Jul 03-05, 2024. DOI

[1044]

G. M. Nguegnang • H. Rauhut • U. Terstiege
Convergence of gradient descent for learning linear neural networks.
Advances in Continuous and Discrete Models 2024.23. Jul. 2024. DOI

[1043]

M. M. Mandl • A. S. Becker-Pennrich • L. C. Hinske • S. Hoffmann • A.-L. Boulesteix
Addressing researcher degrees of freedom through minP adjustment.
BMC Medical Research Methodology 24.152. Jul. 2024. DOI

[1042]

M. Ali • M. Kuijs • S. Hediyeh-zadeh • T. Treis • K. Hrovatin • G. Palla • A. C. Schaar • F. J. Theis
GraphCompass: spatial metrics for differential analyses of cell organization across conditions.
Bioinformatics 40.Supplement 1. Jul. 2024. DOI

[1041]

J. Shin • M. A. Hedderich • B. J. Rey • A. Lucero • A. Oulasvirta
Understanding Human-AI Workflows for Generating Personas.
DIS 2024 - ACM Conference on Designing Interactive Systems. Copenhagen, Denmark, Jul 01-05, 2024. DOI

[1040]

M. Windl • S. S. Feger
Designing Interactive Privacy Labels for Advanced Smart Home Device Configuration Options.
DIS 2024 - ACM Conference on Designing Interactive Systems. Copenhagen, Denmark, Jul 01-05, 2024. DOI

[1039]

E. Kraus • C. Kern
Measurement Modeling of Predictors and Outcomes in Algorithmic Fairness.
EWAF 2024 - 3rd European Workshop on Algorithmic Fairness. Mainz, Germany, Jul 01-03, 2024. PDF

[1038]

B. Ronval • S. Nijssen • L. Bothmann
Can generative AI-based data balancing mitigate unfairness issues in Machine Learning?
EWAF 2024 - 3rd European Workshop on Algorithmic Fairness. Mainz, Germany, Jul 01-03, 2024. PDF

[1037]

J. Simson • A. Fabris • C. Kern
Unveiling the Blindspots: Examining Availability and Usage of Protected Attributes in Fairness Datasets.
EWAF 2024 - 3rd European Workshop on Algorithmic Fairness. Mainz, Germany, Jul 01-03, 2024. PDF

[1036]

C. Strasser Ceballos • C. Kern
Deciding the Future of Refugees: Rolling the Dice or Algorithmic Location Assignment?
EWAF 2024 - 3rd European Workshop on Algorithmic Fairness. Mainz, Germany, Jul 01-03, 2024. PDF

[1035]

W. Qiu • Y. Feng • Y. Li • Y. Chang • K. Qian • B. Hu • Y. Yamamoto • B. W. Schuller
Fed-MStacking: Heterogeneous Federated Learning With Stacking Misaligned Labels for Abnormal Heart Sound Detection.
IEEE Journal of Biomedical and Health Informatics 28.9. Jul. 2024. DOI

[1034]

F. Fan • Y. Shi • X. Zhu
Land Cover Classification From Sentinel-2 Images With Quantum-Classical Convolutional Neural Networks.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 17. Jul. 2024. DOI

[1033]

Z. Xiong • S. Chen • Y. Shi • X. Zhu
Self-Supervised Pretraining With Monocular Height Estimation for Semantic Segmentation.
IEEE Transactions on Geoscience and Remote Sensing 62. Jul. 2024. DOI GitHub

[1032]

W. Yu • X. Zhang • S. Das • X. Zhu • P. Ghamisi
MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification.
IEEE Transactions on Geoscience and Remote Sensing 62. Jul. 2024. DOI GitHub

[1031]

S. Milano • S. Nyholm
Advanced AI assistants that act on our behalf may not be ethically or legally feasible.
Nature Machine Intelligence 6. Jul. 2024. DOI

[1030]

M. Fornasier • T. Klock • K. Riedl
Consensus-Based Optimization Methods Converge Globally.
SIAM Journal on Optimization 34.3. Jul. 2024. DOI

[1029]

F. Poszler • B. Lange
The impact of intelligent decision-support systems on humans' ethical decision-making: A systematic literature review and an integrated framework.
Technological Forecasting and Social Change 204.123403. Jul. 2024. DOI

[1028]

F. Quinzan • C. Casolo • K. Muandet • Y. Luo • N. Kilbertus
Learning Counterfactually Invariant Predictors.
Transactions on Machine Learning Research. Jul. 2024. URL

[1027]

F. Karl • J. Thomas • J. Elstner • R. Gross • B. Bischl
Automated Machine Learning.
Unlocking Artificial Intelligence. Jul. 2024. DOI

[1026]

J. Beddrich • E. Chenchene • M. Fornasier • H. Huang • B. Wohlmuth
Constrained Consensus-Based Optimization and Numerical Heuristics for the Few Particle Regime.
Preprint (Jul. 2024). arXiv

[1025]

F. Bongratz • V. Golkov • L. Mautner • L. Della Libera • F. Heetmeyer • F. Czaja • J. Rodemann • D. Cremers
How to Choose a Reinforcement-Learning Algorithm.
Preprint (Jul. 2024). arXiv GitHub

[1024]

M. Fuest • P. Ma • M. Gui • J. Schusterbauer • V. T. Hu • B. Ommer
Diffusion Models and Representation Learning: A Survey.
Preprint (Jul. 2024). arXiv GitHub

[1023]

D. Köhler • D. Rügamer • M. Schmid
Achieving interpretable machine learning by functional decomposition of black-box models into explainable predictor effects.
Preprint (Jul. 2024). arXiv

[1022]

M. Schröder • D. Frauen • J. Schweisthal • K. Heß • V. Melnychuk • S. Feuerriegel
Conformal Prediction for Causal Effects of Continuous Treatments.
Preprint (Jul. 2024). arXiv

[1021]

F. Sergeev • P. Malsot • G. Rätsch • V. Fortuin
Towards Dynamic Feature Acquisition on Medical Time Series by Maximizing Conditional Mutual Information.
Preprint (Jul. 2024). arXiv

[1020]

Y. Xia • R. Ding • Z. Qin • G. Zhan • K. Zhou • L. Yang • H. Dong • D. Cremers
TARGO: Benchmarking Target-driven Object Grasping under Occlusions.
Preprint (Jul. 2024). arXiv GitHub

[1019]

F. Fan • Y. Shi • X. Zhu
Urban Land Cover Classification with Efficient Hybrid Quantum Machine Learning Model.
CEC 2024 - IEEE Congress on Evolutionary Computation. Yokohama, Japan, Jun 30-Jul 05, 2024. DOI

[1018]

C. M. Verdun • O. Melnyk • F. Krahmer • P. Jung
Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence.
COLT 2024 - 37th Annual Conference on Learning Theory. Edmonton, Canada, Jun 30-Jul 03, 2024. URL

[1017]

C. F. Naumzik • A. Kongsted • W. Vach • S. Feuerriegel
Data-driven subgrouping of patient trajectories with chronic diseases: Evidence from low back pain.
CHIL 2024 - 5th AHLI Conference on Health, Inference, and Learning . New York City, NY, USA, Jun 27-28, 2024. URL

[1016]

J. Brandt • B. Haddenhorst • V. Bengs • E. Hüllermeier
Dueling Bandits with Delayed Feedback.
DataNinja sAIOnARA 2024 - DataNinja sAIOnARA Conference: Shaping Trustworthy AI: Opportunities, Innovation and Achievements for Reliable Approaches. Bielefeld, Germany, Jun 25-27, 2024. DOI

[1015]

C. Cipriani • A. Scagliotti • T. Wöhrer
A Minimax Optimal Control Approach for Robust Neural ODEs.
ECC 2024 - European Control Conference. Stockholm, Sweden, Jun 25-28, 2024. DOI

[1014]

P. Piccirilli • A. Fraser • S. Schulte im Walde
VOLIMET: A Parallel Corpus of Literal and Metaphorical Verb-Object Pairs for English–German and English–French.
*SEM 2024 - 13th Joint Conference on Lexical and Computational Semantics co-located with NAACL 2024. Mexico City, Mexico, Jun 20-21, 2024. DOI

[1013]

M. Brahimi • B. Haefner • Z. Ye • B. Goldluecke • D. Cremers
Sparse Views, Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI

[1012]

Y. Chen • Y. Di • G. Zhai • F. Manhardt • C. Zhang • R. Zhang • F. Tombari • N. Navab • B. Busam
SecondPose: SE(3)-Consistent Dual-Stream Feature Fusion for Category-Level Pose Estimation.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI

[1011]

V. Ehm • M. Gao • P. Roetzer • M. Eisenberger • D. Cremers • F. Bernard
Partial-to-Partial Shape Matching with Geometric Consistency.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI GitHub

[1010]

M. Ghahremani • M. Khateri • B. Jian • B. Wiestler • E. Adeli • C. Wachinger
H-ViT: A Hierarchical Vision Transformer for Deformable Image Registration.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI GitHub

[1009]

K. Han • D. Muhle • F. Wimbauer • D. Cremers
Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI

[1008]

J. Huang • H. Yu • K.-T. Yu • N. Navab • S. Ilic • B. Busam
MatchU: Matching Unseen Objects for 6D Pose Estimation from RGB-D Images.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI

[1007]

H. Jung • S.-C. Wu • P. Ruhkamp • G. Zhai • H. Schieber • G. Rizzoli • P. Wang • H. Zhao • L. Garattoni • D. Roth • S. Meier • N. Navab • B. Busam
HouseCat6D -- A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI

[1006]

H. Li • C. Shen • P. Torr • V. Tresp • J. Gu
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI GitHub

[1005]

A. Toker • M. Eisenberger • D. Cremers • L. Leal-Taixé
SatSynth: Augmenting Image-Mask Pairs Through Diffusion Models for Aerial Semantic Segmentation.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI

[1004]

S. Weber • T. Dagès • M. Gao • D. Cremers
Finsler-Laplace-Beltrami Operators with Application to Shape Analysis.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI

[1003]

S. Weber • B. Zöngür • N. Araslanov • D. Cremers
Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincaré Ball.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI

[1002]

F. Wimbauer • B. Wu • E. Schoenfeld • X. Dai • J. Hou • Z. He • A. Sanakoyeu • P. Zhang • S. Tsai • J. Kohler • C. Rupprecht • D. Cremers • P. Vajda • J. Wang
Cache Me if You Can: Accelerating Diffusion Models through Block Caching.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI GitHub

[1001]

Y. Xia • L. Shi • Z. Ding • J. F. Henriques • D. Cremers
Text2Loc: 3D Point Cloud Localization from Natural Language.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI GitHub

[1000]

A. Höhl • I. Obadic • M.-Á. Fernández-Torres • D. Oliveira • X. Zhu;
Recent Trends Challenges and Limitations of Explainable AI in Remote Sensing.
Workshop @CVPR 2024 - Workshop at the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. URL

[999]

I. Obadic • A. Levering • L. Pennig • D. Oliveira • D. Marcos • X. Zhu
Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes.
Workshop @CVPR 2024 - Workshop at the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI

[998]

C. Reich • B. Debnath • D. Patel • T. Prangemeier • D. Cremers • S. Chakradhar
Deep Video Codec Control for Vision Models.
Workshop @CVPR 2024 - Workshop at the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI

[997]

C. Reich • O. Hahn • D. Cremers • S. Roth • B. Debnath
A Perspective on Deep Vision Performance with Standard Image and Video Codecs.
Workshop @CVPR 2024 - Workshop at the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI

[996]

Y. Liu • P. Lin • M. Wang • H. Schütze
OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued Pretraining.
Findings @NAACL 2024 - Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. URL

[995]

H. Ye • Y. Liu • C. Ma • H. Schütze
MoSECroT: Model Stitching with Static Word Embeddings for Crosslingual Zero-shot Transfer.
Insights from Negative Results @NAACL 2024 - 5th Workshop on Insights from Negative Results in NLP at the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. URL

[994]

B. Deiseroth • M. Meuer • N. Gritsch • C. Eichenberg • P. Schramowski • M. Aßenmacher • K. Kersting
Divergent Token Metrics: Measuring degradation to prune away LLM components -- and optimize quantization.
NAACL 2024 - Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. DOI

[993]

Z. Ding • H. Cai • J. Wu • Y. Ma • R. Liao • B. Xiong • V. Tresp
zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models.
NAACL 2024 - Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. URL

[992]

R. Liao • X. Jia • Y. Li • Y. Ma • V. Tresp
GenTKG: Generative Forecasting on Temporal Knowledge Graph.
NAACL 2024 - Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. URL GitHub

[991]

M. Wang • H. Adel • L. Lange • J. Strötgen • H. Schütze
Rehearsal-Free Modular and Compositional Continual Learning for Language Models.
NAACL 2024 - Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. URL

[990]

P. Resnik • B. Ma • A. Hoyle • P. Goel • R. Sarkar • M. Gearing • A.-C. Haensch • F. Kreuter
TOPCAT: Topic-Oriented Protocol for Content Analysis of Text – A Preliminary Study.
NLP+CSS @NAACL 2024 - 6th Workshop on Natural Language Processing and Computational Social Science at the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. URL

[989]

H. Chen • J. Büssing • D. Rügamer • E. Nie
Leveraging (Sentence) Transformer Models with Contrastive Learning for Identifying Machine-Generated Text.
SemEval @NAACL 2024 - 18th International Workshop on Semantic Evaluation at the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. URL

[988]

S. Zhou • H. Shan • B. Plank • R. Litschko
MaiNLP at SemEval-2024 Task 1: Analyzing Source Language Selection in Cross-Lingual Textual Relatedness.
SemEval @NAACL 2024 - 18th International Workshop on Semantic Evaluation at the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. URL

[987]

Y. Zhang • V. Hangya • A. Fraser
A Study of the Class Imbalance Problem in Abusive Language Detection.
WOAH @NAACL 2024 - 8th Workshop on Online Abuse and Harms at the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. DOI

[986]

E. Hüllermeier
On the Challenge of Quantifying Epistemic Uncertainty in Machine Learning.
SIPTA - The Society for Imprecise Probabilities: Theories and Applications. Virtual, Jun 14, 2024. Invited Talk. PDF

[985]

L. Haliburton • S. Ghebremedhin • R. Welsch • A. Schmidt • S. Mayer
Investigating Labeler Bias in Face Annotation for Machine Learning.
HHAI 2024 - 3rd International Conference on Hybrid Human-Artificial Intelligence. Malmö, Sweden, Jun 10-14, 2024. DOI

[984]

L. Mayer • C. Heumann • M. Aßenmacher
Can OpenSource beat ChatGPT? - A Comparative Study of Large Language Models for Text-to-Code Generation.
SwissText 2024 - Swiss Text Analytics Conference. Chur, Switzerland, Jun 10-11, 2024. URL

[983]

C. Liu • C. M. Albrecht • Y. Wang • X. Zhu
Task Specific Pretraining with Noisy Labels for Remote sensing Image Segmentation.
IGARSS 2024 - IEEE International Geoscience and Remote Sensing Symposium. Athens, Greece, Jun 07, 2024-12, 2023. DOI

[982]

Z. Yuan • L. Mou; • Y. Hua • X. Zhu
Referring Image Segmentation for Remote Sensing Data.
IGARSS 2024 - IEEE International Geoscience and Remote Sensing Symposium. Athens, Greece, Jun 07, 2024-12, 2023. DOI

[981]

Q. Zhang • Y. Wang • X. Zhu
Deep-Learning-Based Large-Scale Forest Height Generation.
IGARSS 2024 - IEEE International Geoscience and Remote Sensing Symposium. Athens, Greece, Jun 07, 2024-12, 2023. DOI

[980]

J. W. Grootjen • H. Weingärtner • S. Mayer
Investigating the Effects of Eye-Tracking Interpolation Methods on Model Performance of LSTM.
PETMEI @ETRA 2024 - 9th International Workshop on Pervasive Eye Tracking and Mobile Eye-Based Interaction at the ACM Symposium on Eye Tracking Research and Applications. Glasgow, Scotland, Jun 04-07, 2024. DOI

[979]

S. Jaime • C. Kern
Ethnic Classifications in Algorithmic Fairness: Concepts, Measures and Implications in Practice.
ACM FAccT 2024 - 7th ACM Conference on Fairness, Accountability, and Transparency. Rio de Janeiro, Brazil, Jun 03-06, 2024. DOI

[978]

K. Lam • B. Lange • B. Blili-Hamelin • J. Davidovic • S. Brown • A. Hasan
A Framework for Assurance Audits of Algorithmic Systems.
ACM FAccT 2024 - 7th ACM Conference on Fairness, Accountability, and Transparency. Rio de Janeiro, Brazil, Jun 03-06, 2024. DOI

[977]

J. Simson • A. Fabris • C. Kern
Lazy Data Practices Harm Fairness Research.
ACM FAccT 2024 - 7th ACM Conference on Fairness, Accountability, and Transparency. Rio de Janeiro, Brazil, Jun 03-06, 2024. DOI

[976]

J. Simson • F. Pfisterer • C. Kern
One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions.
ACM FAccT 2024 - 7th ACM Conference on Fairness, Accountability, and Transparency. Rio de Janeiro, Brazil, Jun 03-06, 2024. DOI

[975]

R. S. Oyamada • G. M. Tavares • S. B. Junior • P. Ceravolo
Enhancing Predictive Process Monitoring with Time-Related Feature Engineering.
CAiSE 2024 - 36th International Conference on Advanced Information Systems Engineering. Limassol, Cyprus, Jun 03-07, 2024. DOI

[974]

B. Säfken • D. Rügamer
Editorial special issue: Bridging the gap between AI and Statistics.
Advances in Statistical Analysis 108. Jun. 2024. DOI

[973]

A. Scagliotti • P. Colli Franzone
A subgradient method with constant step-size for l1-composite optimization.
Bollettino dell’Unione Matematica Italiana 17. Jun. 2024. DOI

[972]

K. Göbler • M. Drton • S. Mukherjee • A. Miloschewski
High-dimensional undirected graphical models for arbitrary mixed data.
Electronic Journal of Statistics 18.1. Jun. 2024. DOI

[971]

X. Li • C. Wen • Y. Hu • Z. Yuan • X. Zhu
Vision-Language Models in Remote Sensing: Current progress and future trends.
IEEE Geoscience and Remote Sensing Magazine 12.2. Jun. 2024. DOI

[970]

Ç. Yapar • F. Jaensch • R. Levie • G. Kutyniok • G. Caire
Overview of the First Pathloss Radio Map Prediction Challenge.
IEEE Open Journal of Signal Processing 5. Jun. 2024. DOI

[969]

J. Guo • D. Hong • Z. Liu • X. Zhu
Continent-wide urban tree canopy fine-scale mapping and coverage assessment in South America with high-resolution satellite images.
ISPRS Journal of Photogrammetry and Remote Sensing 212. Jun. 2024. DOI

[968]

W. Huang • Y. Shi • Z. Xiong • X. Zhu
Decouple and weight semi-supervised semantic segmentation of remote sensing images.
ISPRS Journal of Photogrammetry and Remote Sensing 212. Jun. 2024. DOI GitHub

[967]

S. M. Fischer • J. Kiechle • D. M. Lang • J. C. Peeken • J. A. Schnabel
Mask the Unknown: Assessing Different Strategies to Handle Weak Annotations in the MICCAI2023 Mediastinal Lymph Node Quantification Challenge.
Machine Learning for Biomedical Imaging 2. Jun. 2024. DOI GitHub

[966]

R. Wicklein • L. Kreitner • A. Wild • L. Aly • D. Rückert • B. Hemmer • T. Korn • M. J. Menten • B. Knier
Retinal small vessel pathology is associated with disease burden in multiple sclerosis.
Multiple Sclerosis Journal 30.7. Jun. 2024. DOI

[965]

A. Ziller • T. T. Mueller • S. Stieger • L. F. Feiner • J. Brandt • R. Braren • D. Rückert • G. Kaissis
Reconciling privacy and accuracy in AI for medical imaging.
Nature Machine Intelligence 6. Jun. 2024. DOI

[964]

D. Bär • F. Pierri • G. De Francisci Morales • S. Feuerriegel
Systematic discrepancies in the delivery of political ads on facebook and instagram.
PNAS Nexus.pgae247. Jun. 2024. DOI

[963]

J. Ramjith • A. Bender • K. C. B. Roes • M. A. Jonker
Recurrent events analysis with piece-wise exponential additive mixed models.
Statistical Modelling 24.3. Jun. 2024. DOI

[962]

S. Ball • F. Kreuter • N. Panickssery
Understanding Jailbreak Success: A Study of Latent Space Dynamics in Large Language Models.
Preprint (Jun. 2024). arXiv

[961]

B. Felderer • L. Repke • W. Weber • J. Schweisthal • L. Bothmann
Predicting the Validity and Reliability of Survey Questions.
Preprint (Jun. 2024). DOI

[960]

L. Hirlimann • S. Zhang • H. Schütze • P. Wicke
Robustness Testing of Multi-Modal Models in Varied Home Environments for Assistive Robots.
Preprint (Jun. 2024). arXiv

[959]

T. Kaufmann • J. Blüml • A. Wüst • Q. Delfosse • K. Kersting • E. Hüllermeier
OCALM: Object-Centric Assessment with Language Models.
Preprint (Jun. 2024). arXiv

[958]

V. Margraf • M. Wever • S. Gilhuber • G. M. Tavares • T. Seidl • E. Hüllermeier
ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data.
Preprint (Jun. 2024). arXiv GitHub

[957]

A. Stephan • L. Miklautz • C. Leiber • P. H. Araujo • D. Répás • C. Plant • B. Roth
Text-Guided Alternative Image Clustering.
Preprint (Jun. 2024). arXiv

[956]

M. Wang • H. Adel • L. Lange • J. Strötgen • H. Schütze
Learn it or Leave it: Module Composition and Pruning for Continual Learning.
Preprint (Jun. 2024). arXiv

[955]

T. Wollschläger • N. Kemper • L. Hetzel • J. Sommer • S. Günnemann
Expressivity and Generalization: Fragment-Biases for Molecular GNNs.
Preprint (Jun. 2024). arXiv

[954]

E. Dorigatti
Cancer immunotherapy design and analysis through discrete optimization, positive-unlabeled learning, and semi-structured regression models.
Dissertation LMU München. May. 2024. DOI

[953]

J. Kiechle • S. M. Fischer • D. M. Lang • M. Folco • S. C. Foreman • V. K. N. Rösner • A.-K. Lohse • C. Mogler • C. Knebel • M. R. Makowski • K. Woertler • S. E. Combs • A. S. Gersing • J. C. Peeken • J. A. Schnabel
Unifying local and global shape descriptors to grade soft-tissue sarcomas using graph convolutional networks.
ISBI 2024 - IEEE 21st International Symposium on Biomedical Imaging. Athens, Greece, May 27-30, 2024. DOI

[952]

N. Stolt-Ansó • V. Sideri-Lampretsa • M. Dannecker • D. Rückert
Intensity-based 3D motion correction for cardiac MR images.
ISBI 2024 - IEEE 21st International Symposium on Biomedical Imaging. Athens, Greece, May 27-30, 2024. DOI

[951]

Y. Zhang • N. Stolt-Ansó • J. Pan • W. Huang • K. Hammernik • D. Rückert
Direct Cardiac Segmentation from Undersampled K-Space using Transformers.
ISBI 2024 - IEEE 21st International Symposium on Biomedical Imaging. Athens, Greece, May 27-30, 2024. DOI

[950]

P. Purucker • C. Reil • A. Höß • B. W. Schuller
Deep Neural Quality of Service Prediction for Unmanned Aircraft System Communications.
IWCMC 2024 - 20th International Wireless Communications and Mobile Computing Conference. Cyprus, Greece, May 27-31, 2024. DOI

[949]

Y. Han • Z. Ding • Y. Liu • B. He • V. Tresp
Critical Path Identification in Supply Chain Knowledge Graphs with Large Language Models.
ESWC 2024 - Extended Semantic Web Conference. Hersonissos, Crete, Greece, May 26-30, 2024. DOI

[948]

V. Blaschke • B. Kovačić • S. Peng • H. Schütze • B. Plank
MaiBaam: A Multi-Dialectal Bavarian Universal Dependency Treebank.
LREC-COLING 2024 - Joint International Conference on Computational Linguistics, Language Resources and Evalutaion. Torino, Italy, May 20-25, 2024. URL

[947]

V. Hangya • A. Fraser
How to Solve Few-Shot Abusive Content Detection Using the Data We Actually Have.
LREC-COLING 2024 - Joint International Conference on Computational Linguistics, Language Resources and Evalutaion. Torino, Italy, May 20-25, 2024. URL

[946]

A. H. Kargaran • F. Yvon • H. Schütze
GlotScript: A Resource and Tool for Low Resource Writing System Identification.
LREC-COLING 2024 - Joint International Conference on Computational Linguistics, Language Resources and Evalutaion. Torino, Italy, May 20-25, 2024. URL GitHub

[945]

A. Köksal • S. Severini • H. Schütze
SilverAlign: MT-Based Silver Data Algorithm for Evaluating Word Alignment.
LREC-COLING 2024 - Joint International Conference on Computational Linguistics, Language Resources and Evalutaion. Torino, Italy, May 20-25, 2024. URL

[944]

M. Marco • A. Fraser
Analyzing the Understanding of Morphologically Complex Words in Large Language Models.
LREC-COLING 2024 - Joint International Conference on Computational Linguistics, Language Resources and Evalutaion. Torino, Italy, May 20-25, 2024. URL

[943]

D. R. Mortensen • V. Izrailevitch • Y. Xiao • H. Schütze • L. Weissweiler
Verbing Weirds Language (Models): Evaluation of English Zero-Derivation in Five LLMs.
LREC-COLING 2024 - Joint International Conference on Computational Linguistics, Language Resources and Evalutaion. Torino, Italy, May 20-25, 2024. URL

[942]

C. Müller • B. Plank
IndirectQA: Understanding Indirect Answers to Implicit Polar Questions in French and Spanish.
LREC-COLING 2024 - Joint International Conference on Computational Linguistics, Language Resources and Evalutaion. Torino, Italy, May 20-25, 2024. URL

[941]

S. Peng • Z. Sun • H. Shan • M. Kolm • V. Blaschke • E. Artemova • B. Plank
Sebastian, Basti, Wastl?! Recognizing Named Entities in Bavarian Dialectal Data.
LREC-COLING 2024 - Joint International Conference on Computational Linguistics, Language Resources and Evalutaion. Torino, Italy, May 20-25, 2024. URL

[940]

L. Weissweiler • N. Böbel • K. Guiller • S. Herrera • W. Scivetti • A. Lorenzi • N. Melnik • A. Bhatia • H. Schütze • L. Levin • A. Zeldes • J. Nivre • W. Croft • N. Schneider
UCxn: Typologically Informed Annotation of Constructions Atop Universal Dependencies.
LREC-COLING 2024 - Joint International Conference on Computational Linguistics, Language Resources and Evalutaion. Torino, Italy, May 20-25, 2024. URL

[939]

M. Winkler • V. Juozapaityte • R. van der Goot • B. Plank
Slot and Intent Detection Resources for Bavarian and Lithuanian: Assessing Translations vs Natural Queries to Digital Assistants.
LREC-COLING 2024 - Joint International Conference on Computational Linguistics, Language Resources and Evalutaion. Torino, Italy, May 20-25, 2024. URL

[938]

S. Zhou • L. Weissweiler • T. He • H. Schütze • D. R. Mortensen • L. Levin
Constructions Are So Difficult That Even Large Language Models Get Them Right for the Wrong Reasons.
LREC-COLING 2024 - Joint International Conference on Computational Linguistics, Language Resources and Evalutaion. Torino, Italy, May 20-25, 2024. URL

[937]

C. A. Scholbeck
Bridging gaps in interpretable machine learning: sensitivity analysis, marginal effects, and cluster explanations.
Dissertation LMU München. May. 2024. DOI

[936]

A. Beer • O. Palotás • A. Maldonado • A. Draganov • I. Assent
DROPP: Structure-aware PCA for Ordered Data.
ICDE 2024 - 40th IEEE International Conference on Data Engineering. Utrecht, Netherlands, May 13-17, 2024. DOI

[935]

Y. Velikova • M. F. Azampour • W. Simson • M. Esposito • N. Navab
Implicit Neural Representations for Breathing-compensated Volume Reconstruction in Robotic Ultrasound Aorta Screening.
ICRA 2024 - IEEE International Conference on Robotics and Automation. Yokohoma, Japan, May 13-17, 2024. DOI

[934]

J. W. Grootjen • H. Weingärtner • S. Mayer
Uncovering and Addressing Blink-Related Challenges in Using Eye Tracking for Interactive Systems.
CHI 2024 - Conference on Human Factors in Computing Systems. Honolulu, Hawaii, May 11-16, 2024. DOI

[933]

L. Haliburton • I. Damen • C. Lallemand • A. Ahtinen • J. Niess • P. W. Woźniak
Office Wellbeing by Design: Don’t Stand for Anything Less.
CHI 2024 - Conference on Human Factors in Computing Systems. Honolulu, Hawaii, May 11-16, 2024. DOI

[932]

L. Haliburton • D. J. Grüning • F. Riedel • A. Schmidt • N. Terzimehić
A Longitudinal In-the-Wild Investigation of Design Frictions to Prevent Smartphone Overuse.
CHI 2024 - Conference on Human Factors in Computing Systems. Honolulu, Hawaii, May 11-16, 2024. DOI

[931]

S. Sakel • T. Blenk • A. Schmidt • L. Haliburton
The Social Journal: Investigating Technology to Support and Reflect on Meaningful Social Interactions.
CHI 2024 - Conference on Human Factors in Computing Systems. Honolulu, Hawaii, May 11-16, 2024. DOI

[930]

K. Röck
Stochastic processes as surrogate models for dynamical systems in magnetic confinement fusion.
Dissertation LMU München. May. 2024. DOI

[929]

A. Modarressi • A. Imani • M. Fayyaz • H. Schütze
RET-LLM: Towards a General Read-Write Memory for Large Language Models.
AGI @ICLR 2024 - Workshop on Artificial General Intelligence at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. arXiv

[928]

R. Kohli • M. Feurer • B. Bischl • K. Eggensperger • F. Hutter
Towards Quantifying the Effect of Datasets for Benchmarking: A Look at Tabular Machine Learning.
DMLR @ICLR 2024 - Workshop on Data-centric Machine Learning Research at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL

[927]

S. d'Ascoli • S. Becker • P. Schwaller • A. Mathis • N. Kilbertus
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL GitHub

[926]

L. Eyring • D. Klein • T. Uscidda • G. Palla • N. Kilbertus • Z. Akata • F. J. Theis
Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL

[925]

D. Frauen • F. Imrie • A. Curth • V. Melnychuk • S. Feuerriegel • M. van der Schaar
A Neural Framework for Generalized Causal Sensitivity Analysis.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL

[924]

K. Heß • V. Melnychuk • D. Frauen • S. Feuerriegel
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL

[923]

C. Koke • D. Cremers
HoloNets: Spectral Convolutions do extend to Directed Graphs.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL

[922]

V. Melnychuk • D. Frauen • S. Feuerriegel
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL

[921]

M. Schröder • D. Frauen • S. Feuerriegel
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL

[920]

S. Solonets • D. Sinitsyn • L. Von Stumberg • N. Araslanov • D. Cremers
An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL

[919]

A. Vahidi • S. Schosser • L. Wimmer • Y. Li • B. Bischl • E. Hüllermeier • M. Rezaei
Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL GitHub

[918]

S. Chen • Z. Han • B. He • M. Buckley • P. Torr • V. Tresp • J. Gu
Understanding and Improving In-Context Learning on Vision-language Models.
ME-FoMo @ICLR 2024 - Workshop on Mathematical and Empirical Understanding of Foundation Models at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL

[917]

C. Liu • C. M. Albrecht • Y. Wang • X. Zhu
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation.
ML4RS @ICLR 2024 - 2nd Workshop Machine Learning for Remote Sensing at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. PDF

[916]

S. Zhao • I. Prapas • I. Karasante • Z. Xiong • I. Papoutsis • G. Camps-Valls • X. Zhu
Causal Graph Neural Networks for Wildfire Danger Prediction.
ML4RS @ICLR 2024 - 2nd Workshop Machine Learning for Remote Sensing at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. PDF

[915]

Z. Li • S. S. Cranganore • N. Youngblut • N. Kilbertus
Whole Genome Transformers for Gene Interaction Effects in Microbiome Habitat Prediction.
MLGenX @ICLR 2024 - Workshop Machine Learning for Genomics Explorations at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL

[914]

L. Zellner • S. Rauch • J. Sontheim • T. Seidl
On Diverse and Precise Recommendations for Small and Medium-Sized Enterprises.
PAKDD 2024 - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Taipeh, Taiwan, May 07-10, 2024. DOI GitHub

[913]

S. Chen • Z. Han • B. He • Z. Ding • W. Yu • P. Torr • V. Tresp • J. Gu
Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?
SeT LLM @ICLR 2024 - Workshop on Secure and Trustworthy Large Language Models at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL

[912]

H. N. Dang • V. Golkov • J. Endres • S. Weinmüller • F. Glang • T. Wimmer • D. Cremers • A. Dörfler • A. Maier • M. Zaiss
Joint sequence optimization beats pure neural network approaches for super-resolution TSE.
ISMRM 2024 - International Society for Magnetic Resonance in Medicine Annual Meeting. Singapore, May 04-09, 2024. URL

[911]

R. Klaar • M. Rabe • A. T. Stüber • S. Corradini • C. Eze • C. Belka • G. Landry • C. Kurz • J. Dinkel
Using Ventilation and Perfusion MRI at a 0.35 T MR-Linac to Predict Radiation-Induced Pneumonitis in Lung Cancer Patients.
ISMRM 2024 - International Society for Magnetic Resonance in Medicine Annual Meeting. Singapore, May 04-09, 2024. URL

[910]

Y. Zhang • N. Stolt-Ansó • J. Pan • W. Huang • K. Hammernik • D. Rückert
Reconstruction-free segmentation from undersampled k-space using transformers.
ISMRM 2024 - International Society for Magnetic Resonance in Medicine Annual Meeting. Singapore, May 04-09, 2024. URL

[909]

J. Kiechle • S. C. Foreman • S. M. Fischer • D. Rusche • V. Rösner • A.-K. Lohse • C. Mogler • S. E. Combs • M. R. Makowski • K. Woertler • D. M. Lang • J. A. Schnabel • A. S. Gersing • J. C. Peeken
Investigating the role of morphology in deep learning-based liposarcoma grading.
ESTRO 2024 - Annual Meeting of the European Society for Radiotherapy and Oncology. Glasgow, UK, May 03-07, 2024. URL

[908]

V. Bengs • B. Haddenhorst • E. Hüllermeier
Identifying Copeland Winners in Dueling Bandits with Indifferences.
AISTATS 2024 - 27th International Conference on Artificial Intelligence and Statistics. Valencia, Spain, May 02-04, 2024. URL

[907]

D. Dold • D. Rügamer • B. Sick • O. Dürr
Bayesian Semi-structured Subspace Inference.
AISTATS 2024 - 27th International Conference on Artificial Intelligence and Statistics. Valencia, Spain, May 02-04, 2024. URL

[906]

P. Kolpaczki • M. Muschalik • F. Fumagalli • B. Hammer • E. Hüllermeier
SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification.
AISTATS 2024 - 27th International Conference on Artificial Intelligence and Statistics. Valencia, Spain, May 02-04, 2024. URL

[905]

N. Palm • T. Nagler
An Online Bootstrap for Time Series.
AISTATS 2024 - 27th International Conference on Artificial Intelligence and Statistics. Valencia, Spain, May 02-04, 2024. URL

[904]

D. Rügamer
Scalable Higher-Order Tensor Product Spline Models.
AISTATS 2024 - 27th International Conference on Artificial Intelligence and Statistics. Valencia, Spain, May 02-04, 2024. URL

[903]

Z. Ye • G. Peyré • D. Cremers • P. Ablin
Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization.
AISTATS 2024 - 27th International Conference on Artificial Intelligence and Statistics. Valencia, Spain, May 02-04, 2024. URL GitHub

[902]

A. Solderer • S. P. Hicklin • M. Aßenmacher • A. Ender • P. R. Schmidlin
Influence of an allogenic collagen scaffold on implant sites with thin supracrestal tissue height: a randomized clinical trial.
Clinical Oral Investigations 28.313. May. 2024. DOI

[901]

A. Kazemi • A. Rasouli-Saravani • M. Gharib • T. Albuquerque • S. Eslami • P. J. Schüffler
A systematic review of machine learning-based tumor-infiltrating lymphocytes analysis in colorectal cancer: Overview of techniques, performance metrics, and clinical outcomes.
Computers in Biology and Medicine 173. May. 2024. DOI

[900]

K. Jeblick • B. Schachtner • J. Dexl • A. Mittermeier • A. T. Stüber • J. Topalis • T. Weber • P. Wesp • B. O. Sabel • J. Ricke • M. Ingrisch
ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reports.
European Radiology 34. May. 2024. DOI

[899]

W. Qiu • C. Quan • L. Zhu • Y. Yu • Z. Wang • Y. Ma • M. Sun • Y. Chang • K. Qian • B. Hu • Y. Yamamoto • B. W. Schuller
Heart Sound Abnormality Detection From Multi-Institutional Collaboration: Introducing a Federated Learning Framework.
IEEE Transactions on Biomedical Engineering 71.10. May. 2024. DOI

[898]

H. Krasowski • M. Althoff
Provable Traffic Rule Compliance in Safe Reinforcement Learning on the Open Sea.
IEEE Transactions on Intelligent Vehicles Early Access. May. 2024. DOI

[897]

M. Brunner • M. Innerberger • A. Miraçi • D. Praetorius • J. Streitberger • P. Heid
Adaptive FEM with quasi-optimal overall cost for nonsymmetric linear elliptic PDEs.
IMA Journal of Numerical Analysis 44.3. May. 2024. DOI

[896]

V. G. Duque • A. Marquardt • Y. Velikova • L. Lacourpaille • A. Nordez • M. Crouzier • H. J. Lee • D. Mateus • N. Navab
Ultrasound segmentation analysis via distinct and completed anatomical bordersd.
International Journal of Computer Assisted Radiology and Surgery 19. May. 2024. DOI

[895]

M.-A. Gafencu • Y. Velikova • M. Saleh • T. Ungi • N. Navab • T. Wendler • M. F. Azampour
Shape completion in the dark: completing vertebrae morphology from 3D ultrasound.
International Journal of Computer Assisted Radiology and Surgery 19. May. 2024. DOI

[894]

A. Lohrer • D. Kazempour • M. Hünemörder • P. Kröger
CoMadOut—a robust outlier detection algorithm based on CoMAD.
Machine Learning 113. May. 2024. DOI

[893]

A. F. Thielmann • A. Reuter • T. Kneib • D. Rügamer • B. Säfken
Interpretable Additive Tabular Transformer Networks.
Transactions on Machine Learning Research. May. 2024. URL

[892]

R. Debelak • T. Koch • M. Aßenmacher • C. Stachl
From Embeddings to Explainability: A Tutorial on Transformer-Based Text Analysis for Social and Behavioral Scientists.
Preprint (May. 2024). DOI

[891]

K. Hechinger • C. Koller • X. Zhu • G. Kauermann
Human-in-the-loop: Towards Label Embeddings for Measuring Classification Difficulty.
Preprint (May. 2024). arXiv

[890]

K. Heß • D. Frauen • V. Melnychuk • S. Feuerriegel
G-Transformer for Conditional Average Potential Outcome Estimation over Time.
Preprint (May. 2024). arXiv

[889]

C. Kern • M. Kim • A. Zhou
Multi-CATE: Multi-Accurate Conditional Average Treatment Effect Estimation Robust to Unknown Covariate Shifts.
Preprint (May. 2024). arXiv

[888]

X. Zhu • Z. Xiong • Y. Wang • A. J. Stewart • K. Heidler • Y. Wang • Z. Yuan • T. Dujardin • Q. Xu • Y. Shi
On the Foundations of Earth and Climate Foundation Models.
Preprint (May. 2024). arXiv

[887]

N. Strauß • M. Schubert
Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem.
SDM 2024 - SIAM International Conference on Data Mining. Houston, TX, USA, Apr 18-20, 2024. DOI

[886]

C. Leiber
Clustering in transformed feature spaces by analyzing distinct modes.
Dissertation LMU München. Apr. 2024. DOI

[885]

V. Steinborn
Multilingual and multimodal bias probing and mitigation in natural language processing.
Dissertation LMU München. Apr. 2024. DOI

[884]

J. Eudaric • A. Camero • K. Rafiezadeh Shahi • H. Kreibich • S. Martinis • X. Zhu
Rapid unsupervised economic assessment of urban flood damage using SAR images.
EGU 2024 - General Assembly of the European Geosciences Union. Vienna, Austria, Apr 14-19, 2024. DOI

[883]

Y. Mu • M. Shahzad • X. Zhu
A spectral-spatial-temporal attention network for tree species mapping using DESIS hyperspectral imagery.
EGU 2024 - General Assembly of the European Geosciences Union. Vienna, Austria, Apr 14-19, 2024. DOI

[882]

P. Dettling • M. Drton • M. Kolar
On the Lasso for Graphical Continuous Lyapunov Models.
CLeaR 2024 - 3rd Conference on Causal Learning and Reasoning. Los Angeles, CA, USA, Apr 01-03, 2024. URL

[881]

K. Göbler • T. Windisch • M. Drton • T. Pychynski • M. Roth • S. Sonntag
causalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery.
CLeaR 2024 - 3rd Conference on Causal Learning and Reasoning. Los Angeles, CA, USA, Apr 01-03, 2024. URL

[880]

D. Strieder • M. Drton
Dual Likelihood for Causal Inference under Structure Uncertainty.
CLeaR 2024 - 3rd Conference on Causal Learning and Reasoning. Los Angeles, CA, USA, Apr 01-03, 2024. URL

[879]

H. A. Gündüz • R. Mreches • J. Moosbauer • G. Robertson • X.-Y. To • E. A. Franzosa • C. Huttenhower • M. Rezaei • A. C. McHardy • B. Bischl • P. C. Münch • M. Binder
Optimized model architectures for deep learning on genomic data.
Communications Biology 7.1. Apr. 2024. DOI

[878]

M. Herrmann • D. Kazempour • F. Scheipl • P. Kröger
Enhancing cluster analysis via topological manifold learning.
Data Mining and Knowledge Discovery 38. Apr. 2024. DOI

[877]

C. Koller • P. Jung • X. Zhu
Can Land Cover Classification Models Benefit From Distance-Aware Architectures?
IEEE Geoscience and Remote Sensing Magazine 21. Apr. 2024. DOI GitHub

[876]

K. Qian • Y. Wang • P. Jung • Y. Shi • X. Zhu
HyperLISTA-ABT: An Ultralight Unfolded Network for Accurate Multicomponent Differential Tomographic SAR Inversion.
IEEE Transactions on Geoscience and Remote Sensing 62. Apr. 2024. DOI

[875]

Y. Lee • H. Boche • G. Kutyniok
Computability of Optimizers.
IEEE Transactions on Information Theory 70.4. Apr. 2024. DOI

[874]

I. M. Grigore • G. M. Tavares • M. C. Silva • P. Ceravolo • S. Junior
Automated Trace Clustering Pipeline Synthesis in Process Mining.
Information 15.4. Apr. 2024. DOI

[873]

S. Doda • M. Kahl • K. Ouan • I. Obadic • Y. Wang • H. Taubenböck • X. Zhu
Interpretable deep learning for consistent large-scale urban population estimation using Earth observation data.
International Journal of Applied Earth Observation and Geoinformation 128. Apr. 2024. DOI

[872]

J. Guo • D. Hong • X. Zhu
High-resolution satellite images reveal the prevalent positive indirect impact of urbanization on urban tree canopy coverage in South America.
Landscape and Urban Planning 247. Apr. 2024. DOI

[871]

S. Feuerriegel • D. Frauen • V. Melnychuk • J. Schweisthal • K. Heß • A. Curth • S. Bauer • N. Kilbertus • I. S. Kohane • M. van der Schaar
Causal machine learning for predicting treatment outcomes.
Nature Medicine 30. Apr. 2024. DOI

[870]

A. Triantafyllopoulos • B. W. Schuller
Expressivity and Speech Synthesis.
Oxford Handbook of Expressivity in Language. Apr. 2024. arXiv URL

[869]

G. S. Collins • K. G. M. Moons • P. Dhiman • R. D. Riley • A. L. Beam • B. Van Calster • M. Ghassemi • X. Liu • J. B. Reitsma • M. van Smeden • A.-L. Boulesteix • J. C. Camaradou • L. A. Celi • S. Denaxas • A. K. Denniston • B. Glocker • R. M. Golub • H. Harvey • G. Heinze • M. M. Hoffman • A. P. Kengne • E. Lam • N. Lee • E. W. Loder • L. Maier-Hein • B. A. Mateen • M. D. McCradden • L. Oakden-Rayner • J. Ordish • R. Parnell • S. Rose • K. Singh • L. Wynants • P. Logullo
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods.
The BMJ 385.e078378. Apr. 2024. DOI

[868]

V. Gkolemis • C. Diou • E. Ntoutsi • T. Dalamagas • B. Bischl • J. Herbinger • G. Casalicchio
Effector: A Python package for regional explanations.
Preprint (Apr. 2024). arXiv GitHub

[867]

P. Hofman • Y. Sale • E. Hüllermeier
Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules.
Preprint (Apr. 2024). arXiv

[866]

P. Lin • S. Ji • J. Tiedemann • A. F. T. Martins • H. Schütze
MaLA-500: Massive Language Adaptation of Large Language Models.
Preprint (Apr. 2024). arXiv GitHub

[865]

Y. Mansour • R. Heckel
GAMA-IR: Global Additive Multidimensional Averaging for Fast Image Restoration.
Preprint (Apr. 2024). arXiv

[864]

Y. Mu • J. Guo • M. Shahzad • X. Zhu
Nationwide Tree Species Mapping in Germany with Forestformer: Assessing Forest Resilience and Unveiling Distribution Patterns.
Preprint (Apr. 2024). DOI

[863]

L. Rottkamp • M. Schubert
A Time-Inhomogeneous Markov Model for Resource Availability under Sparse Observations.
Preprint (Apr. 2024). arXiv

[862]

M. Wünsch • M. Herrmann • E. Noltenius • M. Mohr • T. P. Morris • A.-L. Boulesteix
On the handling of method failure in comparison studies.
Preprint (Apr. 2024). arXiv

[861]

Z. Xiong • F. Zhang • Y. Wang • Y. Shi • X. Zhu
EarthNets: Empowering AI in Earth Observation.
Preprint (Apr. 2024). arXiv GitHub

[860]

X. Zhu • Q. Li • Y. Shi • Y. Wang • A. J. Stewart • J. Prexl
GlobalBuildingMap -- Unveiling the Mystery of Global Buildings.
Preprint (Apr. 2024). arXiv

[859]

X. Zhu • Y. Zeng • J. Guo
Enhancing the Understanding of Urban Green Space Cooling Effects in China's Major Cities with a Sub-Meter Dataset.
Preprint (Apr. 2024). DOI

[858]

A. Maronikolakis • A. Köksal • H. Schütze
Sociocultural knowledge is needed for selection of shots in hate speech detection tasks.
LT-EDI 2024 - 4th Workshop on Language Technology for Equality, Diversity, Inclusion. St. Julian’s, Malta, Mar 21, 2024. URL

[857]

C. Gruber • K. Hechinger • M. Aßenmacher • G. Kauermann • B. Plank
More Labels or Cases? Assessing Label Variation in Natural Language Inference.
UnImplicit 2024 - 3rd Workshop on Understanding Implicit and Underspecified Language. Malta, Mar 21, 2024. URL

[856]

S. Peng • Z. Sun • S. Loftus • B. Plank
Different Tastes of Entities: Investigating Human Label Variation in Named Entity Annotations.
UnImplicit 2024 - 3rd Workshop on Understanding Implicit and Underspecified Language. Malta, Mar 21, 2024. URL

[855]

V. Ehm • P. Roetzer • M. Eisenberger • M. Gao • F. Bernard • D. Cremers
Geometrically Consistent Partial Shape Matching.
3DV 2024 - 11th International Conference on 3D Vision. Davos, Switzerland, Mar 18-21, 2024. DOI GitHub

[854]

A. Hayler • F. Wimbauer • D. Muhle • C. Rupprecht • D. Cremers
S4C: Self-Supervised Semantic Scene Completion with Neural Fields.
3DV 2024 - 11th International Conference on 3D Vision. Davos, Switzerland, Mar 18-21, 2024. DOI

[853]

S. Klenk • M. Motzet • L. Koestler • D. Cremers
Deep Event Visual Odometry.
3DV 2024 - 11th International Conference on 3D Vision. Davos, Switzerland, Mar 18-21, 2024. DOI

[852]

E. Artemova • V. Blaschke • B. Plank
Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties.
EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. URL

[851]

J. Baan • R. Fernández • B. Plank • W. Aziz
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation?
EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. URL

[850]

B. Ma • E. Nie • S. Yuan • H. Schmid • M. Färber • F. Kreuter • H. Schütze
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks.
EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. URL

[849]

M. Zhang • R. van der Goot • M.-Y. Kan • B. Plank
NNOSE: Nearest Neighbor Occupational Skill Extraction.
EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. URL

[848]

L. K. Senel • B. Ebing • K. Baghirova • H. Schütze • G. Glavaš
Kardeş-NLU: Transfer to Low-Resource Languages with Big Brother’s Help – A Benchmark and Evaluation for Turkic Languages.
EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. Outstanding Paper Award. URL

[847]

P. Lin • C. Hu • Z. Zhang • A. Martins • H. Schütze
mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models.
Findings @EACL 2024 - Findings of the 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. URL

[846]

M. Zhang • R. van der Goot • B. Plank
Entity Linking in the Job Market Domain.
Findings @EACL 2024 - Findings of the 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. URL

[845]

A. Sorensen • S. Peng • B. Plank • R. Goot
EEVEE: An Easy Annotation Tool for Natural Language Processing.
LAW @EACL 2024 - 18th Linguistic Annotation Workshop at the 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. URL

[844]

L. Weber-Genzel • R. Litschko • E. Artemova • B. Plank
Donkii: Characterizing and Detecting Errors in Instruction-Tuning Datasets.
LAW @EACL 2024 - 18th Linguistic Annotation Workshop at the 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. URL

[843]

J. Beck • S. Eckman • B. Ma • R. Chew • F. Kreuter
Order Effects in Annotation Tasks: Further Evidence of Annotation Sensitivity.
UncertaiNLP @EACL 2024 - 1st Workshop on Uncertainty-Aware NLP at the 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. URL

[842]

M. Zaiss • J. R. Rajput • H. N. Dang • V. Golkov • D. Cremers • F. Knoll • A. Maier
GPT4MR: Exploring GPT-4 as an MR Sequence and Reconstruction Programming Assistant.
BVM 2024 - German Conference on Medical Image Computing -Bildverarbeitung für die Medizin. Erlangen, Germany, Mar 10-02, 2024. DOI

[841]

P. Wesp
Application of machine learning in CT colonography and radiological age assessment: enhancing traditional diagnostics in radiology.
Dissertation LMU München. Mar. 2024. DOI

[840]

S. Dandl • C. Haslinger • T. Hothorn • H. Seibold • E. Sverdrup • S. Wager • A. Zeileis
What Makes Forest-Based Heterogeneous Treatment Effect Estimators Work?
Annals of Applied Statistics 18.1. Mar. 2024. DOI

[839]

F. Coens • N. Knops • I. Tieken • S. Vogelaar • A. Bender • J. J. Kim • K. Krupka • L. Pape • A. Raes • B. Tönshoff • A. Prytula • C. Registry
Time-Varying Determinants of Graft Failure in Pediatric Kidney Transplantation in Europe.
Clinical Journal of the American Society of Nephrology 19.3. Mar. 2024. DOI

[838]

S. T. Arasteh • A. Ziller • C. Kuhl • M. Makowski • S. Nebelung • R. Braren • D. Rückert • D. Truhn • G. Kaissis
Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging.
Communications Medicine 4.46. Mar. 2024. DOI

[837]

W. H. Hartl • P. Kopper • L. Xu • L. Heller • M. Mironov • R. Wang • A. G. Day • G. Elke • H. Küchenhoff • A. Bender
Relevance of Protein Intake for Weaning in the Mechanically Ventilated Critically Ill: Analysis of a Large International Database.
Critical Care Medicine 50.3. Mar. 2024. DOI

[836]

M. Maritsch • S. Föll • V. Lehmann • N. Styger • C. Bérubé • M. Kraus • S. Feuerriegel • T. Kowatsch • T. Züger • E. Fleisch • F. Wortmann • C. Stettler
Smartwatches for non-invasive hypoglycaemia detection during cognitive and psychomotor stress.
Diabetes, Obesity and Metabolism 26.3. Mar. 2024. DOI

[835]

P. J. Schüffler • K. Steiger • C. Mogler
Künstliche Intelligenz in der Pathologie – wie, wo und warum?
Die Pathologie. Mar. 2024. DOI

[834]

Q. Li • L. Mou • Y. Sun • Y. Hua • Y. Shi • X. Zhu
A Review of Building Extraction From Remote Sensing Imagery: Geometrical Structures and Semantic Attributes.
IEEE Transactions on Geoscience and Remote Sensing 62. Mar. 2024. DOI

[833]

Z. Yuan • L. Mou • Y. Hua • X. Zhu
RRSIS: Referring Remote Sensing Image Segmentation.
IEEE Transactions on Geoscience and Remote Sensing 62. Mar. 2024. DOI GitHub

[832]

B. X. Liew • F. Pfisterer • D. Rügamer • X. Zhai
Strategies to optimise machine learning classification performance when using biomechanical features.
Journal of Biomechanics 165. Mar. 2024. DOI

[831]

N. Sturma • M. Drton • D. Leung
Testing many constraints in possibly irregular models using incomplete U-statistics.
Journal of the Royal Statistical Society. Series B (Statistical Methodology) 86.4. Mar. 2024. DOI

[830]

J. Gertheiss • D. Rügamer • S. Greven
Methoden für die Analyse funktionaler Daten.
Moderne Verfahren der Angewandten Statistik. Mar. 2024. DOI

[829]

M. M. Mandl • S. Hoffmann • S. Bieringer • A. E. Jacob • M. Kraft • S. Lemster • A.-L. Boulesteix
Raising awareness of uncertain choices in empirical data analysis: A teaching concept toward replicable research practices.
PLOS Computational Biology 20.3. Mar. 2024. DOI

[828]

S. Dandl • A. Bender • T. Hothorn
Heterogeneous treatment effect estimation for observational data using model-based forests.
Statistical Methods in Medical Research 33.3. Mar. 2024. DOI

[827]

R. Bailo • A. Barbaro • S. N. Gomes • K. Riedl • T. Roith • C. Totzeck • U. Vaes
CBX: Python and Julia packages for consensus-based interacting particle methods.
Preprint (Mar. 2024). arXiv

[826]

B. Lorenz • A. Bacho • G. Kutyniok
Error Estimation for Physics-informed Neural Networks Approximating Semilinear Wave Equations.
Preprint (Mar. 2024). arXiv

[825]

A. Reuter • A. Thielmann • C. Weisser • S. F. Fischer • B. Säfken
GPTopic: Dynamic and Interactive Topic Representations.
Preprint (Mar. 2024). arXiv GitHub

[824]

M. Singh • A. Fono • G. Kutyniok
Expressivity of Spiking Neural Networks.
Preprint (Mar. 2024). arXiv

[823]

C. Wachinger • D. M. Hedderich • F. Bongratz
Stochastic Cortical Self-Reconstruction.
Preprint (Mar. 2024). arXiv

[822]

L. Weissweiler • A. Köksal • H. Schütze
Hybrid Human-LLM Corpus Construction and LLM Evaluation for Rare Linguistic Phenomena.
Preprint (Mar. 2024). arXiv

[821]

Z. Xiong • Y. Wang • F. Zhang • A. J. Stewart • J. Hanna • D. Borth • I. Papoutsis • B. Le Saux • G. Camps-Valls • X. Zhu
Neural Plasticity-Inspired Multimodal Foundation Model for Earth Observation.
Preprint (Mar. 2024). arXiv

[820]

H. Chen • Y. Zhang • D. Krompass • J. Gu • V. Tresp
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning.
AAAI 2024 - 38th Conference on Artificial Intelligence. Vancouver, Canada, Feb 20-27, 2024. DOI

[819]

P. Kolpaczki • V. Bengs • M. Muschalik • E. Hüllermeier
Approximating the Shapley Value without Marginal Contributions.
AAAI 2024 - 38th Conference on Artificial Intelligence. Vancouver, Canada, Feb 20-27, 2024. DOI

[818]

J. Lienen • E. Hüllermeier
Mitigating Label Noise through Data Ambiguation.
AAAI 2024 - 38th Conference on Artificial Intelligence. Vancouver, Canada, Feb 20-27, 2024. DOI

[817]

M. Muschalik • F. Fumagalli • B. Hammer • E. Hüllermeier
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles.
AAAI 2024 - 38th Conference on Artificial Intelligence. Vancouver, Canada, Feb 20-27, 2024. DOI

[816]

T. N. Wolf • F. Bongratz • A.-M. Rickmann • S. Pölsterl • C. Wachinger
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning.
AAAI 2024 - 38th Conference on Artificial Intelligence. Vancouver, Canada, Feb 20-27, 2024. DOI

[815]

A. Portafaix • P. Reidler • B. Sabel • J. Dexl • K. Jeblick • A. Mittermeier • M. Ingrisch • T. Fevens
Computer vision-based guidance tool for correct radiographic hand positioning.
SPIE 2024 - SPIE Medical Imaging: Image Perception, Observer Performance, and Technology Assessment. San Diego, CA, USA, Feb 18-22, 2024. DOI

[814]

K. Geißler • A. Ambroladze • N. Papenberg • T. L. Koller • H. Amer • E. M. Fallenberg • S. A. Kurt • M. Ingrisch • H. K. Hahn
Deformable current-prior registration of DCE breast MR images on multi-site data.
SPIE 2024 - SPIE Medical Imaging: Image Processing. San Diego, CA, USA, Feb 18-22, 2024. DOI

[813]

A. Reithmeir • J. A. Schnabel • V. A. Zimmer
Learning physics-inspired regularization for medical image registration with hypernetworks.
SPIE 2024 - SPIE Medical Imaging: Image Processing. San Diego, CA, USA, Feb 18-22, 2024. DOI GitHub

[812]

R. van Koningsbruggen • L. Haliburton • B. Rossmy • C. George • E. Hornecker • B. Hengeveld
Metaphors and `Tacit' Data: the Role of Metaphors in Data and Physical Data Representations.
TEI 2024 - 18th International Conference on Tangible, Embedded, and Embodied Interaction. Cork, Ireland, Feb 11-14, 2024. DOI

[811]

A. Farshad
Learning to Learn Neural Representations with Limited Data and Supervision.
Dissertation TU München. Feb. 2024. URL

[810]

S. Wiegrebe • P. Kopper • R. Sonabend • B. Bischl • A. Bender
Deep learning for survival analysis: a review.
Artificial Intelligence Review 57.65. Feb. 2024. DOI

[809]

S. Feuerriegel • J. Hartmann • C. Janiesch • P. Zschech
Generative AI.
Business and Information Systems Engineering 66.1. Feb. 2024. DOI

[808]

C. A. Scholbeck • G. Casalicchio • C. Molnar • B. Bischl • C. Heumann
Marginal Effects for Non-Linear Prediction Functions.
Data Mining and Knowledge Discovery 38. Feb. 2024. DOI

[807]

T. Li • K. Heidler • L. Mou • Á. Ignéczi • X. Zhu • J. L. Bamber
A high-resolution calving front data product for marine-terminating glaciers in Svalbard.
Earth System Science Data 16.2. Feb. 2024. DOI

[806]

B. X. W. Liew • D. Rügamer • A. V. Birn-Jeffery
Neuromechanical stabilisation of the centre of mass during running.
Gait and Posture 108. Feb. 2024. DOI

[805]

A. Mallol-Ragolta • B. W. Schuller
Coupling Sentiment and Arousal Analysis Towards an Affective Dialogue Manager.
IEEE Access 12. Feb. 2024. DOI

[804]

Y. Xie • X. Yuan • X. Zhu • J. Tian
Multimodal Co-Learning for Building Change Detection: A Domain Adaptation Framework Using VHR Images and Digital Surface Models.
IEEE Transactions on Geoscience and Remote Sensing 62. Feb. 2024. DOI

[803]

H. Weerts • F. Pfisterer • M. Feurer • K. Eggensperger • E. Bergman • N. Awad • J. Vanschoren • M. Pechenizkiy • B. Bischl • F. Hutter
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML.
Journal of Artificial Intelligence Research 79. Feb. 2024. DOI

[802]

P. Gijsbers • M. L. P. Bueno • S. Coors • E. LeDell • S. Poirier • J. Thomas • B. Bischl • J. Vanschoren
AMLB: an AutoML Benchmark.
Journal of Machine Learning Research 25.101. Feb. 2024. URL

[801]

D. Schalk • B. Bischl • D. Rügamer
Privacy-Preserving and Lossless Distributed Estimation of High-Dimensional Generalized Additive Mixed Models.
Statistics and Computing 34.31. Feb. 2024. DOI

[800]

E. Nie • S. Yuan • B. Ma • H. Schmid • M. Färber • F. Kreuter • H. Schütze
Decomposed Prompting: Unveiling Multilingual Linguistic Structure Knowledge in English-Centric Large Language Models.
Preprint (Feb. 2024). arXiv

[799]

A. Chronopoulou
Efficient multilingual and domain adaptation of language models under resource constraints.
Dissertation LMU München. Jan. 2024. DOI

[798]

C. Geldhauser • H. Diebel-Fischer
Is diverse and inclusive AI trapped in the gap between reality and algorithmizability?
NLDL 2024 - Northern Lights Deep Learning Conference. Tromsø, Norway, Jan 09-11, 2024. URL

[797]

M. Bernhard • R. Amoroso • Y. Kindermann • M. Schubert • L. Baraldi • R. Cucchiara • V. Tresp
What's Outside the Intersection? Fine-grained Error Analysis for Semantic Segmentation Beyond IoU.
WACV 2024 - IEEE/CVF Winter Conference on Applications of Computer Vision. Waikoloa, Hawaii, Jan 04-08, 2024. DOI GitHub

[796]

M. Brahimi • B. Haefner • T. Yenamandra • B. Goldluecke • D. Cremers
SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering.
WACV 2024 - IEEE/CVF Winter Conference on Applications of Computer Vision. Waikoloa, Hawaii, Jan 04-08, 2024. DOI

[795]

S. Klenk • D. Bonello • L. Koestler • N. Araslanov • D. Cremers
Masked Event Modeling: Self-Supervised Pretraining for Event Cameras.
WACV 2024 - IEEE/CVF Winter Conference on Applications of Computer Vision. Waikoloa, Hawaii, Jan 04-08, 2024. DOI

[794]

U. Sahin • H. Li • Q. Khan • D. Cremers • V. Tresp
Enhancing Multimodal Compositional Reasoning of Visual Language Models With Generative Negative Mining.
WACV 2024 - IEEE/CVF Winter Conference on Applications of Computer Vision. Waikoloa, Hawaii, Jan 04-08, 2024. DOI GitHub

[793]

T. Tewari • N. Yang • F. Bernard • C. Theobalt • D. Cremers
FIRe: Fast Inverse Rendering Using Directional and Signed Distance Functions.
WACV 2024 - IEEE/CVF Winter Conference on Applications of Computer Vision. Waikoloa, Hawaii, Jan 04-08, 2024. DOI

[792]

T. Weber • M. Ingrisch • B. Bischl • D. Rügamer
Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction.
WACV 2024 - IEEE/CVF Winter Conference on Applications of Computer Vision. Waikoloa, Hawaii, Jan 04-08, 2024. DOI

[791]

G. Zhang • Y. Zhang • K. Zhang • V. Tresp
Can Vision-Language Models be a Good Guesser? Exploring VLMs for Times and Location Reasoning.
WACV 2024 - IEEE/CVF Winter Conference on Applications of Computer Vision. Waikoloa, Hawaii, Jan 04-08, 2024. DOI GitHub

[790]

E. Hüllermeier • R. Slowinski
Preference learning and multiple criteria decision aiding: Differences, commonalities, and synergies -- Part I.
4OR. Jan. 2024. DOI

[789]

E. Hüllermeier • R. Slowinski
Preference learning and multiple criteria decision aiding: Differences, commonalities, and synergies -- Part II.
4OR. Jan. 2024. DOI

[788]

B. Bischl • R. Sonabend • L. Kotthoff • M. Lang
Applied Machine Learning Using mlr3 in R.
American Statistician 79.2. Jan. 2024. DOI

[787]

G. Casalicchio • L. Burk
Evaluation and Benchmarking.
Applied Machine Learning Using mlr3 in R I.3. Jan. 2024. DOI

[786]

M. Becker • L. Schneider • S. Fischer
Hyperparameter Optimization.
Applied Machine Learning Using mlr3 in R II.4. Jan. 2024. DOI

[785]

L. Schneider • M. Becker
Advanced Tuning Methods and Black Box Optimization.
Applied Machine Learning Using mlr3 in R II.5. Jan. 2024. DOI

[784]

M. Binder • F. Pfisterer
Sequential Pipelines.
Applied Machine Learning Using mlr3 in R II.7. Jan. 2024. DOI

[783]

M. Binder • F. Pfisterer • M. Becker • M. N. Wright
Non-sequential Pipelines and Tuning.
Applied Machine Learning Using mlr3 in R II.8. Jan. 2024. DOI

[782]

M. Lang • S. F. Fischer • R. Sonabend
Advanced Technical Aspects of mlr3.
Applied Machine Learning Using mlr3 in R IV.10. Jan. 2024. DOI

[781]

S. Fischer • M. Lang • M. Becker
Large-Scale Benchmarking.
Applied Machine Learning Using mlr3 in R IV.11. Jan. 2024. DOI

[780]

S. Dandl • P. Biecek • G. Casalicchio • M. N. Wright
Model Interpretation.
Applied Machine Learning Using mlr3 in R IV.12. Jan. 2024. DOI

[779]

C. Sauer • S. Hoffmann • T. Ullmann • A.-L. Boulesteix
Explaining the optimistic performance evaluation of newly proposed methods: A cross-design validation experiment.
Biometrical Journal 66.1. Jan. 2024. DOI

[778]

J. Xie • Y. Shi • D. Ni • M. Milling • S. Liu • J. Zhang • K. Qian • B. W. Schuller
Automatic Bird Sound Source Separation Based on Passive Acoustic Devices in Wild Environment.
IEEE Internet of Things Journal 11.9. Jan. 2024. DOI

[777]

T. Yang • J. Maly • S. Dirksen • G. Caire
Plug-In Channel Estimation With Dithered Quantized Signals in Spatially Non-Stationary Massive MIMO Systems.
IEEE Transactions on Communications 72.1. Jan. 2024. DOI

[776]

F. Zhang • Y. Shi • Z. Xiong • X. Zhu
Few-Shot Object Detection in Remote Sensing: Lifting the Curse of Incompletely Annotated Novel Objects.
IEEE Transactions on Geoscience and Remote Sensing 62. Jan. 2024. DOI GitHub

[775]

L. Kreitner • J. C. Paetzold • N. Rauch • C. Chen • A. M. Hagag • A. E. Fayed • S. Sivaprasad • S. Rausch • J. Weichsel • B. H. Menze • M. Harders • B. Knier • D. Rückert • M. J. Menten
Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations.
IEEE Transactions on Medical Imaging 43.6. Jan. 2024. DOI

[774]

P. Wesp • B. Schachtner • K. Jeblick • J. Topalis • M. Weber • F. Fischer • R. Penning • J. Ricke • M. Ingrisch • B. O. Sabel
Radiological age assessment based on clavicle ossification in CT: enhanced accuracy through deep learning.
International Journal of Legal Medicine. Jan. 2024. DOI

[773]

F. Bongratz • A.-M. Rickmann • C. Wachinger
Neural deformation fields for template-based reconstruction of cortical surfaces from MRI.
Medical Image Analysis 93. Jan. 2024. DOI

[772]

V. Lehmann • T. Zueger • M. Maritsch • M. Notter • S. Schallmoser • C. Bérubé • C. Albrecht • M. Kraus • S. Feuerriegel • E. Fleisch • T. Kowatsch • S. Lagger • M. Laimer • F. Wortmann • C. Stettler
Machine Learning to Infer a Health State Using Biomedical Signals - Detection of Hypoglycemia in People with Diabetes while Driving Real Cars.
NEJM AI. Jan. 2024. DOI

[771]

A. Gayoso • P. Weiler • M. Lotfollahi • D. Klein • J. Hong • A. Streets • F. J. Theis • N. Yosef
Deep generative modeling of transcriptional dynamics for RNA velocity analysis in single cells.
Nature Methods 21. Jan. 2024. DOI

[770]

D. Zhu • Q. Khan • D. Cremers
Multi-vehicle trajectory prediction and control at intersections using state and intention information.
Neurocomputing 574. Jan. 2024. DOI GitHub

[769]

B. S. Siepe • F. Bartoš • T. P. Morris • A.-L. Boulesteix • D. W. Heck • S. Pawel
Simulation Studies for Methodological Research in Psychology: A Standardized Template for Planning, Preregistration, and Reporting.
Psychological Methods Advance online publication. Jan. 2024. DOI

[768]

Z. S. Dunias • B. Van Calster • D. Timmerman • A.-L. Boulesteix • M. van Smeden
A comparison of hyperparameter tuning procedures for clinical prediction models: A simulation study.
Statistics in Medicine. Jan. 2024. DOI

[767]

R. Hornung • F. Ludwigs • J. Hagenberg • A.-L. Boulesteix
Prediction approaches for partly missing multi-omics covariate data: A literature review and an empirical comparison study.
Wiley Interdisciplinary Reviews: Computational Statistics 16.1. Jan. 2024. DOI

[766]

M. Wünsch • C. Sauer • P. Callahan • L. C. Hinske • A.-L. Boulesteix
From RNA sequencing measurements to the final results: a practical guide to navigating the choices and uncertainties of gene set analysis.
Wiley Interdisciplinary Reviews: Computational Statistics 16.1. Jan. 2024. DOI

[765]

D. Di Fraia • A. Marino • J. H. Lee • E. Kelmer Sacramento • M. Baumgart • S. Bagnoli • P. T. da Silva • A. K. Sahu • G. Siano • M. Tiessen • E. Terzibasi-Tozzini • J. Gagneur • J. Frydman • A. Cellerino • A. Ori
Impaired biogenesis of basic proteins impacts multiple hallmarks of the aging brain.
Preprint (Jan. 2024). DOI

[764]

S. Dirksen • J. Maly
Tuning-free one-bit covariance estimation using data-driven dithering.
Preprint (Jan. 2024). arXiv

[763]

P. Wicke
Probing Language Models' Gesture Understanding for Enhanced Human-AI Interaction.
Preprint (Jan. 2024). arXiv

2023

[762]

V. Margraf • A. Lappe • M. Wever • C. Benjamins • E. Hüllermeier • M. Lindauer
SynthACticBench: A Capability-Based Synthetic Benchmark for Algorithm Configuration.
GECCO 2025 - Genetic and Evolutionary Computation Conference. Málaga, Spain, Jul 14-18, 2025. DOI GitHub

[761]

J. Goschenhofer
Reducing the effort for data annotation: contributions to weakly supervised deep learning.
Dissertation LMU München. Dec. 2023. DOI

[760]

H. A. Gündüz • S. Giri • M. Binder • B. Bischl • M. Rezaei
Uncertainty Quantification for Deep Learning Models Predicting the Regulatory Activity of DNA Sequences.
ICMLA 2023 - 22nd IEEE International Conference on Machine Learning and Applications. Jacksonville, FL, USA, Dec 15-17, 2023. DOI

[759]

M. von Zahn • O. Hinz • S. Feuerriegel
Locating disparities in machine learning.
IEEE BigData 2023 - IEEE International Conference on Big Data. Sorrento, Italy, Dec 15-18, 2023. DOI

[758]

X. Li • E. Nie • S. Liang
From Classification to Generation: Insights into Crosslingual Retrieval Augmented ICL.
Instruction Tuning and Instruction Following @NeurIPS 2023 - Workshop Instruction Tuning and Instruction Following at the 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL

[757]

S. Chen • J. Gu • Z. Han • Y. Ma • P. Torr • V. Tresp
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL GitHub

[756]

D. Frauen • V. Melnychuk • S. Feuerriegel
Sharp Bounds for Generalized Causal Sensitivity Analysis.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL

[755]

F. Fumagalli • M. Muschalik • P. Kolpaczki • E. Hüllermeier • B. Hammer
SHAP-IQ: Unified Approximation of any-order Shapley Interactions.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL

[754]

M. Ghahremani • C. Wachinger
RegBN: Batch Normalization of Multimodal Data with Regularization.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL GitHub

[753]

G. Kaissis • A. Ziller • S. Kolek • A. Riess • D. Rückert
Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL

[752]

C. Kümmerle • J. Maly
Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL

[751]

S. Maskey • R. Paolino • A. Bacho • G. Kutyniok
A Fractional Graph Laplacian Approach to Oversmoothing.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL GitHub

[750]

V. Melnychuk • D. Frauen • S. Feuerriegel
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL

[749]

S. Šćepanović • I. Obadic • S. Joglekar • L. Giustarini • C. Nattero • D. Quercia • X. Zhu
MedSat: A Public Health Dataset for England Featuring Medical Prescriptions and Satellite Imagery.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL

[748]

Y. Scholten • J. Schuchardt • A. Bojchevski • S. Günnemann
Hierarchical randomized smoothing.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL

[747]

J. Schuchardt • Y. Scholten • S. Günnemann
Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL

[746]

J. Schweisthal • D. Frauen • V. Melnychuk • S. Feuerriegel
Reliable Off-Policy Learning for Dosage Combinations.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL

[745]

M. Seleznova • D. Weitzner • R. Giryes • G. Kutyniok • H.-H. Chou
Neural (Tangent Kernel) Collapse.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL

[744]

N. Sturma • C. Squires • M. Drton • C. Uhler
Unpaired Multi-Domain Causal Representation Learning.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL

[743]

G. Zhai • E. P. Örnek • S.-C. Wu • Y. Di • F. Tombari • N. Navab • B. Busam
CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusion.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL

[742]

S. Zhang • P. Wicke • L. K. Senel • L. Figueredo • A. Naceri • S. Haddadin • B. Plank • H. Schütze
LoHoRavens: A Long-Horizon Language-Conditioned Benchmark for Robotic Tabletop Manipulation.
Robot Learning @NeurIPS 2023 - 6th Robot Learning Workshop: Pretraining, Fine-Tuning, and Generalization with Large Scale Models at the 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL

[741]

R. Liao • X. Jia • Y. Ma • V. Tresp
GenTKG: Generative Forecasting on Temporal Knowledge Graph.
TGL 2023 @NeurIPS 2023 - Workshop Temporal Graph Learning at the 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL

[740]

M. Singh • A. Fono • G. Kutyniok
Are Spiking Neural Networks more expressive than Artificial Neural Networks?
UniReps @NeurIPS 2023 - 1st Workshop on Unifying Representations in Neural Models at the 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL

[739]

A. Koebler • T. Decker • M. Lebacher • I. Thon • V. Tresp • F. Buettner
Towards Explanatory Model Monitoring.
XAIA 2023 @NeurIPS 2023 - Workshop XAI in Action: Past, Present, and Future Applications at the 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL

[738]

Y. Zhang • Y. Li • H. Brown • M. Rezaei • B. Bischl • P. Torr • A. Khakzar • K. Kawaguchi
AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments.
XAIA 2023 @NeurIPS 2023 - Workshop XAI in Action: Past, Present, and Future Applications at the 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. URL

[737]

M. F. Azampour • Y. Velikova • E. Fatemizadeh • S. P. Dakua • N. Navab
Self-supervised Probe Pose Regression via Optimized Ultrasound Representations for US-CT Fusion.
MICAD 2023 - International Conference on Medical Imaging and Computer-Aided Diagnosis. Cambridge, UK, Dec 09-10, 2023. DOI GitHub

[736]

X. Li • E. Nie • S. Liang
Crosslingual Retrieval Augmented In-context Learning for Bangla.
BLP 2023 - 1st Workshop on Bangla Language Processing. Singapore, Dec 07, 2023. DOI

[735]

Z. Zhang • H. Yang • B. Ma • D. Rügamer • E. Nie
Baby's CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models.
BabyLM Challenge @CoNLL 2023) - BabyLM Challenge at the 27th Conference on Computational Natural Language Learning. Singapore, Dec 06-10, 2023. DOI GitHub

[734]

S. Dandl
Causality concepts in machine learning: heterogeneous treatment effect estimation with machine learning and model interpretation with counterfactual and semi-factual explanations.
Dissertation LMU München. Dec. 2023. DOI

[733]

E. Garces Arias • V. Pai • M. Schöffel • C. Heumann • M. Aßenmacher
Automatic transcription of handwritten Old Occitan language.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI

[732]

M. Giulianelli • J. Baan • W. Aziz • R. Fernández • B. Plank
What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI

[731]

N. Kassner • O. Tafjord • A. Sabharwal • K. Richardson • H. Schütze • P. Clark
Language Models with Rationality.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI

[730]

R. Litschko • M. Müller-Eberstein • R. van der Goot • L. Weber-Genzel • B. Plank
Establishing Trustworthiness: Rethinking Tasks and Model Evaluation.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI

[729]

M. Wang • H. Adel • L. Lange • J. Strötgen • H. Schütze
GradSim: Gradient-Based Language Grouping for Effective Multilingual Training.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI

[728]

X. Wang • B. Plank
ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI

[727]

L. Weissweiler • V. Hofmann • A. Kantharuban • A. Cai • R. Dutt • A. Hengle • A. Kabra • A. Kulkarni • A. Vijayakumar • H. Yu • H. Schütze • K. Oflazer • D. Mortensen
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI

[726]

M. Weller-Di Marco • K. Hämmerl • A. Fraser
A Study on Accessing Linguistic Information in Pre-Trained Language Models by Using Prompts.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI

[725]

S. Xu • S. T.y.s.s • O. Ichim • I. Risini • B. Plank • M. Grabmair
From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI

[724]

A. H. Kargaran • A. Imani • F. Yvon • H. Schütze
GlotLID: Language Identification for Low-Resource Languages.
Findings @EMNLP 2023 - Findings of the Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI GitHub

[723]

A. Köksal • T. Schick • H. Schütze
MEAL: Stable and Active Learning for Few-Shot Prompting.
Findings @EMNLP 2023 - Findings of the Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI GitHub

[722]

A. Köksal • O. Yalcin • A. Akbiyik • M. T. Kilavuz • A. Korhonen • H. Schütze
Language-Agnostic Bias Detection in Language Models with Bias Probing.
Findings @EMNLP 2023 - Findings of the Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI GitHub

[721]

W. Lai • A. Chronopoulou • A. Fraser
Mitigating Data Imbalance and Representation Degeneration in Multilingual Machine Translation.
Findings @EMNLP 2023 - Findings of the Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI

[720]

Y. Liu • H. Ye • L. Weissweiler • R. Pei • H. Schütze
Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs.
Findings @EMNLP 2023 - Findings of the Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI

[719]

M. Müller-Eberstein • R. van der Goot • B. Plank • I. Titov
Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training.
Findings @EMNLP 2023 - Findings of the Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI

[718]

E. Nie • H. Schmid • H. Schütze
Unleashing the Multilingual Encoder Potential: Boosting Zero-Shot Performance via Probability Calibration.
Findings @EMNLP 2023 - Findings of the Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI

[717]

V. Hangya • S. Severini • R. Ralev • A. Fraser • H. Schütze
Multilingual Word Embeddings for Low-Resource Languages using Anchors and a Chain of Related Languages.
MRL @EMNLP 2023 - 3rd Workshop on Multi-lingual Representation Learning at the Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI

[716]

J. Herbinger
On grouping and partitioning approaches in interpretable machine learning.
Dissertation LMU München. Dec. 2023. DOI

[715]

L. Haliburton • B. Rossmy • A. Schmidt • C. George
An Exploration of Hidden Data: Identifying and Physicalizing Personal Virtual Data to Extend Co-located Communication.
MUM 2023 - 22nd International Conference on Mobile and Ubiquitous Multimedia. Vienna, Austria, Dec 03-06, 2023. DOI

[714]

F. Karl • T. Pielok • J. Moosbauer • F. Pfisterer • S. Coors • M. Binder • L. Schneider • J. Thomas • J. Richter • M. Lang • E. C. Garrido-Merchán • J. Branke • B. Bischl
Multi-Objective Hyperparameter Optimization in Machine Learning—An Overview.
ACM Transactions on Evolutionary Learning and Optimization 3.4. Dec. 2023. DOI

[713]

D. Geißler • D. Bär • N. Pröllochs • S. Feuerriegel
Russian propaganda on social media during the 2022 invasion of Ukraine.
EPJ Data Science. Dec. 2023. DOI

[712]

J. Rausch • G. Rashiti • M. Gusev • C. Zhang • S. Feuerriegel
DSG: An End-to-End Document Structure Generator.
ICDM 2023 - 23rd IEEE International Conference on Data Mining. Shanghai, China, Dec 01-04, 2023. DOI

[711]

C. Koller • G. Kauermann • X. Zhu
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance in Earth Observation?
IEEE Transactions on Geoscience and Remote Sensing 62. Dec. 2023. DOI GitHub

[710]

F. Xu • Y. Shi • P. Ebel • W. Yang • X. Zhu
Multimodal and Multiresolution Data Fusion for High-Resolution Cloud Removal: A Novel Baseline and Benchmark.
IEEE Transactions on Geoscience and Remote Sensing 62. Dec. 2023. DOI GitHub

[709]

H. Boche • A. Fono • G. Kutyniok
Limitations of Deep Learning for Inverse Problems on Digital Hardware.
IEEE Transactions on Information Theory 69.12. Dec. 2023. DOI

[708]

F. Fan • Y. Shi • T. Guggemos • X. Zhu
Hybrid Quantum-Classical Convolutional Neural Network Model for Image Classification.
IEEE Transactions on Neural Networks and Learning Systems 35.12. Dec. 2023. DOI URL

[707]

Ç. Yapar • R. Levie • G. Kutyniok • G. Caire
Real-Time Outdoor Localization Using Radio Maps: A Deep Learning Approach.
IEEE Transactions on Wireless Communications 22.12. Dec. 2023. DOI

[706]

A. T. Stüber • S. Coors • B. Schachtner • T. Weber • D. Rügamer • A. Bender • A. Mittermeier • O. Öcal • M. Seidensticker • J. Ricke • B. Bischl • M. Ingrisch
A comprehensive machine learning benchmark study for radiomics-based survival analysis of CT imaging data in patients with hepatic metastases of CRC.
Investigative Radiology 58.12. Dec. 2023. DOI

[705]

D. Strieder • M. Drton
Confidence in causal inference under structure uncertainty in linear causal models with equal variances.
Journal of Causal Inference 11.1. Dec. 2023. DOI

[704]

F. Brechtmann • T. Bechtler • S. Londhe • C. Mertes • J. Gagneur
Evaluation of input data modality choices on functional gene embeddings.
NAR Genomics and Bioinformatics 5.4. Dec. 2023. DOI

[703]

C. Leiber • L. Miklautz • C. Plant • C. Böhm
Benchmarking Deep Clustering Algorithms With ClustPy.
Workshop @ICDM 2023 - Workshop at the 23rd IEEE International Conference on Data Mining. Shanghai, China, Dec 01-04, 2023. DOI GitHub

[702]

Y. Sale • P. Hofman • L. Wimmer • E. Hüllermeier • T. Nagler
Second-Order Uncertainty Quantification: Variance-Based Measures.
Preprint (Dec. 2023). arXiv

[701]

C. A. Scholbeck • J. Moosbauer • G. Casalicchio • H. Gupta • B. Bischl • C. Heumann
Position Paper: Bridging the Gap Between Machine Learning and Sensitivity Analysis.
Preprint (Dec. 2023). arXiv

[700]

E. Thelisson • G. Mika • Q. Schneiter • K. Padh • H. Verma
Toward Responsible AI Use: Considerations for Sustainability Impact Assessment.
Preprint (Dec. 2023). arXiv

[699]

G. Zhang • J. Bi • J. Gu • Y. Chen • V. Tresp
SPOT! Revisiting Video-Language Models for Event Understanding.
Preprint (Dec. 2023). arXiv

[698]

Z. Ding • Z. Li • R. Qi • J. Wu • B. He • Y. Ma • Z. Meng • S. Chen • R. Liao • Z. Han • V. Tresp
FORECASTTKGQUESTIONS: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs.
ISWC 2023 - 22nd International Semantic Web Conference. Athens, Greeke, Nov 06-11, 2023. DOI

[697]

D. Rügamer • F. Pfisterer • B. Bischl • B. Grün
Mixture of Experts Distributional Regression: Implementation Using Robust Estimation with Adaptive First-order Methods.
Advances in Statistical Analysis. Nov. 2023. DOI

[696]

J. Maly
Robust sensing of low-rank matrices with non-orthogonal sparse decomposition.
Applied and Computational Harmonic Analysis 67. Nov. 2023. 2024 ACHA Charles Chui Young Researcher Best Paper Award. DOI

[695]

A. Beyerlein • M. Weigert • K. Katz • H. Küchenhoff • W. Hartl
Langzeitveränderungen des Impfschutzes vor schweren COVID-19-Verläufen.
Deutsches Ärzteblatt 120.51-52. Nov. 2023. DOI

[694]

A. Beyerlein • M. Weigert • K. Katz • H. Küchenhoff • W. Hartl
Long-Term Trends in the Protection Against Severe Courses of COVID-19 by Vaccination.
Deutsches Ärzteblatt 120.51-52. Nov. 2023. DOI

[693]

B. H. Lang • S. Nyholm • J. Blumenthal-Barby
Responsibility Gaps and Black Box Healthcare Ai: Shared Responsibilization as a Solution.
Digital Society 2.52. Nov. 2023. DOI

[692]

L. Bothmann • L. Wimmer • O. Charrakh • T. Weber • H. Edelhoff • W. Peters • H. Nguyen • C. Benjamin • A. Menzel
Automated wildlife image classification: An active learning tool for ecological applications.
Ecological Informatics 77. Nov. 2023. DOI

[691]

C. Wachinger • T. N. Wolf • S. Pölsterl
Deep learning for the prediction of type 2 diabetes mellitus from neck-to-knee Dixon MRI in the UK biobank.
Heliyon 9.11. Nov. 2023. DOI

[690]

S. Feuerriegel • R. DiResta • J. A. Goldstein • S. Kumar • P. Lorenz-Spreen • M. Tomz • N. Pröllochs
Research can help to tackle AI-generated disinformation.
Nature Human Behaviour 7. Nov. 2023. DOI

[689]

R. Raab • A. Küderle • A. Zakreuskaya • A. D. Stern • J. Klucken • G. Kaissis • D. Rückert • S. Boll • R. Eils • H. Wagener • B. M. Eskofier
Federated electronic health records for the European Health Data Space.
The Lancet Digital Health 5.11. Nov. 2023. DOI

[688]

H. Andrade-Loarca • J. Hege • D. Cremers • G. Kutyniok
Neural Poisson Surface Reconstruction: Resolution-Agnostic Shape Reconstruction from Point Clouds.
Preprint (Nov. 2023). arXiv

[687]

F. Filbir • M. Tasche • A. Veselovska
Regularized Shannon sampling formulas related to the special affine Fourier transform.
Preprint (Nov. 2023). arXiv

[686]

A. Köksal • R. Aksitov • C.-C. Chang
Hallucination Augmented Recitations for Language Models.
Preprint (Nov. 2023). arXiv

[685]

W. Lai • V. Hangya • A. Fraser
Extending Multilingual Machine Translation through Imitation Learning.
Preprint (Nov. 2023). arXiv

[684]

T. Weber • M. Ingrisch • B. Bischl • D. Rügamer
Post-hoc Orthogonalization for Mitigation of Protected Feature Bias in CXR Embeddings.
Preprint (Nov. 2023). arXiv

[683]

A. Maldonado • G. M. Tavares • R. Oyamada • P. Ceravolo • T. Seidl
FEEED: Feature Extraction from Event Data.
Doctoral Consortium @ICPM 2023 - Doctoral Consortium at the 5th International Conference on Process Mining. Rome, Italy, Oct 23-27, 2023. PDF

[682]

A. Maldonado • L. Zellner • S. Strickroth • T. Seidl
Process Mining Techniques for Collusion Detection in Online Exams.
EduPM @ICPM 2023 - 2nd International Workshop on Education meets Process Mining at the 5th International Conference on Process Mining. Rome, Italy, Oct 23-27, 2023. DOI

[681]

C. Leiber • L. Miklautz • C. Plant • C. Böhm
Application of Deep Clustering Algorithms.
CIKM 2023 - 32nd ACM International Conference on Information and Knowledge Management. Birmingham, UK, Oct 21-25, 2023. DOI

[680]

G. König
If interpretability is the answer, what is the question?: a causal perspective.
Dissertation LMU München. Oct. 2023. DOI

[679]

Y. Xin • X. Zuo • D. Lu • S. Leutenegger
SimpleMapping: Real-time visual-inertial dense mapping with deep multi-view stereo.
ISMAR 2023 - IEEE/ACM International Symposium on Mixed and Augmented Reality. Sydney, Australia, Oct 16-20, 2023. DOI

[678]

J. Hanselle • J. Fürnkranz • E. Hüllermeier
Probabilistic Scoring Lists for Interpretable Machine Learning.
DS 2023 - 26th International Conference on Discovery Science. Porto, Portugal, Oct 09-11, 2023. DOI

[677]

L. Miklautz • A. Shkabrii • C. Leiber • B. Tobias • B. Seidl • E. Weissensteiner • A. Rausch • C. Böhm • C. Plant
Non-Redundant Image Clustering of Early Medieval Glass Beads.
DSAA 2023 - 10th IEEE International Conference on Data Science and Advanced Analytics. Thessaloniki, Greece, Oct 09-13, 2023. DOI

[676]

J. Brandt • E. Schede • S. Sharma • V. Bengs • E. Hüllermeier • K. Tierney
Contextual Preselection Methods in Pool-based Realtime Algorithm Configuration.
LWDA 2023 - Conference on Lernen. Wissen. Daten. Analysen. Marburg, Germany, Oct 09-11, 2023. PDF

[675]

J. Hanselle • J. Kornowicz • S. Heid • K. Thommes • E. Hüllermeier
Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain.
LWDA 2023 - Conference on Lernen. Wissen. Daten. Analysen. Marburg, Germany, Oct 09-11, 2023. PDF

[674]

D. Scholz • B. Wiestler • D. Rückert • M. J. Menten
Metrics to Quantify Global Consistency in Synthetic Medical Images.
DGM4 @MICCAI 2023 - 3rd International Workshop on Deep Generative Models at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention. Vancouver, Canada, Oct 08-12, 2023. DOI

[673]

V. A. Zimmer • K. Hammernik • V. Sideri-Lampretsa • W. Huang • A. Reithmeir • D. Rückert • J. A. Schnabel
Towards Generalised Neural Implicit Representations for Image Registration.
DGM4 @MICCAI 2023 - 3rd International Workshop on Deep Generative Models at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention. Vancouver, Canada, Oct 08-12, 2023. DOI

[672]

Y. Yeganeh • A. Farshad • G. Guevercin • A. Abu-zer • R. Xiao • Y. Tang • E. Adeli • N. Navab
SCOPE: Structural Continuity Preservation for Medical Image Segmentation.
GRAIL @MICCAI 2023 - 5th Workshop on GRaphs in biomedicAl Image anaLysis at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention. Vancouver, Canada, Oct 08-12, 2023. DOI

[671]

Y. Yeganeh • G. Güvercin • R. Xiao • A. Abuzer • E. Adeli • A. Farshad • N. Navab
SCOPE: Structural Continuity Preservation for Retinal Vessel Segmentation.
GRAIL @MICCAI 2023 - 5th Workshop on GRaphs in biomedicAl Image anaLysis at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention. Vancouver, Canada, Oct 08-12, 2023. DOI

[670]

R. Holland • O. Leingang • C. Holmes • P. Anders • R. Kaye • S. Riedl • J. C. Paetzold • I. Ezhov • H. Bogunović • U. Schmidt-Erfurth • H. P. N. Scholl • S. Sivaprasad • A. J. Lotery • D. Rückert • M. J. Menten
Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration.
MICCAI 2023 - 26th International Conference on Medical Image Computing and Computer Assisted Intervention. Vancouver, Canada, Oct 08-12, 2023. DOI

[669]

N. Stolt-Ansó • J. McGinnis • J. Pan • K. Hammernik • D. Rückert
NISF: Neural implicit segmentation functions.
MICCAI 2023 - 26th International Conference on Medical Image Computing and Computer Assisted Intervention. Vancouver, Canada, Oct 08-12, 2023. DOI

[668]

Y. Yeganeh • A. Farshad • N. Navab
Anatomy-Aware Masking for Inpainting in Medical Imaging.
ShapeMI @MICCAI 2023 - 3rd Workshop on Shape in Medical Imaging at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention. Vancouver, Canada, Oct 08-12, 2023. DOI GitHub

[667]

M. Zaiss • H. N. Dang • V. Golkov • J. R. Rajput • D. Cremers • F. Knoll • A. Maier
GPT4MR: Exploring GPT-4 as an MR Sequence and Reconstruction Programming Assistant.
ESMRMB 2023 - 39th Annual Meeting of the European Society for Magnetic Resonance in Medicine and Biology. Basel, Switzerland, Oct 04-07, 2023. URL

[666]

M. Bernhard • N. Strauß • M. Schubert
MapFormer: Boosting Change Detection by Using Pre-change Information.
ICCV 2023 - IEEE/CVF International Conference on Computer Vision. Paris, France, Oct 02-06, 2023. DOI GitHub

[665]

H. Chen • A. Frikha • D. Krompass • J. Gu • V. Tresp
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation.
ICCV 2023 - IEEE/CVF International Conference on Computer Vision. Paris, France, Oct 02-06, 2023. DOI

[664]

M. B. Colomer • P. L. Dovesi • T. Panagiotakopoulos • J. F. Carvalho • L. Härenstam-Nielsen • H. Azizpour • H. Kjellström • D. Cremers • M. Poggi
To adapt or not to adapt? Real-time adaptation for semantic segmentation.
ICCV 2023 - IEEE/CVF International Conference on Computer Vision. Paris, France, Oct 02-06, 2023. DOI

[663]

M. Gao • P. Roetzer • M. Eisenberger • Z. Lähner • M. Moeller • D. Cremers • F. Bernard
ΣIGMA: Scale-Invariant Global Sparse Shape Matching.
ICCV 2023 - IEEE/CVF International Conference on Computer Vision. Paris, France, Oct 02-06, 2023. DOI

[662]

H. Li • J. Gu • R. Koner • S. Sharifzadeh • V. Tresp
Do DALL-E and Flamingo Understand Each Other?
ICCV 2023 - IEEE/CVF International Conference on Computer Vision. Paris, France, Oct 02-06, 2023. DOI GitHub

[661]

H. Li • J. Dong • B. Wen • M. Gao • T. Huang • Y.-H. Liu • D. Cremers
DDIT: Semantic Scene Completion via Deformable Deep Implicit Templates.
ICCV 2023 - IEEE/CVF International Conference on Computer Vision. Paris, France, Oct 02-06, 2023. DOI

[660]

M. J. Menten • J. C. Paetzold • V. A. Zimmer • S. Shit • I. Ezhov • R. Holland • M. Probst • J. A. Schnabel • D. Rückert
A Skeletonization Algorithm for Gradient-Based Optimization.
ICCV 2023 - IEEE/CVF International Conference on Computer Vision. Paris, France, Oct 02-06, 2023. DOI

[659]

Y. Xia • M. Gladkova • R. Wang • Q. Li • U. Stilla • J. F. Henriques • D. Cremers
CASSPR: Cross Attention Single Scan Place Recognition.
ICCV 2023 - IEEE/CVF International Conference on Computer Vision. Paris, France, Oct 02-06, 2023. DOI

[658]

G. Zhang • J. Ren • J. Gu • V. Tresp
Multi-event Video-Text Retrieval.
ICCV 2023 - IEEE/CVF International Conference on Computer Vision. Paris, France, Oct 02-06, 2023. DOI GitHub

[657]

A. Farshad • Y. Yeganeh • Y. Chi • C. Shen • B. Ommer • N. Navab
Scenegenie: Scene graph guided diffusion models for image synthesis.
Workshop @ICCV 2023 - Workshop at the IEEE/CVF International Conference on Computer Vision. Paris, France, Oct 02-06, 2023. DOI

[656]

Y. Yeganeh • A. Farshad • P. Weinberger • S.-A. Ahmadi • E. Adeli • N. Navab
Transformers pay attention to convolutions leveraging emerging properties of vits by dual attention-image network.
Workshop @ICCV 2023 - Workshop at the IEEE/CVF International Conference on Computer Vision. Paris, France, Oct 02-06, 2023. DOI

[655]

M. Rezaei • F. Soleymani • B. Bischl • S. Azizi
Deep Bregman divergence for self-supervised representations learning.
Computer Vision and Image Understanding 235.103801. Oct. 2023. DOI

[654]

K. Riedl
Leveraging Memory Effects and Gradient Information in Consensus-Based Optimisation: On Global Convergence in Mean-Field Law.
European Journal of Applied Mathematics. Oct. 2023. DOI

[653]

L. Weissweiler • V. Hofmann • A. Köksal • H. Schütze
Explaining pretrained language models' understanding of linguistic structures using construction grammar.
Frontiers in Artificial Intelligence 6. Oct. 2023. DOI

[652]

J. Pan • C. Zhou • M. Gladkova • Q. Khan • D. Cremers
Robust Autonomous Vehicle Pursuit without Expert Steering Labels.
IEEE Robotics and Automation Letters 8.10. Oct. 2023. DOI

[651]

T. Beker • H. Ansari • S. Montazeri • Q. Song • X. Zhu
Deep Learning for Subtle Volcanic Deformation Detection With InSAR Data in Central Volcanic Zone.
IEEE Transactions on Geoscience and Remote Sensing 61. Oct. 2023. DOI

[650]

S. Chen • Y. Shi • Z. Xiong • X. Zhu
HTC-DC Net: Monocular Height Estimation From Single Remote Sensing Images.
IEEE Transactions on Geoscience and Remote Sensing 61. Oct. 2023. DOI GitHub

[649]

F. Zhou • X. Sun • C. Sun • J. Dong • X. Zhu
Adaptive Morphology Filter: A Lightweight Module for Deep Hyperspectral Image Classification.
IEEE Transactions on Geoscience and Remote Sensing 61. Oct. 2023. DOI GitHub

[648]

J. Külz • M. Mayer • M. Althoff
Timor Python: A Toolbox for Industrial Modular Robotics.
IROS 2023 - IEEE/RSJ International Conference on Intelligent Robots and Systems. Detroit, MI, USA, Oct 01-05, 2023. DOI

[647]

Y. R. Shrestha • G. von Krogh • S. Feuerriegel
Building open-source AI.
Nature Computational Science 3.11. Oct. 2023. DOI

[646]

F. Bongratz • A.-M. Rickmann • C. Wachinger
Abdominal organ segmentation via deep diffeomorphic mesh deformations.
Scientific Reports 13.1. Oct. 2023. DOI

[645]

J. Smids • H. Berkers • P. Le Blanc • S. Rispens • S. Nyholm
Employers Have a Duty of Beneficence to Design for Meaningful Work: A General Argument and Logistics Warehouses as a Case Study.
The Journal of Ethics. Oct. 2023. DOI

[644]

J. Gauss • F. Scheipl • M. Herrmann
DCSI–An improved measure of cluster separability based on separation and connectedness.
Preprint (Oct. 2023). arXiv

[643]

Y. Ma • D. Frauen • V. Melnychuk • S. Feuerriegel
Counterfactual Fairness for Predictions using Generative Adversarial Networks.
Preprint (Oct. 2023). arXiv

[642]

Y. Shen • R. Liao • Z. Han • Y. Ma • V. Tresp
GraphextQA: A Benchmark for Evaluating Graph-Enhanced Large Language Models.
Preprint (Oct. 2023). arXiv

[641]

Q. Xu • Y. Shi • J. Bamber • Y. Tuo • R. Ludwig • X. Zhu
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology.
Preprint (Oct. 2023). arXiv GitHub

[640]

I. Ziegler • B. Ma • B. Bischl • E. Dorigatti • B. Schubert
Proteasomal cleavage prediction: state-of-the-art and future directions.
Preprint (Oct. 2023). DOI GitHub

[639]

L. Bothmann • S. Dandl • M. Schomaker
Causal Fair Machine Learning via Rank-Preserving Interventional Distributions.
ECAI 2023 - 1st Workshop on Fairness and Bias in AI co-located with the 26th European Conference on Artificial Intelligence. Kraków, Poland, Sep 30-Oct 04, 2023. PDF

[638]

D. Winkel • N. Strauß • M. Schubert • T. Seidl
Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning.
ECAI 2023 - 26th European Conference on Artificial Intelligence. Kraków, Poland, Sep 30-Oct 04, 2023. DOI

[637]

J. Herbinger • S. Dandl • F. K. Ewald • S. Loibl • G. Casalicchio
Leveraging Model-based Trees as Interpretable Surrogate Models for Model Distillation.
ECAI 2023 - 3rd International Workshop on Explainable and Interpretable Machine Learning co-located with the 26th European Conference on Artificial Intelligence. Kraków, Poland, Sep 30-Oct 04, 2023. DOI

[636]

L. Haliburton • B. Pirker • P. Holinski • A. Schmidt • P. W. Wozniak • M. Hoppe
VR-Hiking: Physical Exertion Benefits Mindfulness and Positive Emotions in Virtual Reality.
MobileHCI 2023 - ACM International Conference on Mobile Human-Computer Interaction. Athens, Greece, Sep 26-29, 2023. DOI

[635]

Y. Ma • Q. Khan • D. Cremers
Multi Agent Navigation in Unconstrained Environments Using a Centralized Attention Based Graphical Neural Network Controller.
ITSC 2023 - 26th IEEE International Conference on Intelligent Transportation. Bilbao, Spain, Sep 24-28, 2023. DOI GitHub

[634]

J. Schmidt • Q. Khan • D. Cremers
LiDAR View Synthesis for Robust Vehicle Navigation Without Expert Labels.
ITSC 2023 - 26th IEEE International Conference on Intelligent Transportation. Bilbao, Spain, Sep 24-28, 2023. DOI GitHub

[633]

S. Urchs • V. Thurner • M. Aßenmacher • C. Heumann • S. Thiemichen
How Prevalent is Gender Bias in ChatGPT? - Exploring German and English ChatGPT Responses.
BDCA @ECML-PKDD 2023 - 1st Workshop on Biased Data in Conversational Agents at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Turin, Italy, Sep 18-22, 2023. DOI

[632]

I. T. Öztürk • R. Nedelchev • C. Heumann • E. Garces Arias • M. Roger • B. Bischl • M. Aßenmacher
How Different Is Stereotypical Bias Across Languages?
BIAS @ECML-PKDD 2023 - 3rd Workshop on Bias and Fairness in AI at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Turin, Italy, Sep 18-22, 2023. DOI

[631]

P. Becker • V. Bengs
Shapley-Based Feature Selection for Online Algorithm Selection.
DynXAI @ECML-PKDD 2023 - Workshop on Explainable Artificial Intelligence: From Static to Dynamic at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Turin, Italy, Sep 18-22, 2023. DOI

[630]

S. Dandl • G. Casalicchio • B. Bischl • L. Bothmann
Interpretable Regional Descriptors: Hyperbox-Based Local Explanations.
ECML-PKDD 2023 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Turin, Italy, Sep 18-22, 2023. DOI

[629]

Z. Ding • J. Wu • Z. Li • Y. Ma • V. Tresp
Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs Using Confidence-Augmented Reinforcement Learning.
ECML-PKDD 2023 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Turin, Italy, Sep 18-22, 2023. DOI GitHub

[628]

S. Gilhuber • J. Busch • D. Rotthues • C. M. M. Frey • T. Seidl
DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification.
ECML-PKDD 2023 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Turin, Italy, Sep 18-22, 2023. DOI

[627]

S. Gilhuber • R. Hvingelby • M. L. A. Fok • T. Seidl
How to Overcome Confirmation Bias in Semi-Supervised Image Classification by Active Learning.
ECML-PKDD 2023 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Turin, Italy, Sep 18-22, 2023. DOI

[626]

S. Haas • E. Hüllermeier
Rectifying Bias in Ordinal Observational Data Using Unimodal Label Smoothing.
ECML-PKDD 2023 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Turin, Italy, Sep 18-22, 2023. DOI

[625]

M. Klein • C. Leiber • C. Böhm
k-SubMix: Common Subspace Clustering on Mixed-Type Data.
ECML-PKDD 2023 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Turin, Italy, Sep 18-22, 2023. DOI

[624]

M. Muschalik • F. Fumagalli • B. Hammer • E. Hüllermeier
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams.
ECML-PKDD 2023 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Turin, Italy, Sep 18-22, 2023. DOI

[623]

L. Rauch • M. Aßenmacher • D. Huseljic • M. Wirth • B. Bischl • B. Sick
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers.
ECML-PKDD 2023 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Turin, Italy, Sep 18-22, 2023. DOI

[622]

J. G. Wiese • L. Wimmer • T. Papamarkou • B. Bischl • S. Günnemann • D. Rügamer
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry.
ECML-PKDD 2023 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Turin, Italy, Sep 18-22, 2023. Best Paper Award. DOI

[621]

T. Kaufmann • S. Ball • J. Beck • E. Hüllermeier • F. Kreuter
On the challenges and practices of reinforcement learning from real human feedback.
HLDM @ECML-PKDD 2023 - 1st Workshop on Hybrid Human-Machine Learning and Decision Making at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Turin, Italy, Sep 18-22, 2023. DOI

[620]

M. Aßenmacher • L. Rauch • J. Goschenhofer • A. Stephan • B. Bischl • B. Roth • B. Sick
Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering.
IAL @ECML-PKDD 2023 - 7th International Workshop on Interactive Adaptive Learning at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Turin, Italy, Sep 18-22, 2023. PDF

[619]

B. Ma • E. Nie • H. Schmid • H. Schütze
Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language Understanding.
KONVENS 2023 - 19th Conference on Natural Language Processing. Ingolstadt, Germany, Sep 18-22, 2023. URL

[618]

E. Terzieva • M. Muschalik • P. Hofman • E. Hüllermeier
Identifying Trends in Feature Attributions During Training of Neural Networks.
Uncertainty meets Explainability @ECML-PKDD 2023 - Workshop Uncertainty meets Explainability in Machine Learning at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Turin, Italy, Sep 18-22, 2023. DOI

[617]

F. Hoppe • C. M. Verdun • H. Laus • F. Krahmer • H. Rauhut
Uncertainty Quantification For Learned ISTA.
MLSP 2023 - IEEE Workshop on Machine Learning for Signal Processing. Rome, Italy, Sep 17-20, 2023. DOI

[616]

Ç. Yapar • F. Jaensch • R. Ron • G. Kutyniok • G. Caire
Overview of the Urban Wireless Localization Competition.
MLSP 2023 - IEEE Workshop on Machine Learning for Signal Processing. Rome, Italy, Sep 17-20, 2023. DOI

[615]

A. Javanmardi • Y. Sale • P. Hofman • E. Hüllermeier
Conformal Prediction with Partially Labeled Data.
COPA 2023 - 12th Symposium on Conformal and Probabilistic Prediction with Applications. Limassol, Cyprus, Sep 13-15, 2023. URL

[614]

S. F. Fischer • L. Harutyunyan • M. Feurer • B. Bischl
OpenML-CTR23 - A curated tabular regression benchmarking suite.
AutoML 2023 - Workshop Track - International Conference on Automated Machine Learning - Workshop Track. Berlin, Germany, Sep 12-15, 2023. URL

[613]

L. O. Purucker • L. Schneider • M. Anastacio • J. Beel • B. Bischl • H. Hoos
Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML.
AutoML 2023 - International Conference on Automated Machine Learning. Berlin, Germany, Sep 12-15, 2023. URL

[612]

S. Segel • H. Graf • A. Tornede • B. Bischl • M. Lindauer
Symbolic Explanations for Hyperparameter Optimization.
AutoML 2023 - International Conference on Automated Machine Learning. Berlin, Germany, Sep 12-15, 2023. URL

[611]

A. Maronikolakis • P. O’Grady • H. Schütze • M. Lyra
Improving Few-Shot Learning with Multilingual Transfer and Monte Carlo Training Set Selection.
LSD 2023 - CLASP Conference on Learning with Small Data. Gothenburg, Sweden, Sep 11-12, 2023. URL

[610]

P. Koch • G. V. Nuñez • E. Garces Arias • C. Heumann • M. Schöffel • A. Häberlin • M. Aßenmacher
A tailored Handwritten-Text-Recognition System for Medieval Latin.
ALP @RANLP 2023 - 1st Workshop on Ancient Language Processing at the Conference on Recent Advances in Natural Language Processing. Varna, Bulgaria, Sep 08, 2023. URL

[609]

E. Nie • H. Schmid • H. Schütze
Cross-Lingual Constituency Parsing for Middle High German: A Delexicalized Approach.
ALP @RANLP 2023 - 1st Workshop on Ancient Language Processing at the Conference on Recent Advances in Natural Language Processing. Varna, Bulgaria, Sep 08, 2023. URL

[608]

V. Hangya • A. Fraser
LMU at HaSpeeDe3: Multi-Dataset Training for Cross-Domain Hate Speech Detection.
EVALITA 2023 - Final Workshop of the 8th evaluation campaign. Parma, Italy, Sep 07-08, 2023. PDF

[607]

S. Nyholm
Is Academic Enhancement Possible by Means of Generative Ai-Based Digital Twins?
American Journal of Bioethics 23.10. Sep. 2023. DOI

[606]

H. A. Gündüz • M. Binder • X.-Y. To • R. Mreches • B. Bischl • A. C. McHardy • P. C. Münch • M. Rezaei
A self-supervised deep learning method for data-efficient training in genomics.
Communications Biology 6.928. Sep. 2023. DOI

[605]

D. Bär • N. Pröllochs • S. Feuerriegel
New Threats to Society from Free-Speech Social Media Platforms.
Communications of the ACM 66.10. Sep. 2023. DOI

[604]

M. Toetzke • B. Probst • S. Feuerriegel
Leveraging large language models to monitor climate technology innovation.
Environmental Research Letters 18.9. Sep. 2023. DOI

[603]

B. X. W. Liew • F. M. Kovacs • D. Rügamer • A. Royuela
Automatic variable selection algorithms in prognostic factor research in neck pain.
Journal of Clinical Medicine. Sep. 2023. DOI

[602]

S. Hoffmann • F. Scheipl • A.-L. Boulesteix
Reproduzierbare und replizierbare Forschung.
Moderne Verfahren der Angewandten Statistik. Sep. 2023. DOI

[601]

A. Bacho • H. Boche • G. Kutyniok
Complexity Blowup for Solutions of the Laplace and the Diffusion Equation.
Preprint (Sep. 2023). arXiv

[600]

F. Hoppe • F. Krahmer • C. M. Verdun • M. I. Menzel • H. Rauhut
Uncertainty quantification for sparse Fourier recovery.
Preprint (Sep. 2023). arXiv

[599]

Y. Shan • Y. Xia • Y. Chen • D. Cremers
SCP: Scene Completion Pre-training for 3D Object Detection.
Preprint (Sep. 2023). arXiv

[598]

R. P. Prager • K. Dietrich • L. Schneider • L. Schäpermeier • B. Bischl • P. Kerschke • H. Trautmann • O. Mersmann
Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features.
FOGA 2023 - 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. Potsdam, Germany, Aug 30-Sep 01, 2023. DOI

[597]

A. Scheppach • H. A. Gündüz • E. Dorigatti • P. C. Münch • A. C. McHardy • B. Bischl • M. Rezaei • M. Binder
Neural Architecture Search for Genomic Sequence Data.
CIBCB 2023 - 20th IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology. Eindhoven, The Netherlands, Aug 29-31, 2023. DOI

[596]

L. Rottkamp • N. Strauß • M. Schubert
DEAR: Dynamic Electric Ambulance Redeployment.
SSTD 2023 - 18th International Symposium on Spatial and Temporal Databases. Calgary, Canada, Aug 23-25, 2023. DOI

[595]

Z. Liu • Y. Ma • H. Li • M. Hildebrandt • Y. Ouyang • Z. Xiong
Debiased Contrastive Loss for Collaborative Filtering.
KSEM 2024 - 16th International Conference Knowledge Science, Engineering and Management. Guangzhou, China, Aug 16-18, 2023. DOI

[594]

A. Khakzar
Rethinking Feature Attribution for Neural Network Explanation.
Dissertation TU München. Aug. 2023. URL

[593]

A. Beer • A. Draganov • E. Hohma • P. Jahn • C. M. M. Frey • I. Assent
Connecting the Dots — Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering.
KDD 2023 - 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Long Beach, CA, USA, Aug 06-10, 2023. DOI GitHub

[592]

M. Windl • A. Scheidle • C. George • S. Mayer
Investigating Security Indicators for Hyperlinking Within the Metaverse.
SOUPS 2023 - 19th Symposium on Usable Privacy and Security. Anaheim, CA, USA, Aug 06-08, 2023. URL

[591]

M. Caprio • Y. Sale • E. Hüllermeier • I. Lee
A Novel Bayes' Theorem for Upper Probabilities.
Epi UAI 2023 - International Workshop on Epistemic Uncertainty in Artificial Intelligence. Pittsburgh, PA, USA, Aug 04, 2023. DOI

[590]

S. Endt • M. Engel • E. Naldi • R. Assereto • M. Molendowska • L. Mueller • C. M. Verdun • C. M. Pirkl • M. Palombo • D. K. Jones • M. I. Menzel
In vivo myelin water quantification using diffusion--relaxation correlation MRI: A comparison of 1D and 2D methods.
Applied Magnetic Resonance 54. Aug. 2023. DOI

[589]

F. Ott • D. Rügamer • L. Heublein • B. Bischl • C. Mutschler
Auxiliary Cross-Modal Representation Learning With Triplet Loss Functions for Online Handwriting Recognition.
IEEE Access 11. Aug. 2023. DOI

[588]

D. Wolffram • S. Abbott • M. an der Heiden • S. Funk • F. Günther • D. Hailer • S. Heyder • T. Hotz • J. van de Kassteele • H. Küchenhoff • S. Müller-Hansen • D. Syliqi • A. Ullrich • M. Weigert • M. Schienle • J. Bracher
Collaborative nowcasting of COVID-19 hospitalization incidences in Germany.
PLOS Computational Biology 19.8. Aug. 2023. DOI

[587]

P. Heid
A damped Kačanov scheme for the numerical solution of a relaxed p(x)-Poisson equation.
Partial Differential Equations and Applications 4.40. Aug. 2023. DOI

[586]

A. Volkmann • A. Stöcker • F. Scheipl • S. Greven
Multivariate Functional Additive Mixed Models.
Statistical Modelling 23.4. Aug. 2023. DOI

[585]

L. Fahrmeir • G. Kauermann • G. Tutz • M. Windmann
Spatial smoothing revisited: An application to rental data in Munich.
Statistical Modelling 23.5-6. Aug. 2023. DOI

[584]

F. Pfisterer • S. Wei • S. Vollmer • M. Lang • B. Bischl
Fairness Audits and Debiasing Using mlr3fairness.
The R Journal 15.1. Aug. 2023. DOI

[583]

H.-H. Chou • J. Maly • D. Stöger
How to induce regularization in linear models: A guide to reparametrizing gradient flow.
Preprint (Aug. 2023). arXiv

[582]

S. Henzgen • E. Hüllermeier
Weighting by Tying: A New Approach to Weighted Rank Correlation.
Preprint (Aug. 2023). arXiv

[581]

J. Rodemann • J. Goschenhofer • E. Dorigatti • T. Nagler • T. Augustin
Approximately Bayes-optimal pseudo-label selection.
UAI 2023 - 39th Conference on Uncertainty in Artificial Intelligence. Pittsburgh, PA, USA, Jul 31-Aug 03, 2023. URL

[580]

Y. Sale • M. Caprio • E. Hüllermeier
Is the Volume of a Credal Set a Good Measure for Epistemic Uncertainty?
UAI 2023 - 39th Conference on Uncertainty in Artificial Intelligence. Pittsburgh, PA, USA, Jul 31-Aug 03, 2023. URL

[579]

L. Wimmer • Y. Sale • P. Hofman • B. Bischl • E. Hüllermeier
Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures?
UAI 2023 - 39th Conference on Uncertainty in Artificial Intelligence. Pittsburgh, PA, USA, Jul 31-Aug 03, 2023. URL

[578]

A. T. Stüber • S. Coors • M. Ingrisch
Revitalize the Potential of Radiomics: Interpretation and Feature Stability in Medical Imaging Analyses through Groupwise Feature Importance.
LB-D-DC 2023 @xAI 2023 - Late-breaking Work, Demos and Doctoral Consortium at the 1st World Conference on eXplainable Artificial Intelligence. Lisbon, Portugal, Jul 26-28, 2023. PDF

[577]

M. K. Belaid • R. Bornemann • M. Rabus • R. Krestel • E. Hüllermeier
Compare-xAI: Toward Unifying Functional Testing Methods for Post-hoc XAI Algorithms into a Multi-dimensional Benchmark.
xAI 2023 - 1st World Conference on eXplainable Artificial Intelligence. Lisbon, Portugal, Jul 26-28, 2023. DOI GitHub

[576]

C. Molnar • T. Freiesleben • G. König • J. Herbinger • T. Reisinger • G. Casalicchio • M. N. Wright • B. Bischl
Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process.
xAI 2023 - 1st World Conference on eXplainable Artificial Intelligence. Lisbon, Portugal, Jul 26-28, 2023. DOI

[575]

M. Muschalik • F. Fumagalli • R. Jagtani • B. Hammer • E. Hüllermeier
iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios.
xAI 2023 - 1st World Conference on eXplainable Artificial Intelligence. Lisbon, Portugal, Jul 26-28, 2023. Best Paper Award. DOI

[574]

S. Alberti • N. Dern • L. Thesing • G. Kutyniok
Sumformer: Universal Approximation for Efficient Transformers.
ICML 2023 - 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning at the 40th International Conference on Machine Learning. Honolulu, Hawaii, Jul 23-29, 2023. URL

[573]

V. Bengs • E. Hüllermeier • W. Waegeman
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification.
ICML 2023 - 40th International Conference on Machine Learning. Honolulu, Hawaii, Jul 23-29, 2023. URL

[572]

M. Biloš • K. Rasul • A. Schneider • Y. Nevmyvaka • S. Günnemann
Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion.
ICML 2023 - 40th International Conference on Machine Learning. Honolulu, Hawaii, Jul 23-29, 2023. URL

[571]

V. Melnychuk • D. Frauen • S. Feuerriegel
Normalizing Flows for Interventional Density Estimation.
ICML 2023 - 40th International Conference on Machine Learning. Honolulu, Hawaii, Jul 23-29, 2023. URL

[570]

T. Nagler
Statistical Foundations of Prior-Data Fitted Networks.
ICML 2023 - 40th International Conference on Machine Learning. Honolulu, Hawaii, Jul 23-29, 2023. URL

[569]

D. Rügamer
A New PHO-rmula for Improved Performance of Semi-Structured Networks.
ICML 2023 - 40th International Conference on Machine Learning. Honolulu, Hawaii, Jul 23-29, 2023. URL

[568]

N. Stucki • J. C. Paetzold • S. Shit • B. Menze • U. Bauer
Topologically faithful image segmentation via induced matching of persistence barcodes.
ICML 2023 - 40th International Conference on Machine Learning. Honolulu, Hawaii, Jul 23-29, 2023. URL GitHub

[567]

C. Tomani • F. K. Waseda • Y. Shen • D. Cremers
Beyond In-Domain Scenarios: Robust Density-Aware Calibration.
ICML 2023 - 40th International Conference on Machine Learning. Honolulu, Hawaii, Jul 23-29, 2023. URL

[566]

T. Wollschläger • N. Gao • B. Charpentier • M. A. Ketata • S. Günnemann
Uncertainty Estimation for Molecules: Desiderata and Methods.
ICML 2023 - 40th International Conference on Machine Learning. Honolulu, Hawaii, Jul 23-29, 2023. URL

[565]

F. Ott
Representation learning for domain adaptation and cross-modal retrieval: in the context of online handwriting recognition and visual self-localization.
Dissertation LMU München. Jul. 2023. DOI

[564]

J. Goschenhofer • B. Bischl • Z. Kira
ConstraintMatch for Semi-constrained Clustering.
IJCNN 2023 - International Joint Conference on Neural Networks. Gold Coast Convention and Exhibition Centre, Queensland, Australia, Jul 18-23, 2023. DOI

[563]

C. Kolb • B. Bischl • C. L. Müller • D. Rügamer
Sparse Modality Regression.
IWSM 2023 - 37th International Workshop on Statistical Modelling. Dortmund, Germany, Jul 17-21, 2023. Best Paper Award. PDF

[562]

A. Giovagnoli • Y. Ma • M. Schubert • V. Tresp
QNEAT: Natural Evolution of Variational Quantum Circuit Architecture.
GECCO 2023 - Genetic and Evolutionary Computation Conference. Lisbon, Portugal, Jul 15-19, 2023. DOI

[561]

L. Schneider • B. Bischl • J. Thomas
Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models.
GECCO 2023 - Genetic and Evolutionary Computation Conference. Lisbon, Portugal, Jul 15-19, 2023. DOI

[560]

M. Wever • M. Özdogan • E. Hüllermeier
Cooperative Co-Evolution for Ensembles of Nested Dichotomies for Multi-Class Classification.
GECCO 2023 - Genetic and Evolutionary Computation Conference. Lisbon, Portugal, Jul 15-19, 2023. DOI

[559]

F. Draxler • A. Schmidt • L. L. Chuang
Relevance, Effort, and Perceived Quality: Language Learners’ Experiences with AI-Generated Contextually Personalized Learning Material.
DIS 2023 - ACM Conference on Designing Interactive Systems. Pittsburgh, PA, USA, Jul 10-14, 2023. DOI

[558]

T. Fuchs • F. Krahmer • R. Kueng
Greedy-type sparse recovery from heavy-tailed measurements.
SampTA 2023 - 14th International Conference on Sampling Theory and Applications. Yale, CT, USA, Jul 10-14, 2023. DOI

[557]

F. Hoppe • F. Krahmer • C. M. Verdun • M. I. Menzel • H. Rauhut
Sampling Strategies for Compressive Imaging Under Statistical Noise.
SampTA 2023 - 14th International Conference on Sampling Theory and Applications. Yale, CT, USA, Jul 10-14, 2023. DOI

[556]

R. Joy • F. Krahmer • A. Lupoli • R. Ramakrishan
Quantization of Bandlimited Functions Using Random Samples.
SampTA 2023 - 14th International Conference on Sampling Theory and Applications. Yale, CT, USA, Jul 10-14, 2023. DOI

[555]

F. Krahmer • H. Lyu • R. Saab • A. Veselovska • R. Wang
Quantization of Bandlimited Graph Signals.
SampTA 2023 - 14th International Conference on Sampling Theory and Applications. Yale, CT, USA, Jul 10-14, 2023. DOI

[554]

F. Krahmer • A. Veselovska
Digital Halftoning via Mixed-Order Weighted Σ∆ Modulation.
SampTA 2023 - 14th International Conference on Sampling Theory and Applications. Yale, CT, USA, Jul 10-14, 2023. DOI

[553]

A. Imani • P. Lin • A. H. Kargaran • S. Severini • M. J. Sabet • N. Kassner • C. Ma • H. Schmid • A. Martins • F. Yvon • H. Schütze
Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages.
ACL 2023 - 61th Annual Meeting of the Association for Computational Linguistics. Toronto, Canada, Jul 09-14, 2023. DOI GitHub

[552]

Y. Liu • H. Ye • L. Weissweiler • P. Wicke • R. Pei • R. Zangenfeind • H. Schütze
A Crosslingual Investigation of Conceptualization in 1335 Languages.
ACL 2023 - 61th Annual Meeting of the Association for Computational Linguistics. Toronto, Canada, Jul 09-14, 2023. DOI

[551]

Y. Liu • S. Feng • D. Wang • Y. Zhang • H. Schütze
PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism.
ACL 2023 - 61th Annual Meeting of the Association for Computational Linguistics. Toronto, Canada, Jul 09-14, 2023. DOI

[550]

A. Modarressi • M. Fayyaz • E. Aghazadeh • Y. Yaghoobzadeh • M. T. Pilehvar
DecompX: Explaining Transformers Decisions by Propagating Token Decomposition.
ACL 2023 - 61th Annual Meeting of the Association for Computational Linguistics. Toronto, Canada, Jul 09-14, 2023. DOI GitHub

[549]

M. Fromm • M. Berrendorf • E. Faerman • T. Seidl
Cross-Domain Argument Quality Estimation.
Findings @ACL 2023 - Findings of the 61th Annual Meeting of the Association for Computational Linguistics. Toronto, Canada, Jul 09-14, 2023. DOI GitHub

[548]

K. Hämmerl • B. Deiseroth • P. Schramowski • J. Libovický • C. Rothkopf • A. Fraser • K. Kersting
Speaking Multiple Languages Affects the Moral Bias of Language Models.
Findings @ACL 2023 - Findings of the 61th Annual Meeting of the Association for Computational Linguistics. Toronto, Canada, Jul 09-14, 2023. DOI

[547]

K. Hämmerl • A. Fastowski • J. Libovický • A. Fraser
Exploring Anisotropy and Outliers in Multilingual Language Models for Cross-Lingual Semantic Sentence Similarity.
Findings @ACL 2023 - Findings of the 61th Annual Meeting of the Association for Computational Linguistics. Toronto, Canada, Jul 09-14, 2023. DOI

[546]

Z. Han • R. Liao • J. Gu • Y. Zhang • Z. Ding • Y. Gu • H. Köppl • H. Schütze • V. Tresp
ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations.
Findings @ACL 2023 - Findings of the 61th Annual Meeting of the Association for Computational Linguistics. Toronto, Canada, Jul 09-14, 2023. DOI

[545]

E. Nie • S. Liang • H. Schmid • H. Schütze
Cross-Lingual Retrieval Augmented Prompt for Low-Resource Languages.
Findings @ACL 2023 - Findings of the 61th Annual Meeting of the Association for Computational Linguistics. Toronto, Canada, Jul 09-14, 2023. DOI

[544]

D. Saggau • M. Rezaei • B. Bischl • I. Chalkidis
Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning.
Findings @ACL 2023 - Findings of the 61th Annual Meeting of the Association for Computational Linguistics. Toronto, Canada, Jul 09-14, 2023. DOI

[543]

L. Weber • B. Plank
ActiveAED: A Human in the Loop Improves Annotation Error Detection.
Findings @ACL 2023 - Findings of the 61th Annual Meeting of the Association for Computational Linguistics. Toronto, Canada, Jul 09-14, 2023. DOI

[542]

P. Wicke
LMs stand their Ground: Investigating the Effect of Embodiment in Figurative Language Interpretation by Language Models.
Findings @ACL 2023 - Findings of the 61th Annual Meeting of the Association for Computational Linguistics. Toronto, Canada, Jul 09-14, 2023. DOI

[541]

Y. Liu • A. Chronopoulou • H. Schütze • A. Fraser
On the Copying Problem of Unsupervised NMT: A Training Schedule with a Language Discriminator Loss.
IWSLT 2023 - 20th International Conference on Spoken Language Translation. Toronto, Canada, Jul 09-14, 2023. DOI

[540]

P. Wicke • L. K. Senel • S. Zhang • L. Figueredo • A. Naceri • S. Haddadin • H. Schütze
Towards Language-Based Modulation of Assistive Robots through Multimodal Models.
Geriatronics Summit 2023 - 2nd Geriatronics Summit. Garmisch-Partenkirchen, Germany, Jul 02-03, 2023. arXiv

[539]

G. Kutyniok
An introduction to the mathematics of deep learning.
European Congress of Mathematics. Jul. 2023. DOI

[538]

B. X. W. Liew • D. Rügamer • Q. Mei • Z. Altai • X. Zhu • X. Zhai • N. Cortes
Smooth and accurate predictions of joint contact force timeseries in gait using overparameterised deep neural networks.
Frontiers in Bioengineering and Biotechnology 11. Jul. 2023. DOI

[537]

C. Fritz • G. De Nicola • S. Kevork • D. Harhoff • G. Kauermann
Modelling the large and dynamically growing bipartite network of German patents and inventors.
Journal of the Royal Statistical Society. Series A (Statistics in Society) 186.3. Jul. 2023. DOI

[536]

F. Krahmer • A. Veselovska
Enhanced Digital Halftoning via Weighted Sigma-Delta Modulation.
SIAM Journal on Imaging Sciences 16.3. Jul. 2023. DOI

[535]

C. Reinkemeyer • Y. Khazaei • M. Weigert • M. Hannes • R. Le Gleut • M. Plank • S. Winter • I. Norena • T. Meier • L. Xu • R. Rubio-Acero • S. Wiegrebe • T. G. Le Thi • C. Fuchs • K. Radon • I. Paunovic • C. Janke • A. Wieser • H. Küchenhoff • M. Hoelscher • N. Castelletti • KoCo Impf ORCHESTRA Working Grp
The Prospective COVID-19 Post-Immunization Serological Cohort in Munich (KoCo-Impf): Risk Factors and Determinants of Immune Response in Healthcare Workers.
Viruses 15.7. Jul. 2023. DOI

[534]

I. van Mechelen • A.-L. Boulesteix • R. Dangl • N. Dean • C. Hennig • F. Leisch • D. Steinley • M. J. Warrens
A white paper on good research practices in benchmarking: The case of cluster analysis.
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13.6. Jul. 2023. DOI

[533]

M. Aßenmacher • N. Sauter • C. Heumann
Classifying multilingual party manifestos: Domain transfer across country, time, and genre.
Preprint (Jul. 2023). arXiv

[532]

J. Baan • N. Daheim • E. Ilia • D. Ulmer • H.-S. Li • R. Fernández • B. Plank • R. Sennrich • C. Zerva • W. Aziz
Uncertainty in Natural Language Generation: From Theory to Applications.
Preprint (Jul. 2023). arXiv

[531]

A. Bacho • H. Boche • G. Kutyniok
Reliable AI: Does the Next Generation Require Quantum Computing?
Preprint (Jul. 2023). arXiv

[530]

J. Gu • Z. Han • S. Chen • A. Beirami • B. He • G. Zhang • R. Liao • Y. Qin • V. Tresp • P. Torr
A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.
Preprint (Jul. 2023). arXiv

[529]

C. Kolb • C. L. Müller • B. Bischl • D. Rügamer
Smoothing the Edges: Smooth Optimization for Sparse Regularization using Hadamard Overparametrization.
Preprint (Jul. 2023). arXiv

[528]

A. Farshad
Representation learning for semantic scene understanding.
HHAI 2023 - 2nd International Conference on Hybrid Human-Artificial Intelligence. Munich, Germany, Jun 26-30, 2023. DOI

[527]

C. M. M. Frey
Learning from complex networks.
Dissertation LMU München. Jun. 2023. DOI

[526]

M. Eisenberger • A. Toker • L. Leal-Taixé • D. Cremers
G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors.
CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Vancouver, Canada, Jun 18-23, 2023. DOI GitHub

[525]

L. Härenstam-Nielsen • N. Zeller • D. Cremers
Semidefinite Relaxations for Robust Multiview Triangulation.
CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Vancouver, Canada, Jun 18-23, 2023. DOI

[524]

D. Kotovenko • P. Ma • T. Milbich • B. Ommer
Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning.
CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Vancouver, Canada, Jun 18-23, 2023. DOI

[523]

Y. Mansour • R. Heckel
Zero-Shot Noise2Noise: Efficient Image Denoising without any Data.
CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Vancouver, Canada, Jun 18-23, 2023. DOI

[522]

D. Muhle • L. Koestler • K. M. Jatavallabhula • D. Cremers
Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares.
CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Vancouver, Canada, Jun 18-23, 2023. DOI

[521]

J. Seidenschwarz • G. Braso • V. C. Serrano • I. Elezi • L. Leal-Taixé
Simple Cues Lead to a Strong Multi-Object Tracker.
CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Vancouver, Canada, Jun 18-23, 2023. DOI GitHub

[520]

S. Weber • N. Demmel • T. Chon Chan • D. Cremers
Power Bundle Adjustment for Large-Scale 3D Reconstruction.
CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Vancouver, Canada, Jun 18-23, 2023. DOI

[519]

F. Wimbauer • N. Yang • C. Rupprecht • D. Cremers
Behind the Scenes: Density Fields for Single View Reconstruction.
CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Vancouver, Canada, Jun 18-23, 2023. DOI

[518]

D. Bär • N. Pröllochs • S. Feuerriegel
Finding Qs: Profiling QAnon Supporters on Parler.
ICWSM 2023 - 17th International AAAI Conference on Web and Social Media. Limassol, Cyprus, Jun 05-08, 2023. DOI

[517]

P. Scholl • A. Bacho • H. Boche • G. Kutyniok
The Uniqueness Problem of Physical Law Learning.
ICASSP 2023 - IEEE International Conference on Acoustics, Speech and Signal Processing. Rhode Island, Greece, Jun 04-10, 2023. DOI

[516]

Ç. Yapar • F. Jaensch • R. Levie • G. Kutyniok • G. Caire
The First Pathloss Radio Map Prediction Challenge.
ICASSP 2023 - IEEE International Conference on Acoustics, Speech and Signal Processing. Rhode Island, Greece, Jun 04-10, 2023. DOI

[515]

S. Kaminwar • J. Goschenhofer • J. Thomas • I. Thon • B. Bischl
Structured Verification of Machine Learning Models in Industrial Settings.
Big Data 11.3. Jun. 2023. DOI

[514]

X. Zuo • N. Yang • N. Merrill • B. Xu • S. Leutenegger
Incremental Dense Reconstruction from Monocular Video with Guided Sparse Feature Volume Fusion.
IEEE Robotics and Automation Letters 8.6. Jun. 2023. DOI

[513]

M. Rezaei • A. Vahidi • B. Bischl • T. Elze • M. Eslami
Self-supervised Learning and Self-labeling Framework for Glaucoma Detection.
Investigative Ophthalmology and Visual Science 64.8. Jun. 2023. URL

[512]

T. Tornede • A. Tornede • J. Hanselle • F. Mohr • M. Wever • E. Hüllermeier
Towards Green Automated Machine Learning: Status Quo and Future Directions.
Journal of Artificial Intelligence Research 77. Jun. 2023. DOI

[511]

M. Trappmann • G.-C. Haas • S. Malich • F. Keusch • S. Bähr • F. Kreuter • S. Schwarz
Augmenting survey data with digital trace data: Is there a threat to panel retention?
Journal of Survey Statistics and Methodology 11.3. Jun. 2023. DOI

[510]

M. Lotfollahi • A. K. Susmelj • C. De Donno • L. Hetzel • Y. Ji • I. L. Ibarra • S. R. Srivatsan • M. Naghipourfar • R. M. Daza • B. Martin • J. Shendure • J. L. McFaline‐Figueroa • P. Boyeau • F. A. Wolf • N. Yakubova • S. Günnemann • C. Trapnell • D. Lopez‐Paz • F. J. Theis
Predicting cellular responses to complex perturbations in high‐throughput screens.
Molecular Systems Biology 19.e11517. Jun. 2023. DOI

[509]

L. Haliburton • S. Kheirinejad • A. Schmidt • S. Mayer
Exploring Smart Standing Desks to Foster a Healthier Workplace.
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7.2. Jun. 2023. DOI

[508]

K. Riedl • T. Klock • C. Geldhauser • M. Fornasier
Gradient is All You Need?
Preprint (Jun. 2023). arXiv

[507]

J. Sommer • L. Hetzel • D. Lüdke • F. J. Theis • S. Günnemann
The power of motifs as inductive bias for learning molecular distributions.
Preprint (Jun. 2023). arXiv

[506]

V. Steinborn • A. Maronikolakis • H. Schütze
Politeness Stereotypes and Attack Vectors: Gender Stereotypes in Japanese and Korean Language Models.
Preprint (Jun. 2023). arXiv

[505]

J. W. Grootjen • H. Weingärtner • S. Mayer
Highlighting the Challenges of Blinks in Eye Tracking for Interactive Systems.
PETMEI @ETRA 2023 - 8th International Workshop on Pervasive Eye Tracking and Mobile Eye-Based Interaction at the ACM Symposium on Eye Tracking Research and Applications. Tübingen, Germany, May 30-Jun 02, 2023. DOI

[504]

J. Moosbauer
Towards explainable automated machine learning.
Dissertation LMU München. May. 2023. DOI

[503]

T. Weber • M. Ingrisch • B. Bischl • D. Rügamer
Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis.
PAKDD 2023 - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Osaka, Japan, May 25-28, 2023. DOI

[502]

D. Winkel • N. Strauß • M. Schubert • Y. Ma • T. Seidl
Constrained Portfolio Management using Action Space Decomposition for Reinforcement Learning.
PAKDD 2023 - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Osaka, Japan, May 25-28, 2023. DOI

[501]

V. Blaschke • H. Schütze • B. Plank
A Survey of Corpora for Germanic Low-Resource Languages and Dialects.
NoDaLiDa 2023 - 24th Nordic Conference on Computational Linguistics. Tórshavn, Faroe Islands, May 22-24, 2023. URL

[500]

A.-K. Wickert • C. Damke • L. Baumgärtner • E. Hüllermeier • M. Mezini
UnGoML: Automated Classification of unsafe Usages in Go.
MSR 2023 - IEEE/ACM 20th International Conference on Mining Software Repositories. Melbourne, Australia, May 15-16, 2023. FOSS (Free, Open Source Software) Impact Paper Award. DOI GitHub

[499]

A. Mittermeier
Robust evaluation of contrast-enhanced imaging for perfusion quantification.
Dissertation LMU München. May. 2023. DOI

[498]

T. Ladner • M. Althoff
Automatic Abstraction Refinement in Neural Network Verification Using Sensitivity Analysis.
HSCC 2023 - 26th ACM International Conference on Hybrid Systems: Computation and Control. San Antonio, TX, USA, May 09-12, 2023. DOI

[497]

V. Ehm • D. Cremers • F. Bernard
Non-Separable Multi-Dimensional Network Flows for Visual Computing.
EG 2023 - Poster at the 44th Annual Conference of the European Association for Computer Graphics. Saarbrücken, Germany, May 08-12, 2023. DOI

[496]

X. Wang • L. Weissweiler • H. Schütze • B. Plank
How to Distill your BERT: An Empirical Study on the Impact of Weight Initialisation and Distillation Objectives.
EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics. Dubrovnik, Croatia, May 02-06, 2023. DOI

[495]

A. Chronopoulou • M. Peters • A. Fraser • J. Dodge
AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models.
Findings @EACL 2023 - Findings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. Dubrovnik, Croatia, May 02-06, 2023. DOI

[494]

A. Chronopoulou • D. Stojanovski • A. Fraser
Language-Family Adapters for Low-Resource Multilingual Neural Machine Translation.
LoResMT @EACL 2023 - 6th Workshop on Technologies for Machine Translation of Low-Resource Languages at the 17th Conference of the European Chapter of the Association for Computational Linguistics. Dubrovnik, Croatia, May 02-06, 2023. DOI

[493]

V. Blaschke • H. Schütze • B. Plank
Does Manipulating Tokenization Aid Cross-Lingual Transfer? A Study on POS Tagging for Non-Standardized Languages.
VarDial @EACL 2023 - 10th Workshop on NLP for Similar Languages, Varieties and Dialects at the 17th Conference of the European Chapter of the Association for Computational Linguistics. Dubrovnik, Croatia, May 02-06, 2023. DOI

[492]

H. Huang • J. Qiu • K. Riedl
On the global convergence of particle swarm optimization methods.
Applied Mathematics and Optimization 88.2. May. 2023. DOI

[491]

K. Röck • D. Rügamer • B. Bischl • U. von Toussaint • C. G. Albert
Dependent state space Student-t processes for imputation and data augmentation in plasma diagnostics.
Contributions to Plasma Physics 63.5-6. May. 2023. DOI

[490]

D. Frauen • S. Feuerriegel
Estimating individual treatment effects under unobserved confounding using binary instruments.
ICLR 2023 - 11th International Conference on Learning Representations. Kigali, Rwanda, May 01-05, 2023. URL

[489]

R. Paolino • A. Bojchevski • S. Günnemann • G. Kutyniok • R. Levie
Unveiling the Sampling Density in Non-Uniform Geometric Graphs.
ICLR 2023 - 11th International Conference on Learning Representations. Kigali, Rwanda, May 01-05, 2023. URL

[488]

T. Pielok • B. Bischl • D. Rügamer
Approximate Bayesian Inference with Stein Functional Variational Gradient Descent.
ICLR 2023 - 11th International Conference on Learning Representations. Kigali, Rwanda, May 01-05, 2023. URL

[487]

Z. Liu • Y. Ma • M. Schubert • Y. Ouyang • W. Rong • Z. Xiong
Multimodal Contrastive Transformer for Explainable Recommendation.
IEEE Transactions on Computational Social Systems. May. 2023. DOI

[486]

N. Banholzer • T. Mellan • H. J. T. Unwin • S. Feuerriegel • S. Mishra • S. Bhatt
A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models.
Preprint (May. 2023). arXiv

[485]

H.-H. Chou • H. Rauhut • R. Ward
Robust implicit regularization via weight normalization.
Preprint (May. 2023). arXiv

[484]

H. N. Dang • V. Golkov • T. Wimmer • D. Cremers • A. Maier • M. Zaiss
Joint MR sequence optimization beats pure neural network approaches for spin-echo MRI super-resolution.
Preprint (May. 2023). arXiv

[483]

Y. Liu • S. Feng • D. Wang • Y. Zhang • H. Schütze
Evaluate What You Can't Evaluate: Unassessable Quality for Generated Response.
Preprint (May. 2023). arXiv

[482]

H. Ye • Y. Liu • H. Schütze
A study of conceptual language similarity: comparison and evaluation.
Preprint (May. 2023). arXiv

[481]

D. Bär • F. Calderon • M. Lawlor • S. Licklederer • M. Totzauer • S. Feuerriegel
Analyzing Social Media Activities at Bellingcat.
WebSci 2023 - 15th ACM Web Science Conference 2023. Austin, TX, USA, Apr 30-May 01, 2023. DOI

[480]

L. G. M. Bauer • C. Leiber • C. Böhm • C. Plant
Extension of the Dip-test Repertoire - Efficient and Differentiable p-value Calculation for Clustering.
SDM 2023 - SIAM International Conference on Data Mining. Minneapolis, MN, USA, Apr 27-29, 2023. DOI

[479]

E. Dorigatti • B. Schubert • B. Bischl • D. Rügamer
Frequentist Uncertainty Quantification in Semi-Structured Neural Networks.
AISTATS 2023 - 26th International Conference on Artificial Intelligence and Statistics. Valencia, Spain, Apr 25-27, 2023. URL

[478]

G. Keropyan • D. Strieder • M. Drton
Rank-Based Causal Discovery for Post-Nonlinear Models.
AISTATS 2023 - 26th International Conference on Artificial Intelligence and Statistics. Valencia, Spain, Apr 25-27, 2023. URL

[477]

C. Luther • G. König • M. Grosse-Wentrup
Efficient SAGE Estimation via Causal Structure Learning.
AISTATS 2023 - 26th International Conference on Artificial Intelligence and Statistics. Valencia, Spain, Apr 25-27, 2023. URL

[476]

N. Pröllochs • S. Feuerriegel
Mechanisms of True and False Rumor Sharing in Social Media: Collective Intelligence or Herd Behavior?
CHI 2023 - Conference on Human Factors in Computing Systems. Hamburg, Germany, Apr 23-28, 2023. DOI

[475]

M. Rusu • S. Mayer
Deep Learning Super-Resolution Network Facilitating Fiducial Tangibles on Capacitive Touchscreens.
CHI 2023 - Conference on Human Factors in Computing Systems. Hamburg, Germany, Apr 23-28, 2023. DOI

[474]

M. Windl • A. Schmidt • S. S. Feger
Investigating Tangible Privacy-Preserving Mechanisms for Future Smart Homes.
CHI 2023 - Conference on Human Factors in Computing Systems. Hamburg, Germany, Apr 23-28, 2023. DOI

[473]

M. Windl • V. Winterhalter • A. Schmidt • S. Mayer
Understanding and Mitigating Technology-Facilitated Privacy Violations in the Physical World.
CHI 2023 - Conference on Human Factors in Computing Systems. Hamburg, Germany, Apr 23-28, 2023. DOI

[472]

M. Feurer • K. Eggensperger • E. Bergman • F. Pfisterer • B. Bischl • F. Hutter
Mind the Gap: Measuring Generalization Performance Across Multiple Objectives.
IDA 2023 - 21st International Symposium on Intelligent Data Analysis. Louvain-la-Neuve, Belgium, Apr 12-14, 2023. DOI

[471]

D. Schubert • P. Gupta • M. Wever
Meta-learning for Automated Selection of Anomaly Detectors for Semi-supervised Datasets.
IDA 2023 - 21st International Symposium on Intelligent Data Analysis. Louvain-la-Neuve, Belgium, Apr 12-14, 2023. DOI

[470]

A. Karollus • J. Hingerl • D. Gankin • M. Grosshauser • K. Klemon • J. Gagneur
Species-aware DNA language models capture regulatory elements and their evolution.
Genome Biology 35.83. Apr. 2023. DOI

[469]

D. Schalk • B. Bischl • D. Rügamer
Accelerated Componentwise Gradient Boosting Using Efficient Data Representation and Momentum-Based Optimization.
Journal of Computational and Graphical Statistics 32.2. Apr. 2023. DOI

[468]

T. Tornede • A. Tornede • L. Fehring • L. Gehring • H. Graf • J. Hanselle • F. Mohr • M. Wever
PyExperimenter: Easily distribute experiments and track results.
The Journal of Open Source Software 8.86. Apr. 2023. DOI

[467]

M. Herrmann • F. Pfisterer • F. Scheipl
A geometric framework for outlier detection in high-dimensional data.
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery e1491. Apr. 2023. DOI

[466]

M. K. Belaid • D. E. Mekki • M. Rabus • E. Hüllermeier
Optimizing Data Shapley Interaction Calculation from $O(2^n)$ to $O(t n^2)$ for KNN models.
Preprint (Apr. 2023). arXiv

[465]

S. Dandl • A. Hofheinz • M. Binder • B. Bischl • G. Casalicchio
counterfactuals: An R Package for Counterfactual Explanation Methods.
Preprint (Apr. 2023). arXiv

[464]

P. T. da Silva • Y. Zhang • E. Theodorakis • L. D. Martens • V. A. Yépez • V. Pelechano • J. Gagneur
Cellular energy regulates mRNA translation and degradation in a codon-specific manner.
Preprint (Apr. 2023). DOI

[463]

J. Maly • R. Saab
A simple approach for quantizing neural networks.
Preprint (Apr. 2023). arXiv

[462]

L. Sun
Well-posedness and L1−Lp Smoothing Effect of the Porous Media Equation under Poincaré Inequality.
Preprint (Apr. 2023). arXiv

[461]

T. Wimmer • V. Golkov • H. Dang • M. Zaiss • A. Maier • D. Cremers
Scale-Equivariant Deep Learning for 3D Data.
Preprint (Apr. 2023). arXiv GitHub

[460]

Y. Yeganeh • A. Farshad • P. Weinberger • S.-A. Ahmadi • E. Adeli • N. Navab
DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation.
Preprint (Apr. 2023). arXiv

[459]

E. Hüllermeier
Representation of Quantification of Uncertainty in Machine Learning.
TRR 165/181 2023 - Scale interactions, data-driven modeling, and uncertainty in weather and climate. Ingolstadt, Germany, Mar 27-30, 2023. Invited Talk. PDF

[458]

D. Schalk
Modern approaches for component-wise boosting: Automation, efficiency, and distributed computing with application to the medical domain.
Dissertation LMU München. Mar. 2023. DOI

[457]

L. He • N. Otani • D. R. Mortensen • L. Levin • H. Schütze
Construction Grammar Provides Unique Insight into Neural Language Models.
GURT 2023 - Georgetown University Round Table on Linguistics. Washington D.C., USA, Mar 09-12, 2023. URL

[456]

J. Moosbauer • G. Casalicchio • M. Lindauer • B. Bischl
Improving Accuracy of Interpretability Measures in Hyperparameter Optimization via Bayesian Algorithm Execution.
COSEAL 2023 - Workshop on Configuration and Selection of Algorithms. Paris, France, Mar 06-08, 2023. arXiv

[455]

T. Ullmann • A. Beer • M. Hünemörder • T. Seidl • A.-L. Boulesteix
Over-optimistic evaluation and reporting of novel cluster algorithms: An illustrative study.
Advances in Data Analysis and Classification 17. Mar. 2023. DOI

[454]

L. Zumeta-Olaskoaga • M. Weigert • J. Larruskain • E. Bikandi • I. Setuain • J. Lekue • H. Küchenhoff • D.-J. Lee
Prediction of sports injuries in football: a recurrent time-to-event approach using regularized Cox models.
Advances in Statistical Analysis 107. Mar. 2023. DOI

[453]

Q. Khan • I. Sülö • M. Öcal • D. Cremers
Learning vision based autonomous lateral vehicle control without supervision.
Applied Intelligence 53. Mar. 2023. DOI GitHub

[452]

P. Heid
A short note on an adaptive damped Newton method for strongly monotone and Lipschitz continuous operator equations.
Archiv der Mathematik. Mar. 2023. URL

[451]

A. Scagliotti
Optimal control of ensembles of dynamical systems.
ESAIM - Control, Optimisation and Calculus of Variations 29.22. Mar. 2023. DOI

[450]

S. Klenk • L. Koestler • D. Scaramuzza • D. Cremers
E-NeRF: Neural Radiance Fields from a Moving Event Camera.
IEEE Robotics and Automation Letters 8.3. Mar. 2023. DOI

[449]

T. Nagler • T. Vatter
Solving Estimating Equations With Copulas.
Journal of the American Statistical Association 119.546. Mar. 2023. DOI

[448]

D. S. Fischer • A. C. Schaar • F. J. Theis
Modeling intercellular communication in tissues using spatial graphs of cell.
Nature Biotechnology 41. Mar. 2023. DOI

[447]

L. Heumos • A. C. Schaar • C. Lance • A. Litinetskaya • F. Drost • L. Zappia • M. D. Lücken • D. C. Strobl • J. Henao • F. Curion • S.-c. Best Practices Consortium • H. B. Schiller • F. J. Theis
Best practices for single-cell analysis across modalities.
Nature Reviews Genetics 24. Mar. 2023. DOI

[446]

L. Haliburton • S. Y. Schött • L. Hirsch • R. Welsch • A. Schmidt
Feeling the Temperature of the Room: Unobtrusive Thermal Display of Engagement during Group Communication.
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7.2. Mar. 2023. DOI

[445]

B. Bischl • M. Binder • M. Lang • T. Pielok • J. Richter • S. Coors • J. Thomas • T. Ullmann • M. Becker • A.-L. Boulesteix • D. Deng • M. Lindauer
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges.
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13.2. Mar. 2023. DOI

[444]

J. Brandt • E. Schede • B. Haddenhorst • V. Bengs • E. Hüllermeier • K. Tierney
AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration.
AAAI 2023 - 37th Conference on Artificial Intelligence. Washington, DC, USA, Feb 07-14, 2023. DOI

[443]

D. Frauen • T. Hatt • V. Melnychuk • S. Feuerriegel
Estimating Average Causal Effects from Patient Trajectories.
AAAI 2023 - 37th Conference on Artificial Intelligence. Washington, DC, USA, Feb 07-14, 2023. DOI

[442]

R. Koner • T. Hannan • S. Shit • S. Sharifzadeh • M. Schubert • T. Seidl • V. Tresp
InstanceFormer: An Online Video Instance Segmentation Framework.
AAAI 2023 - 37th Conference on Artificial Intelligence. Washington, DC, USA, Feb 07-14, 2023. DOI GitHub

[441]

G. König • T. Freiesleben • M. Grosse-Wentrup
Improvement-focused causal recourse (ICR).
AAAI 2023 - 37th Conference on Artificial Intelligence. Washington, DC, USA, Feb 07-14, 2023. DOI

[440]

D. Rügamer • C. Kolb • N. Klein
Semi-Structured Distributional Regression.
American Statistician. Feb. 2023. DOI

[439]

S. Schallmoser • T. Zueger • M. Kraus • M. Saar-Tsechansky • C. Stettler • S. Feuerriegel
Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals With Prediabetes or Diabetes: Retrospective Cohort Study.
Journal of Medical Internet Research 25. Feb. 2023. DOI

[438]

D. Rügamer • P. Baumann • T. Kneib • T. Hothorn
Probabilistic Time Series Forecasts with Autoregressive Transformation Models.
Statistics and Computing 33.2. Feb. 2023. DOI

[437]

D. Schalk • V. S. Hoffmann • B. Bischl • U. Mansmann
dsBinVal: Conducting distributed ROC analysis using DataSHIELD.
The Journal of Open Source Software 8.82. Feb. 2023. DOI

[436]

J. Brandt • M. Wever • D. Iliadis • V. Bengs • E. Hüllermeier
Iterative Deepening Hyperband.
Preprint (Feb. 2023). arXiv

[435]

D. Rügamer
mixdistreg: An R Package for Fitting Mixture of Experts Distributional Regression with Adaptive First-order Methods.
Preprint (Feb. 2023). arXiv

[434]

L. Sang • B. Häfner • X. Zuo • D. Cremers
High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF.
WACV 2023 - IEEE/CVF Winter Conference on Applications of Computer Vision. Waikoloa, Hawaii, Jan 03-07, 2023. DOI

[433]

V. Bengs • E. Hüllermeier
Multi-armed bandits with censored consumption of resources.
Machine Learning 112.1. Jan. 2023. DOI

[432]

T. Ullmann • S. Peschel • P. Finger • C. L. Müller • A.-L. Boulesteix
Over-optimism in unsupervised microbiome analysis: Insights from network learning and clustering.
PLOS Computational Biology 19.1. Jan. 2023. DOI

[431]

P. Gupta • J. P. Drees • E. Hüllermeier
Automated Side-Channel Attacks using Black-Box Neural Architecture Search.
Preprint (Jan. 2023). URL

2022

[430]

O. Shchur
Modeling Continuous-time Event Data with Neural Temporal Point Processes.
Dissertation TU München. Dec. 2022. URL

[429]

J. Goschenhofer • P. Ragupathy • C. Heumann • B. Bischl • M. Aßenmacher
CC-Top: Constrained Clustering for Dynamic Topic Discovery.
EvoNLP 2022 - 1st Workshop on Ever Evolving NLP. Abu Dhabi, United Arab Emirates, Dec 07, 2022. URL

[428]

T. Ullmann
Evaluation of clustering results and novel cluster algorithms: a metascientific perspective.
Dissertation LMU München. Dec. 2022. DOI

[427]

C. M. Verdun
Scalability in Ill-posed Machine Learning Problems: Bridging Least Squares Methods with (Non-)convex Algorithms.
Dissertation TU München. Dec. 2022. DOI

[426]

R. Foygel Barber • M. Drton • N. Sturma • L. Weihs
Half-trek criterion for identifiability of latent variable models.
Annals of Statistics 50.6. Dec. 2022. DOI

[425]

S. Legler • T. Janjic • M. H. Shaker • E. Hüllermeier
Machine learning for estimating parameters of a convective-scale model: A comparison of neural networks and random forests.
Computational Intelligence 2022 - 32nd Workshop on Computational Intelligence of the VDI/VDE-Gesellschaft für Mess- und Automatisierungstechnik. Berlin, Germany, Dec 01-02, 2022. PDF

[424]

K. Lotto • T. Nagler • M. Radic
Modeling Stochastic Data Using Copulas for Applications in the Validation of Autonomous Driving.
Electronics 11.24. Dec. 2022. DOI

[423]

M. Ali • M. Berrendorf • C. T. Hoyt • L. Vermue • M. Galkin • S. Sharifzadeh • A. Fischer • V. Tresp • J. Lehmann
Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models under a Unified Framework.
IEEE Transactions on Pattern Analysis and Machine Intelligence 44.12. Dec. 2022. DOI GitHub

[422]

F. Ott • D. Rügamer • L. Heublein • T. Hamann • J. Barth • B. Bischl • C. Mutschler
Benchmarking online sequence-to-sequence and character-based handwriting recognition from IMU-enhanced pens.
International Journal on Document Analysis and Recognition 25.4. Dec. 2022. DOI

[421]

C. Fritz • G. De Nicola • F. Günther • D. Rügamer • M. Rave • M. Schneble • A. Bender • M. Weigert • R. Brinks • A. Hoyer • U. Berger • H. Küchenhoff • G. Kauermann
Challenges in Interpreting Epidemiological Surveillance Data – Experiences from Germany.
Journal of Computational and Graphical Statistics 32.3. Dec. 2022. DOI

[420]

D. Bethge • L. F. Coelho • T. Kosch • S. Murugaboopathy • U. von Zadow • A. Schmidt • T. Grosse-Puppendahl
Technical Design Space Analysis for Unobtrusive Driver Emotion Assessment Using Multi-Domain Context.
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6.4. Dec. 2022. DOI

[419]

H. Boche • A. Fono • G. Kutyniok
Non-Computability of the Pseudoinverse on Digital Computers.
Preprint (Dec. 2022). arXiv

[418]

H. Huang • J. Qiu • K. Riedl
Consensus-Based Optimization for Saddle Point Problems.
Preprint (Dec. 2022). arXiv

[417]

W. Durani • D. Mautz • C. Plant • C. Böhm
DBHD: Density-based clustering for highly varying density.
ICDM 2022 - 22nd IEEE International Conference on Data Mining. Orlando, FL, USA, Nov 30-Dec 02, 2022. DOI

[416]

S. Gilhuber • P. Jahn • Y. Ma • T. Seidl
VERIPS: Verified Pseudo-label Selection for Deep Active Learning.
ICDM 2022 - 22nd IEEE International Conference on Data Mining. Orlando, FL, USA, Nov 30-Dec 02, 2022. DOI GitHub

[415]

M. Rezaei • E. Dorigatti • D. Rügamer • B. Bischl
Joint Debiased Representation Learning and Imbalanced Data Clustering.
Workshop @ICDM 2022 - Workshop at the 22nd IEEE International Conference on Data Mining. Orlando, FL, USA, Nov 30-Dec 02, 2022. DOI

[414]

N. Strauß • M. Berrendorf • T. Haider • M. Schubert
A Comparison of Ambulance Redeployment Systems on Real-World Data.
Workshop @ICDM 2022 - Workshop at the 22nd IEEE International Conference on Data Mining. Orlando, FL, USA, Nov 30-Dec 02, 2022. DOI GitHub

[413]

W. Simson
Physics-Informed Deep Learning for Advanced Medical Ultrasound.
Dissertation TU München. Nov. 2022. URL

[412]

J. Ullerich • M. Windl • A. Bulling • S. Mayer
ThumbPitch: Enriching Thumb Interaction on Mobile Touchscreens using Deep Learning.
OZCHI 2022 - 34th Australian Conference on Human-Computer Interaction. Canberra, Australia, Nov 29-Dec 02, 2022. DOI

[411]

N. Hurmer • X.-Y. To • M. Binder • H. A. Gündüz • P. C. Münch • R. Mreches • A. C. McHardy • B. Bischl • M. Rezaei
Transformer Model for Genome Sequence Analysis.
LMRL @NeurIPS 2022 - Workshop on Learning Meaningful Representations of Life at the 36th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Nov 28-Dec 09, 2022. URL

[410]

I. Ziegler • B. Ma • E. Nie • B. Bischl • D. Rügamer • B. Schubert • E. Dorigatti
What cleaves? Is proteasomal cleavage prediction reaching a ceiling?
LMRL @NeurIPS 2022 - Workshop on Learning Meaningful Representations of Life at the 36th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Nov 28-Dec 09, 2022. URL

[409]

H. Aliee • T. Richter • M. Solonin • I. Ibarra • F. J. Theis • N. Kilbertus
Sparsity in Continuous-Depth Neural Networks.
NeurIPS 2022 - 36th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Nov 28-Dec 09, 2022. URL

[408]

V. Bengs • E. Hüllermeier • W. Waegeman
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation.
NeurIPS 2022 - 36th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Nov 28-Dec 09, 2022. URL

[407]

A. Blattmann • R. Rombach • K. Oktay • B. Ommer
Retrieval-Augmented Diffusion Models.
NeurIPS 2022 - 36th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Nov 28-Dec 09, 2022. URL

[406]

J. Brandt • V. Bengs • B. Haddenhorst • E. Hüllermeier
Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget.
NeurIPS 2022 - 36th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Nov 28-Dec 09, 2022. URL

[405]

L. Hetzel • S. Boehm • N. Kilbertus • S. Günnemann • M. Lotfollahi • F. J. Theis
Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution.
NeurIPS 2022 - 36th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Nov 28-Dec 09, 2022. URL

[404]

H. H.-H. Hsu • Y. Shen • C. Tomani • D. Cremers
What Makes Graph Neural Networks Miscalibrated?
NeurIPS 2022 - 36th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Nov 28-Dec 09, 2022. URL

[403]

C. Koke • G. Kutyniok
Graph Scattering beyond Wavelet Shackles.
NeurIPS 2022 - 36th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Nov 28-Dec 09, 2022. URL

[402]

S. Maskey • R. Levie • Y. Lee • G. Kutyniok
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs.
NeurIPS 2022 - 36th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Nov 28-Dec 09, 2022. URL

[401]

Y. Scholten • J. Schuchardt • S. Geisler • A. Bojchevski • S. Günnemann
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks.
NeurIPS 2022 - 36th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Nov 28-Dec 09, 2022. URL

[400]

Y. Shen • D. Cremers
Deep Combinatorial Aggregation.
NeurIPS 2022 - 36th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Nov 28-Dec 09, 2022. URL

[399]

Y. Zhou • G. Kutyniok • B. Ribeiro
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs.
NeurIPS 2022 - 36th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Nov 28-Dec 09, 2022. URL

[398]

H. H.-H. Hsu • Y. Shen • D. Cremers
A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs.
New Frontiers in Graph Learning @NeurIPS 2022 - Workshop on New Frontiers in Graph Learning at the 36th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Nov 28-Dec 09, 2022. URL

[397]

J. Li • M. Zhao • Y. Xie • A. Maronikolakis • P. Pu • H. Schütze
This joke is [MASK]: Recognizing Humor and Offense with Prompting.
TL4NLP @NeurIPS 2022 - 1st Transfer Learning for Natural Language Processing Workshop at the 36th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Nov 28-Dec 09, 2022. URL

[396]

A. Farshad • Y. Yeganeh • H. Dhamo • F. Tombari • N. Navab
DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation.
BMVC 2022 - 33rd British Machine Vision Conference. London, UK, Nov 21-24, 2022. URL GitHub

[395]

M. Windl • A. Hiesinger • R. Welsch • A. Schmidt • S. S. Feger
SaferHome: Interactive Physical and Digital Smart Home Dashboards for Communicating Privacy Assessments to Owners and Bystanders.
ISS 2022 - ACM Interactive Surfaces and Spaces Conference. Wellington, New Zealand, Nov 20-23, 2022. DOI

[394]

A. Campagner • J. Lienen • E. Hüllermeier • D. Ciucci
Scikit-Weak: A Python Library for Weakly Supervised Machine Learning.
IJCRS 2022 - International Joint Conference on Rough Sets. Suzhou, China, Nov 11-14, 2022. DOI

[393]

A. Frikha
Deep knowledge transfer for generalization across tasks and domains under data scarcity: on intersections of anomaly detection, few-shot learning, continual learning, domain generalization and data-free learning.
Dissertation LMU München. Nov. 2022. DOI

[392]

J. Baan • W. Aziz • B. Plank • R. Fernandez
Stop Measuring Calibration When Humans Disagree.
EMNLP 2022 - Conference on Empirical Methods in Natural Language Processing. Abu Dhabi, United Arab Emirates, Nov 07-11, 2022. DOI

[391]

E. Bassignana • M. Müller-Eberstein • M. Zhang • B. Plank
Evidence > Intuition: Transferability Estimation for Encoder Selection.
EMNLP 2022 - Conference on Empirical Methods in Natural Language Processing. Abu Dhabi, United Arab Emirates, Nov 07-11, 2022. DOI

[390]

V. Hangya • H. S. Saadi • A. Fraser
Improving Low-Resource Languages in Pre-Trained Multilingual Language Models.
EMNLP 2022 - Conference on Empirical Methods in Natural Language Processing. Abu Dhabi, United Arab Emirates, Nov 07-11, 2022. DOI

[389]

A. Imani • S. Severini • M. J. Sabet • F. Yvon • H. Schütze
Graph-Based Multilingual Label Propagation for Low-Resource Part-of-Speech Tagging.
EMNLP 2022 - Conference on Empirical Methods in Natural Language Processing. Abu Dhabi, United Arab Emirates, Nov 07-11, 2022. DOI

[388]

M. Müller-Eberstein • R. van der Goot • B. Plank
Spectral Probing.
EMNLP 2022 - Conference on Empirical Methods in Natural Language Processing. Abu Dhabi, United Arab Emirates, Nov 07-11, 2022. DOI

[387]

B. Plank
The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation.
EMNLP 2022 - Conference on Empirical Methods in Natural Language Processing. Abu Dhabi, United Arab Emirates, Nov 07-11, 2022. DOI

[386]

L. Weissweiler • V. Hofmann • A. Köksal • H. Schütze
The better your Syntax, the better your Semantics? Probing Pretrained Language Models for the English Comparative Correlative.
EMNLP 2022 - Conference on Empirical Methods in Natural Language Processing. Abu Dhabi, United Arab Emirates, Nov 07-11, 2022. DOI

[385]

E. Bassignana • B. Plank
CrossRE: A Cross-Domain Dataset for Relation Extraction.
Findings @EMNLP 2022 - Findings of the Conference on Empirical Methods in Natural Language Processing. Abu Dhabi, United Arab Emirates, Nov 07-11, 2022. DOI

[384]

W. Lai • A. Chronopoulou • A. Fraser
m4 Adapter: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter.
Findings @EMNLP 2022 - Findings of the Conference on Empirical Methods in Natural Language Processing. Abu Dhabi, United Arab Emirates, Nov 07-11, 2022. DOI

[383]

D. Ulmer • E. Bassignana • M. Müller-Eberstein • D. Varab • M. Zhang • R. van der Goot • C. Hardmeier • B. Plank
Experimental Standards for Deep Learning in Natural Language Processing Research.
Findings @EMNLP 2022 - Findings of the Conference on Empirical Methods in Natural Language Processing. Abu Dhabi, United Arab Emirates, Nov 07-11, 2022. DOI

[382]

H. S. Saadi • V. Hangya • T. Eder • A. Fraser
Comparative Analysis of Cross-lingual Contextualized Word Embeddings.
MRL 2022 @EMNLP 2022 - 2nd Workshop on Multi-lingual Representation Learning at the Conference on Empirical Methods in Natural Language Processing. Abu Dhabi, United Arab Emirates, Nov 07-11, 2022. DOI

[381]

M. Bernhard • M. Schubert
Robust Object Detection in Remote Sensing Imagery with Noisy and Sparse Geo-Annotations.
ACM SIGSPATIAL 2022 - 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. Seattle, WA, USA, Nov 01-04, 2022. DOI GitHub

[380]

E. Pretzsch • V. Heinemann • S. Stintzing • A. Bender • S. Chen • J. W. Holch • F. O. Hofmann • H. Ren • F. Böschand • H. Küchenhoff • J. Werner • M. K. Angele
EMT-Related Genes Have No Prognostic Relevance in Metastatic Colorectal Cancer as Opposed to Stage II/III: Analysis of the Randomised, Phase III Trial FIRE-3 (AIO KRK 0306; FIRE-3).
Cancers 14.22. Nov. 2022. DOI

[379]

A. Lohrer • J. J. Binder • P. Kröger
Group Anomaly Detection for Spatio-Temporal Collective Behaviour Scenarios in Smart Cities.
IWCTS @ACM SIGSPATIAL 2022 - 15th International Workshop on Computational Transportation Science at the 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. Seattle, WA, USA, Nov 01-04, 2022. DOI

[378]

D. S. Fischer • M. Ali • S. Richter • A. Ertürk • F. J. Theis
Graph neural networks learn emergent tissue properties from spatial molecular profiles.
Preprint (Nov. 2022). DOI

[377]

M. Herrmann
Towards more reliable machine learning: conceptual insights and practical approaches for unsupervised manifold learning and supervised benchmark studies.
Dissertation LMU München. Oct. 2022. DOI

[376]

S. Shit • R. Koner • B. Wittmann • J. C. Paetzold • I. Ezhov • H. Li • J. Pan • S. Sharifzadeh • G. Kaissis • V. Tresp • B. Menze
Relationformer: A Unified Framework for Image-to-Graph Generation.
ECCV 2022 - 17th European Conference on Computer Vision. Tel Aviv, Israel, Oct 23-27, 2022. DOI GitHub

[375]

C. Tomani • D. Cremers • F. Buettner
Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration.
ECCV 2022 - 17th European Conference on Computer Vision. Tel Aviv, Israel, Oct 23-27, 2022. DOI GitHub

[374]

F. Pfisterer
Democratizing machine learning: contributions in AutoML and fairness.
Dissertation LMU München. Oct. 2022. DOI

[373]

C. Zelenka • A. Lohrer • M. Bayer • P. Kröger
AI4EO Hyperview: A SpectralNet3D and RNNPlus Approach for Sustainable Soil Parameter Estimation on Hyperspectral Image Data.
ICIP 2022 - IEEE International Conference on Image Processing. Bordeaux, France, Oct 16-19, 2022. DOI

[372]

F. Ott • D. Rügamer • L. Heublein • B. Bischl • C. Mutschler
Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift.
MM 2022 - 30th ACM International Conference on Multimedia. Lisbon, Portugal, Oct 10-14, 2022. DOI

[371]

N. Palm • F. Stroebl • H. Palm
Parameter Individual Optimal Experimental Design and Calibration of Parametric Models.
IEEE Access 10. Oct. 2022. DOI GitHub

[370]

J. Moosbauer • M. Binder • L. Schneider • F. Pfisterer • M. Becker • M. Lang • L. Kotthoff • B. Bischl
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers.
IEEE Transactions on Evolutionary Computation 26.6. Oct. 2022. DOI

[369]

E. Schede • J. Brandt • A. Tornede • M. Wever • V. Bengs • E. Hüllermeier • K. Tierney
A Survey of Methods for Automated Algorithm Configuration.
Journal of Artificial Intelligence Research 75. Oct. 2022. DOI

[368]

K. Röck • D. Rügamer • B. Bischl • U. von Toussaint • C. Rea • A. Maris • R. Granetz • C. G. Albert
Data augmentation for disruption prediction via robust surrogate models.
Journal of Plasma Physics 88.5. Oct. 2022. DOI

[367]

I. Obadic • R. Roscher • D. A. B. Oliveira • X. Zhu
Exploring Self-Attention for Crop-type Classification Explainability.
Preprint (Oct. 2022). arXiv

[366]

M. Windl • S. Mayer
The Skewed Privacy Concerns of Bystanders in Smart Environments.
MobileHCI 2022 - ACM International Conference on Mobile Human-Computer Interaction. Vancouver, Canada, Sep 28-Oct 01, 2022. DOI

[365]

C. M. M. Frey • Y. Ma • M. Schubert
SEA: Graph Shell Attention in Graph Neural Networks.
ECML-PKDD 2022 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Grenoble, France, Sep 19-23, 2022. DOI

[364]

D. Rügamer • A. Bender • S. Wiegrebe • D. Racek • B. Bischl • C. L. Müller • C. Stachl
Factorized Structured Regression for Large-Scale Varying Coefficient Models.
ECML-PKDD 2022 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Grenoble, France, Sep 19-23, 2022. DOI

[363]

N. Strauß • D. Winkel • M. Berrendorf • M. Schubert
Reinforcement Learning for Multi-Agent Stochastic Resource Collection.
ECML-PKDD 2022 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Grenoble, France, Sep 19-23, 2022. DOI

[362]

D. Winkel • N. Strauß • M. Schubert • T. Seidl
Risk-Aware Reinforcement Learning for Multi-Period Portfolio Selection.
ECML-PKDD 2022 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Grenoble, France, Sep 19-23, 2022. DOI

[361]

S. Gilhuber • M. Berrendorf • Y. Ma • T. Seidl
Accelerating Diversity Sampling for Deep Active Learning By Low-Dimensional Representations.
IAL @ECML-PKDD 2022 - 6th International Workshop on Interactive Adaptive Learning at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Grenoble, France, Sep 19-23, 2022. PDF GitHub

[360]

L. Bothmann • S. Strickroth • G. Casalicchio • D. Rügamer • M. Lindauer • F. Scheipl • B. Bischl
Developing Open Source Educational Resources for Machine Learning and Data Science.
Teaching Machine Learning and Artificial Intelligence Workshop @ECML-PKDD 2022 - 3rd Teaching Machine Learning and Artificial Intelligence Workshop at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Grenoble, France, Sep 19-23, 2022. URL

[359]

D. Deng • F. Karl • F. Hutter • B. Bischl • M. Lindauer
Efficient Automated Deep Learning for Time Series Forecasting.
Workshops @ECML-PKDD 2022 - Workshops at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Grenoble, France, Sep 19-23, 2022. DOI

[358]

A. Farshad • A. Makarevich • V. Belagiannis • N. Navab
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation.
DART @MICCAI 2022 - 4th Workshop on Domain Adaptation and Representation Transfer at the 25th International Conference on Medical Image Computing and Computer Assisted Intervention. Singapore, Sep 18-22, 2022. DOI GitHub

[357]

Y. Yeganeh • A. Farshad • J. Boschmann • R. Gaus • M. Frantzen • N. Navab
FedAP: Adaptive Personalization in Federated Learning for Non-IID Data.
DeCaF FAIR @MICCAI 2022 - 3rd Workshop on Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health at the 25th International Conference on Medical Image Computing and Computer Assisted Intervention. Singapore, Sep 18-22, 2022. DOI

[356]

T. Weber • M. Ingrisch • B. Bischl • D. Rügamer
Implicit Embeddings via GAN Inversion for High Resolution Chest Radiographs.
MAD @MICCAI 2022 - 1st Workshop on Medical Applications with Disentanglements at the 25th International Conference on Medical Image Computing and Computer Assisted Intervention. Singapore, Sep 18-22, 2022. DOI

[355]

A. Farshad • Y. Yeganeh • P. Gehlbach • N. Navab
Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation.
MICCAI 2022 - 25th International Conference on Medical Image Computing and Computer Assisted Intervention. Singapore, Sep 18-22, 2022. DOI GitHub

[354]

P. Engstler • M. Keicher • D. Schinz • K. Mach • A. S. Gersing • S. C. Foreman • S. S. Goller • J. Weissinger • J. Rischewski • A.-S. Dietrich • B. Wiestler • J. S. Kirschke • A. Khakzar • N. Navab
Interpretable Vertebral Fracture Diagnosis.
iMIMIC @MICCAI 2022 - Workshop on Interpretability of Machine Intelligence in Medical Image Computing at the 25th International Conference on Medical Image Computing and Computer Assisted Intervention. Singapore, Sep 18-22, 2022. DOI GitHub

[353]

E. Hohma • C. M. M. Frey • A. Beer • T. Seidl
SCAR - Spectral Clustering Accelerated and Robustified.
VLDB 2022 - 48th International Conference on Very Large Databases. Sydney, Australia (and hybrid), Sep 05-09, 2022. DOI GitHub

[352]

R. Sonabend • A. Bender • S. Vollmer
Avoiding C-hacking when evaluating survival distribution predictions with discrimination measures.
Bioinformatics 38.17. Sep. 2022. DOI GitHub

[351]

G. Brasó • O. Cetintas • L. Leal-Taixé
Multi-Object Tracking and Segmentation Via Neural Message Passing.
International Journal of Computer Vision 130.12. Sep. 2022. DOI GitHub

[350]

B. A. Hersbach • D. S. Fischer • G. Masserdotti • Deeksha • K. Mojžišová • T. Waltzhöni • D. Rodriguez‐Terrones • M. Heinig • F. J. Theis • M. Götz • S. H. Stricker
Probing cell identity hierarchies by fate titration and collision during direct reprogramming.
Molecular Systems Biology 18.e11129. Sep. 2022. DOI

[349]

C. Fritz • M. Mehrl • P. W. Thurner • G. Kauermann
All that Glitters is not Gold: Relational Events Models with Spurious Events.
Network Science 11.2. Sep. 2022. DOI

[348]

W. Ghada • E. Casellas • J. Herbinger • A. Garcia-Benadí • L. Bothmann • N. Estrella • J. Bech • A. Menzel
Stratiform and Convective Rain Classification Using Machine Learning Models and Micro Rain Radar.
Remote Sensing 14.18. Sep. 2022. DOI

[347]

E. Dorigatti • B. Bischl • B. Schubert
Improved proteasomal cleavage prediction with positive-unlabeled learning.
Preprint (Sep. 2022). arXiv

[346]

E. Dorigatti • J. Schweisthal • B. Bischl • M. Rezaei
Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision.
Preprint (Sep. 2022). arXiv GitHub

[345]

S. Laina • S. Boche • S. Papatheodorou • S. Schaefer • J. Jung • S. Leutenegger
FindAnything: Open-Vocabulary and Object-Centric Mapping for Robot Exploration in Any Environment.
Preprint (Sep. 2022). arXiv

[344]

P. Lin • J. Wang • H. Schütze • W. Li
Modeling Content-Emotion Duality via Disentanglement for Empathetic Conversation.
Preprint (Sep. 2022). arXiv

[343]

C. A. Scholbeck • H. Funk • G. Casalicchio
Algorithm-Agnostic Interpretations for Clustering.
Preprint (Sep. 2022). arXiv

[342]

S.-F. Zheng • J. Nam • E. Dorigatti • B. Bischl • S. Azizi • M. Rezaei
Joint Debiased Representation and Image Clustering Learning with Self-Supervision.
Preprint (Sep. 2022). arXiv GitHub

[341]

F. Ott • D. Rügamer • L. Heublein • B. Bischl • C. Mutschler
Representation Learning for Tablet and Paper Domain Adaptation in favor of Online Handwriting Recognition.
MPRSS @ICPR 2022 - 7th International Workshop on Multimodal pattern recognition of social signals in human computer interaction at the 26th International Conference on Pattern Recognition. Montreal, Canada, Aug 21-25, 2022. arXiv

[340]

C. Leiber • L. G. M. Bauer • M. Neumayr • C. Plant • C. Böhm
The DipEncoder: Enforcing Multimodality in Autoencoders.
KDD 2022 - 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Washington, DC, USA, Aug 14-18, 2022. DOI

[339]

E. M. A. Slob • A. Faiz • J. van Nijnatten • S. J. H. Vijverberg • C. Longo • M. Kutlu • F. T. Chew • Y. Y. Sio • E. Herrera-Luis • A. Espuela-Ortiz • J. Perez-Garcia • M. Pino-Yanes • E. G. Burchard • U. Potočnik • M. Gorenjak • C. Palmer • C. Maroteau • S. Turner • K. Verhamme • L. Karimi • S. Mukhopadhyay • W. Timens • P. S. Hiemstra • M. W. Pijnenburg • M. Neighbors • M. A. Grimbaldeston • G. W. Tew • C. A. Brandsma • V. Berce • H. Aliee • F. J. Theis • D. D. Sin • X. Li • M. van den Berge • A. H. Zee • G. H. Koppelman
Association of bronchial steroid inducible methylation quantitative trait loci with asthma and chronic obstructive pulmonary disease treatment response.
Clinical and Translational Allergy 12.8. Aug. 2022. DOI

[338]

M. van Smeden • G. Heinze • B. Van Calster • F. W. Asselbergs • P. E. Vardas • N. Bruining • P. de Jaegere • J. H. Moore • S. Denaxas • A.-L. Boulesteix • K. G. M. Moons
Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease.
European Heart Journal 43.31. Aug. 2022. DOI

[337]

M. Lotfollahi • M. Naghipourfar • M. D. Luecken • M. Khajavi • M. Büttner • M. Wagenstetter • Z. Avsec • A. Gayoso • N. Yosef • M. Interlandi • S. Rybakov • A. V. Misharin • F. J. Theis
Mapping single-cell data to reference atlases by transfer learning.
Nature Biotechnology 40. Aug. 2022. DOI

[336]

M. Schneble • G. Kauermann
Estimation of Latent Network Flows in Bike-Sharing Systems.
Statistical Modelling 22.2. Aug. 2022. DOI

[335]

C. Fritz • G. De Nicola • M. Rave • M. Weigert • Y. Khazaei • U. Berger • H. Küchenhoff • G. Kauermann
Statistical modelling of COVID-19 data: Putting generalized additive models to work.
Statistical Modelling 24.4. Aug. 2022. DOI

[334]

Z. Ding • Z. Li • R. Qi • J. Wu • B. He • Y. Ma • Z. Meng • S. Chen • R. Liao • Z. Han • V. Tresp
Forecasting Question Answering over Temporal Knowledge Graphs.
Preprint (Aug. 2022). arXiv

[333]

F. Ott • N. L. Raichur • D. Rügamer • T. Feigl • H. Neumann • B. Bischl • C. Mutschler
Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression.
Preprint (Aug. 2022). arXiv

[332]

L. Schneider • L. Schäpermeier • R. Prager • B. Bischl • H. Trautmann • P. Kerschke
HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis.
Preprint (Aug. 2022). arXiv

[331]

M. Fromm
Machine learning driven argument mining.
Dissertation LMU München. Jul. 2022. DOI

[330]

C. Fritz
Statistical approaches to dynamic networks in society.
Dissertation LMU München. Jul. 2022. DOI

[329]

F. Pfisterer • L. Schneider • J. Moosbauer • M. Binder • B. Bischl
YAHPO Gym - An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization.
AutoML 2022 - International Conference on Automated Machine Learning. Baltimore, MD, USA, Jul 25-27, 2022. URL GitHub

[328]

L. Schneider • F. Pfisterer • P. Kent • J. Branke • B. Bischl • J. Thomas
Tackling neural architecture search with quality diversity optimization.
AutoML 2022 - International Conference on Automated Machine Learning. Baltimore, MD, USA, Jul 25-27, 2022. URL

[327]

E. Schede • J. Brandt • A. Tornede • M. Wever • V. Bengs • E. Hüllermeier • K. Tierney
A Survey of Methods for Automated Algorithm Configuration.
IJCAI-ECAI 2022 - 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence. Vienna, Austria, Jul 23-29, 2022. Extended Abstract. DOI

[326]

M. Ali • M. Berrendorf • M. Galkin • V. Thost • T. Ma • V. Tresp • J. Lehmann
Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract).
IJCAI-ECAI 2022 - Best paper track at the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence. Vienna, Austria, Jul 23-29, 2022. DOI

[325]

A. Klaß • S. M. Lorenz • M. W. Lauer-Schmaltz • D. Rügamer • B. Bischl • C. Mutschler • F. Ott
Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift.
STRL 2022 @IJCAI-ECAI 2022 - Workshop on Spatio-Temporal Reasoning and Learningat the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence. Vienna, Austria, Jul 23-29, 2022. URL

[324]

M. J. Sabet
Multilingual representations and models for improved low-resource language processing.
Dissertation LMU München. Jul. 2022. DOI

[323]

A. Khakzar • Y. Li • Y. Zhang • M. Sanisoglu • S. T. Kim • M. Rezaei • B. Bischl • N. Navab
Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models.
IMLH @ICML 2022 - 2nd Workshop on Interpretable Machine Learning in Healthcare at the 39th International Conference on Machine Learning. Baltimore, MD, USA, Jul 17-23, 2022. arXiv

[322]

L. Hetzel • S. Boehm • N. Kilbertus • S. Günnemann • M. Lotfollahi • F. J. Theis
Predicting single-cell perturbation responses for unseen drugs.
MLDD @ICML 2022 - Workshop on Machine Learning for Drug Discovery at the 39th International Conference on Machine Learning. Baltimore, MD, USA, Jul 17-23, 2022. URL

[321]

H. Li • Q. Khan • V. Tresp • D. Cremers
Biologically Inspired Neural Path Finding.
BI 2022 - 15th International Conference on Brain Informatics. Padova, Italy, Jul 15-15, 2022. DOI GitHub

[320]

A. Maronikolakis • P. Baader • H. Schütze
Analyzing Hate Speech Data along Racial, Gender and Intersectional Axes.
GeBNLP 2022 - 4th Workshop on Gender Bias in Natural Language Processing. Seattle, WA, USA, Jul 15, 2022. DOI

[319]

S. Yuan • A. Maronikolakis • H. Schütze
Separating Hate Speech and Offensive Language Classes via Adversarial Debiasing.
WOAH 2022 - 6th Workshop on Online Abuse and Harms. Seattle, WA, USA, Jul 14, 2022. DOI

[318]

S. Dandl • F. Pfisterer • B. Bischl
Multi-Objective Counterfactual Fairness.
GECCO 2022 - Genetic and Evolutionary Computation Conference. Boston, MA, USA, Jul 09-13, 2022. DOI

[317]

L. Schneider • F. Pfisterer • J. Thomas • B. Bischl
A Collection of Quality Diversity Optimization Problems Derived from Hyperparameter Optimization of Machine Learning Models.
GECCO 2022 - Genetic and Evolutionary Computation Conference. Boston, MA, USA, Jul 09-13, 2022. DOI

[316]

M. Mittermeier • M. Weigert • D. Rügamer • H. Küchenhoff • R. Ludwig
A deep learning based classification of atmospheric circulation types over Europe: projection of future changes in a CMIP6 large ensemble.
Environmental Research Letters 17.8. Jul. 2022. DOI

[315]

K. Baßler • W. Fujii • T. S. Kapellos • E. Dudkin • N. Reusch • A. Horne • B. Reiz • M. D. Luecken • C. Osei-Sarpong • S. Warnat-Herresthal • L. Bonaguro • J. Schulte-Schrepping • A. Wagner • P. Günther • C. Pizarro • T. Schreiber • R. Knoll • L. Holsten • C. Kröger • E. De Domenico • M. Becker • K. Händler • C. T. Wohnhaas • F. Baumgartner • M. Köhler • H. Theis • M. Kraut • M. H. Wadsworth • T. K. Hughes • H. J. Ferreira • E. Hinkley • I. H. Kaltheuner • M. Geyer • C. Thiele • A. K. Shalek • A. Feißt • D. Thomas • H. Dickten • M. Beyer • P. Baum • N. Yosef • A. C. Aschenbrenner • T. Ulas • J. Hasenauer • F. J. Theis • D. Skowasch • J. L. Schultze
Alveolar macrophages in early stage COPD show functional deviations with properties of impaired immune activation.
Frontiers in Immunology 13. Jul. 2022. DOI

[314]

Z. Liu • Y. Ma • M. Hildebrandt • Y. Ouyang • Z. Xiong
CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations.
Knowledge and Information Systems 64. Jul. 2022. DOI

[313]

Y. Yeganeh • A. Farshad • N. Navab
Shape-Aware Masking for Inpainting in Medical Imaging.
Preprint (Jul. 2022). arXiv

[312]

Z. Liu • Y. Ma • M. Schubert • Y. Ouyang • Z. Xiong
Multi-Modal Contrastive Pre-training for Recommendation.
ICMR 2022 - ACM International Conference on Multimedia Retrieval. Newark, NJ, USA, Jun 27-30, 2022. DOI

[311]

A. Bauer
Flexible approaches in functional data and age-period-cohort analysis with application on complex geoscience data.
Dissertation LMU München. Jun. 2022. DOI

[310]

S. Severini • V. Hangya • M. J. Sabet • A. Fraser • H. Schütze
Don't Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings.
BUCC @LREC 2022 - 15th Workshop on Building and Using Comparable Corpora at the 13th International Conference on Language Resources and Evaluation. Marseille, France, Jun 21-23, 2022. URL

[309]

S. Severini • A. Imani • P. Dufter • H. Schütze
Towards a Broad Coverage Named Entity Resource: A Data-Efficient Approach for Many Diverse Languages.
LREC 2022 - 13th International Conference on Language Resources and Evaluation. Marseille, France, Jun 21-23, 2022. URL

[308]

A. Khakzar • P. Khorsandi • R. Nobahari • N. Navab
Do Explanations Explain? Model Knows Best.
CVPR 2022 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. New Orleans, LA, USA, Jun 19-24, 2022. DOI GitHub

[307]

D. Muhle • L. Koestler • N. Demmel • F. Bernard • D. Cremers
The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions.
CVPR 2022 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. New Orleans, LA, USA, Jun 19-24, 2022. DOI

[306]

V. Steinborn • P. Dufter • H. Jabbar • H. Schütze
An Information-Theoretic Approach and Dataset for Probing Gender Stereotypes in Multilingual Masked Language Models.
Findings @NAACL 2022 - Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Seattle, WA, USA, Jun 10-15, 2022. DOI

[305]

M. Zhao • F. Mi • Y. Wang • M. Li • X. Jiang • Q. Liu • H. Schütze
LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework.
Findings @NAACL 2022 - Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Seattle, WA, USA, Jun 10-15, 2022. DOI

[304]

M. Schneble • G. Kauermann
Intensity Estimation on Geometric Networks with Penalized Splines.
Annals of Applied Statistics 16.2. Jun. 2022. DOI

[303]

Q. Au • J. Herbinger • C. Stachl • B. Bischl • G. Casalicchio
Grouped Feature Importance and Combined Features Effect Plot.
Data Mining and Knowledge Discovery 36. Jun. 2022. DOI

[302]

F. Müller • Q. Khan • D. Cremers
Lateral Ego-Vehicle Control Without Supervision Using Point Clouds.
ICPRAI 2022 - 3rd International Conference on Pattern Recognition and Artificial Intelligence. Paris, France, Jun 01-03, 2022. DOI

[301]

S. Kevork • G. Kauermann
Bipartite Exponential Random Graph Models with Nodal Random Effects.
Social Networks 70. Jun. 2022. DOI

[300]

L. Weissweiler • V. Hofmann • M. J. Sabet • H. Schütze
CaMEL: Case Marker Extraction without Labels.
ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics. Dublin, Ireland, May 22-27, 2022. DOI

[299]

G. Fu • Z. Meng • Z. Han • Z. Ding • Y. Ma • M. Schubert • V. Tresp • R. Wattenhofer
TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion.
SPNLP @ACL 2022 - 6th ACL Workshop on Structured Prediction for NLP at the 60th Annual Meeting of the Association for Computational Linguistics. Dublin, Ireland, May 22-27, 2022. DOI

[298]

D. Zügner
Adversarial Robustness of Graph Neural Networks.
Dissertation TU München. May. 2022. URL

[297]

P. Kopper • S. Wiegrebe • B. Bischl • A. Bender • D. Rügamer
DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis.
PAKDD 2022 - 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Chengdu, China, May 16-19, 2022. DOI

[296]

A. Bauer • M. Weigert • H. Jalal
APCtools: Descriptive and Model-based Age-Period-Cohort Analysis.
The Journal of Open Source Software 7.73. May. 2022. DOI

[295]

T. Ullmann • C. Hennig • A.-L. Boulesteix
Validation of cluster analysis results on validation data: A systematic framework.
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 12.3. May. 2022. DOI

[294]

D. Rügamer
Additive Higher-Order Factorization Machines.
Preprint (May. 2022). arXiv

[293]

C. Tomani • D. Cremers
Challenger: Training with Attribution Maps.
Preprint (May. 2022). arXiv

[292]

M. Windl • S. S. Feger • L. Zijlstra • A. Schmidt • P. W. Wozniak
‘It Is Not Always Discovery Time’: Four Pragmatic Approaches in Designing AI Systems.
CHI 2022 - Conference on Human Factors in Computing Systems. New Orleans, LA, USA, Apr 30-May 05, 2022. DOI

[291]

M. Windl • N. Henze • A. Schmidt • S. S. Feger
Automating Contextual Privacy Policies: Design and Evaluation of a Production Tool for Digital Consumer Privacy Awareness.
CHI 2022 - Conference on Human Factors in Computing Systems. New Orleans, LA, USA, Apr 30-May 05, 2022. DOI

[290]

C. Leiber • D. Mautz • C. Plant • C. Böhm
Automatic Parameter Selection for Non-Redundant Clustering.
SDM 2022 - SIAM International Conference on Data Mining. Virtual, Apr 28-30, 2022. DOI

[289]

D. Alivanistos • M. Berrendorf • M. Cochez • M. Galkin
Query Embedding on Hyper-Relational Knowledge Graphs.
ICLR 2022 - 10th International Conference on Learning Representations. Virtual, Apr 25-29, 2022. URL GitHub

[288]

M. Galkin • M. Berrendorf • C. T. Hoyt
An Open Challenge for Inductive Link Prediction on Knowledge Graphs.
GLB @WWW 2022 - Workshop on Graph Learning Benchmarks at the International World Wide Web Conference. Virtual, Apr 22-29, 2022. arXiv GitHub

[287]

C. T. Hoyt • M. Berrendorf • M. Gaklin • V. Tresp • B. M. Gyori
A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs.
GLB @WWW 2022 - Workshop on Graph Learning Benchmarks at the International World Wide Web Conference. Virtual, Apr 22-29, 2022. arXiv

[286]

C. Brunner • A. Duensing • C. Schröder • M. Mittermair • V. Golkov • M. Pollanka • D. Cremers • R. Kienberger
Deep Learning in Attosecond Metrology.
Optics Express 30.9. Apr. 2022. Editor’s Pick. DOI

[285]

J. Herbinger • B. Bischl • G. Casalicchio
REPID: Regional Effect Plots with implicit Interaction Detection.
AISTATS 2022 - 25th International Conference on Artificial Intelligence and Statistics. Virtual, Mar 28-30, 2022. URL

[284]

F. Pargent • F. Pfisterer • J. Thomas • B. Bischl
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features.
Computational Statistics 37. Mar. 2022. DOI

[283]

D. Kazempour
Advances in correlation clustering.
Dissertation LMU München. Mar. 2022. DOI

[282]

D. Strieder • M. Drton
On the choice of the splitting ratio for the split likelihood ratio test.
Electronic Journal of Statistics 16.2. Mar. 2022. DOI

[281]

K. E. Riehm • E. Badillo Goicoechea • F. M. Wang • E. Kim • L. R. Aldridge • C. P. Lupton-Smith • R. Presskreischer • T.-H. Chang • S. LaRocca • F. Kreuter • E. A. Stuart
Association of Non-Pharmaceutical Interventions to Reduce the Spread of SARS-CoV-2 With Anxiety and Depressive Symptoms: A Multi-National Study of 43 Countries.
International Journal of Public Health 67. Mar. 2022. DOI

[280]

C. Fritz • E. Dorigatti • D. Rügamer
Combining Graph Neural Networks and Spatio-temporal Disease Models to Predict COVID-19 Cases in Germany.
Scientific Reports 12.3930. Mar. 2022. DOI

[279]

C. Sauer • M. Herrmann • C. Wiedemann • G. Casalicchio • A.-L. Boulesteix
Over-optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results.
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 12.2. Mar. 2022. DOI

[278]

A. Imani • L. K. Senel • M. J. Sabet • F. Yvon • H. Schütze
Graph Neural Networks for Multiparallel Word Alignment.
Preprint (Mar. 2022). arXiv

[277]

M. Keicher • K. Zaripova • T. Czempiel • K. Mach • A. Khakzar • N. Navab
Few-shot Structured Radiology Report Generation Using Natural Language Prompts.
Preprint (Mar. 2022). arXiv

[276]

F. Ott • D. Rügamer • L. Heublein • B. Bischl • C. Mutschler
Cross-Modal Common Representation Learning with Triplet Loss Functions.
Preprint (Mar. 2022). DOI

[275]

Y. Liu • Y. Ma • M. Hildebrandt • M. Joblin • V. Tresp
TLogic: Temporal logical rules for explainable link forecasting on temporal knowledge graphs.
AAAI 2022 - 36th Conference on Artificial Intelligence. Virtual, Feb 22-Mar 01, 2022. DOI

[274]

S. Sharifzadeh • S. M. Baharlou • M. Schmitt • H. Schütze • V. Tresp
Improving Scene Graph Classification by Exploiting Knowledge from Texts.
AAAI 2022 - 36th Conference on Artificial Intelligence. Virtual, Feb 22-Mar 01, 2022. DOI

[273]

M. Rezaei • J. J. Näppi • B. Bischl • H. Yoshida
Bayesian uncertainty estimation for detection of long-tail and unseen conditions in abdominal images.
SPIE 2022 - SPIE Medical Imaging: Computer-Aided Diagnosis. San Diego, CA, USA, Feb 20-Mar 28, 2022. DOI

[272]

M. Rezaei • J. J. Näppi • B. Bischl • H. Yoshida
Deep mutual GANs: representation learning from multiple experts.
SPIE 2022 - SPIE Medical Imaging: Imaging Informatics for Healthcare, Research, and Applications. San Diego, CA, USA, Feb 20-Mar 28, 2022. DOI

[271]

G. De Nicola • B. Sischka • G. Kauermann
Mixture Models and Networks: The Stochastic Block Model.
Statistical Modelling 22.1-2. Feb. 2022. DOI

[270]

A. Scagliotti • P. Colli Franzone
Accelerated subgradient methods.
Preprint (Feb. 2022). arXiv

[269]

M. Berrendorf
Machine learning for managing structured and semi-structured data.
Dissertation LMU München. Jan. 2022. DOI

[268]

F. Ott • D. Rügamer • L. Heublein • B. Bischl • C. Mutschler
Joint Classification and Trajectory Regression of Online Handwriting Using a Multi-Task Learning Approach.
WACV 2022 - IEEE/CVF Winter Conference on Applications of Computer Vision. Waikoloa, Hawaii, Jan 04-08, 2022. DOI

[267]

J. Goldsmith • F. Scheipl
tf: S3 classes and methods for tidy functional data. R package.
2022. GitHub

[266]

J. Goldsmith • F. Scheipl
tidyfun: Clean, wholesome, tidy fun with functional data in R. R package.
2022. GitHub

[265]

R. Valliant • J. A. Dever • F. Kreuter • G. Zipf
Package ‘PracTools’.
2022. URL

[264]

W. Hartl • P. Kopper • A. Bender • F. Scheipl • A. G. Day • G. Elke • H. Küchenhoff
Protein intake and outcome of critically ill patients: analysis of a large international database using piece-wise exponential additive mixed models.
Critical Care 26.7. Jan. 2022. DOI

[263]

C. Fritz • G. Kauermann
On the Interplay of Regional Mobility, Social Connectedness, and the Spread of COVID-19 in Germany.
Journal of the Royal Statistical Society. Series A (Statistics in Society) 185.1. Jan. 2022. DOI

[262]

A. Python • A. Bender • M. Blangiardo • J. B. Illian • Y. Lin • B. Liu • T. C. D. Lucas • S. Tan • Y. Wen • D. Svanidze • J. Yin
A downscaling approach to compare COVID-19 count data from databases aggregated at different spatial scales.
Journal of the Royal Statistical Society. Series A (Statistics in Society) 185.1. Jan. 2022. DOI

[261]

V.-L. Nguyen • M. H. Shaker • E. Hüllermeier
How to measure uncertainty in uncertainty sampling for active learning.
Machine Learning 111.1. Jan. 2022. DOI

[260]

G. Palla • H. Spitzer • M. Klein • D. S. Fischer • A. C. Schaar • L. B. Kuemmerle • S. Rybakov • I. L. Ibarra • O. Holmberg • I. Virshup • M. Lotfollahi • S. Richter • F. J. Theis
Squidpy: a scalable framework for spatial omics analysis.
Nature Methods 19. Jan. 2022. DOI

[259]

M. Lange • V. Bergen • M. Klein • M. Setty • B. Reuter • M. Bakhti • H. Lickert • M. Ansari • J. Schniering • H. B. Schiller • D. Pe’er • F. J. Theis
CellRank for directed single-cell fate mapping.
Nature Methods 19.2. Jan. 2022. DOI

[258]

E. Dorigatti • J. Goschenhofer • B. Schubert • M. Rezaei • B. Bischl
Positive-Unlabeled Learning with Uncertainty-aware Pseudo-label Selection.
Preprint (Jan. 2022). arXiv

2021

[257]

L. Qian • C. Plant • C. Böhm
Density-based Clustering for Adaptive Density Variation.
ICDM 2021 - 21st IEEE International Conference on Data Mining. Auckland, New Zealand, Dec 07-10, 2021. DOI

[256]

A. Beer • L. Stephan • T. Seidl
LUCKe- Connecting Clustering and Correlation Clustering.
Workshop @ICDM 2021 - Workshop at the 21st IEEE International Conference on Data Mining. Auckland, New Zealand, Dec 07-10, 2021. DOI

[255]

J. Busch • M. Hünemörder • J. Held • P. Kröger • T. Seidl
Implicit Hough Transform Neural Networks for Subspace Clustering.
Workshop @ICDM 2021 - Workshop at the 21st IEEE International Conference on Data Mining. Auckland, New Zealand, Dec 07-10, 2021. DOI

[254]

A. Lohrer • J. Deller • M. Hünemörder • P. Kröger
OAB - An Open Anomaly Benchmark Framework for Unsupervised and Semisupervised Anomaly Detection on Image and Tabular Data Sets.
Workshop @ICDM 2021 - Workshop at the 21st IEEE International Conference on Data Mining. Auckland, New Zealand, Dec 07-10, 2021. DOI

[253]

T. Weber • M. Ingrisch • M. Fabritius • B. Bischl • D. Rügamer
Survival-oriented embeddings for improving accessibility to complex data structures.
Bridging the Gap: from ML Research to Clinical Practice @NeurIPS 2021 - Workshop on Bridging the Gap: from Machine Learning Research to Clinical Practice at the 35th Conference on Neural Information Processing Systems. Virtual, Dec 06-14, 2021. arXiv

[252]

T. Weber • M. Ingrisch • B. Bischl • D. Rügamer
Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation.
Deep Generative Models and Downstream Applications @NeurIPS 2021 - Workshop on Deep Generative Models and Downstream Applications at the 35th Conference on Neural Information Processing Systems. Virtual, Dec 06-14, 2021. PDF

[251]

J. Moosbauer • J. Herbinger • G. Casalicchio • M. Lindauer • B. Bischl
Explaining Hyperparameter Optimization via Partial Dependence Plots.
NeurIPS 2021 - 35th Conference on Neural Information Processing Systems. Virtual, Dec 06-14, 2021. URL GitHub

[250]

Y. Zhang • A. Khakzar • Y. Li • A. Farshad • S. T. Kim • N. Navab
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information.
NeurIPS 2021 - Track on Datasets and Benchmarks at the 35th Conference on Neural Information Processing Systems. Virtual, Dec 06-14, 2021. URL

[249]

M. Mittermeier • M. Weigert • D. Rügamer
Identifying the atmospheric drivers of drought and heat using a smoothed deep learning approach.
Tackling Climate Change with ML @NeurIPS 2021 - Workshop on Tackling Climate Change with Machine Learning at the 35th Conference on Neural Information Processing Systems. Virtual, Dec 06-14, 2021. PDF

[248]

B. Bischl • G. Casalicchio • M. Feurer • P. Gijsbers • F. Hutter • M. Lang • R. G. Mantovani • J. N. van Rijn • J. Vanschoren
OpenML Benchmarking Suites.
Track on Datasets and Benchmarks @NeurIPS 2021 - Track on Datasets and Benchmarks at the 35th Conference on Neural Information Processing Systems. Virtual, Dec 06-14, 2021. URL

[247]

M. Weber • J. Xie • M. Collins • Y. Zhu • H. Adam • B. Green • A. Geiger • D. Cremers • A. Ošep • L. Leal-Taixé • P. Voigtlaender • B. Chen
STEP: Segmenting and Tracking Every Pixel.
Track on Datasets and Benchmarks @NeurIPS 2021 - Track on Datasets and Benchmarks at the 35th Conference on Neural Information Processing Systems. Virtual, Dec 06-14, 2021. PDF

[246]

L. Hetzel • D. S. Fischer • S. Günnemann • F. J. Theis
Graph representation learning for single-cell biology.
Current Opinion in Systems Biology 28.100347. Dec. 2021. DOI

[245]

S. Kevork • G. Kauermann
Iterative Estimation of Mixed Exponential Random Graph Models with Nodal Random Effects.
Network Science 9.4. Dec. 2021. DOI

[244]

M. Bernhard • M. Schubert
Correcting Imprecise Object Locations for Training Object Detectors in Remote Sensing Applications.
Remote Sensing 13. Dec. 2021. URL

[243]

Y. Elazar • N. Kassner • S. Ravfogel • A. Ravichander • E. Hovy • H. Schütze • Y. Goldberg
Measuring and Improving Consistency in Pretrained Language Models.
Transactions of the Association for Computational Linguistics 9. Dec. 2021. DOI

[242]

A. Farshad • S. Musatian • H. Dhamo • N. Navab
MIGS: Meta Image Generation from Scene Graphs.
BMVC 2021 - 32nd British Machine Vision Conference. Virtual, Nov 22-25, 2021. URL GitHub

[241]

A. Beer
On the edges of clustering: creating synergies with related problems.
Dissertation LMU München. Nov. 2021. DOI

[240]

A. Imani • M. J. Sabet • L. K. Senel • P. Dufter • F. Yvon • H. Schütze
Graph Algorithms for Multiparallel Word Alignment.
EMNLP 2021 - Conference on Empirical Methods in Natural Language Processing. Punta Cana, Dominican Republic, Nov 07-11, 2021. DOI

[239]

N. Kassner • O. Tafjord • H. Schütze • P. Clark
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief.
EMNLP 2021 - Conference on Empirical Methods in Natural Language Processing. Punta Cana, Dominican Republic, Nov 07-11, 2021. DOI

[238]

N. Kees • M. Fromm • E. Faerman • T. Seidl
Active Learning for Argument Strength Estimation.
Insights @EMNLP 2021 - 2nd Workshop on Insights from Negative Results at the Conference on Empirical Methods in Natural Language Processing. Punta Cana, Dominican Republic, Nov 07-11, 2021. DOI

[237]

C. Fritz • M. Mehrl • P. W. Thurner • G. Kauermann
The Role of Governmental Weapons Procurements in Forecasting Monthly Fatalities in Intrastate Conflicts: A Semiparametric Hierarchical Hurdle Model.
International Interactions 48.4. Nov. 2021. DOI

[236]

K. T. Schmid • B. Höllbacher • C. Cruceanu • A. Böttcher • H. Lickert • E. B. Binder • F. J. Theis • M. Heinig
scPower accelerates and optimizes the design of multi-sample single cell transcriptomic studies.
Nature Communications 12.6625. Nov. 2021. DOI

[235]

S. Hilbert • S. Coors • E. Kraus • B. Bischl • A. Lindl • M. Frei • J. Wild • S. Krauss • D. Goretzko • C. Stachl
Machine learning for the educational sciences.
Review of Education 9.3. Nov. 2021. DOI

[234]

M. Herrmann • F. Scheipl
A Geometric Perspective on Functional Outlier Detection.
Stats 4.4. Nov. 2021. DOI

[233]

M. Ali • M. Berrendorf • M. Galkin • V. Thost • T. Ma • V. Tresp • J. Lehmann
Improving Inductive Link Prediction Using Hyper-Relational Facts.
ISWC 2021 - 20th International Semantic Web Conference. Virtual, Oct 24-28, 2021. Best Paper Award. DOI GitHub

[232]

G. Brasó • N. Kister • L. Leal-Taixé
The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation.
ICCV 2021 - IEEE/CVF International Conference on Computer Vision. Virtual, Oct 11-17, 2021. DOI GitHub

[231]

S. Garg • H. Dhamo • A. Farshad • S. Musatian • N. Navab • F. Tombari
Unconditional Scene Graph Generation.
ICCV 2021 - IEEE/CVF International Conference on Computer Vision. Virtual, Oct 11-17, 2021. DOI

[230]

A. Khakzar • S. Musatian • J. Buchberger • I. V. Quiroz • N. Pinger • S. Baselizadeh • S. T. Kim • N. Navab
Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models.
MICCAI 2021 - 24th International Conference on Medical Image Computing and Computer Assisted Intervention. Strasbourg, France, Sep 27-Oct 01, 2021. DOI GitHub

[229]

A. Khakzar • Y. Zhang • W. Mansour • Y. Cai • Y. Li • Y. Zhang • S. T. Kim • N. Navab
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features.
MICCAI 2021 - 24th International Conference on Medical Image Computing and Computer Assisted Intervention. Strasbourg, France, Sep 27-Oct 01, 2021. DOI GitHub

[228]

D. Kazempour • A. Beer • M. Oelker • P. Kröger • T. Seidl
Compound Segmentation via Clustering on Mol2Vec-based Embeddings.
eScience 2021 - 17th IEEE eScience Conference. Virtual, Sep 20-23, 2021. DOI

[227]

S. Coors • D. Schalk • B. Bischl • D. Rügamer
Automatic Componentwise Boosting: An Interpretable AutoML System.
ADS @ECML-PKDD 2021 - Automating Data Science Workshop at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Virtual, Sep 13-17, 2021. arXiv

[226]

S. Gilhuber • A. Beer • F. Wahl • T. Seidl
Cluster Flow — an Advanced Concept for Ensemble-Enabling, Interactive Clustering.
BTW 2021 - 19th Symposium of Database Systems for Business, Technology and Web. Dresden, Germany, Sep 13-17, 2021. DOI

[225]

J. Liu • I. Chiotellis • R. Triebel • D. Cremers
Effective Version Space Reduction for Convolutional Neural Networks.
ECML-PKDD 2021 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Virtual, Sep 13-17, 2021. DOI

[224]

R. Sonabend • F. J. Király • A. Bender • B. Bischl • M. Lang
mlr3proba: An R Package for Machine Learning in Survival Analysis.
Bioinformatics 37.17. Sep. 2021. DOI

[223]

D. Kazempour • J. Winter • P. Kröger • T. Seidl
On Methods and Measures for the Inspection of Arbitrarily Oriented Subspace Clusters.
Datenbank-Spektrum 21. Sep. 2021. DOI

[222]

T. Seidl • M. Fromm • S. Gilhuber
Proceedings of the LWDA 2021 Workshops: FGWM, KDML, FGWI-BIA, and FGIR.
LWDA 2021 - Lernen, Wissen, Daten, Analysen 2021. Sep. 2021. URL

[221]

A. Lohrer • A. Beer • M. Hünemörder • J. Lauterbach • T. Seidl • P. Kröger
AnyCORE - An Anytime Algorithm for Cluster Outlier REmoval.
LWDA 2021 - Conference on Lernen. Wissen. Daten. Analysen. München, Germany, Sep 01-03, 2021. PDF

[220]

C. Fritz • P. W. Thurner • G. Kauermann
Separable and Semiparametric Network-based Counting Processes applied to the International Combat Aircraft Trades.
Network Science 9.3. Sep. 2021. DOI

[219]

M. Mozes • M. Schmitt • V. Golkov • H. Schütze • D. Cremers
Scene Graph Generation for Better Image Captioning?
Preprint (Sep. 2021). arXiv

[218]

F. Soleymani • M. Eslami • T. Elze • B. Bischl • M. Rezaei
Deep Variational Clustering Framework for Self-labeling of Large-scale Medical Images.
Preprint (Sep. 2021). arXiv GitHub

[217]

V. Golkov
Deep learning and variational analysis for high-dimensional and geometric biomedical data.
Dissertation TU München. Aug. 2021. URL

[216]

L. Miklautz • L. G. M. Bauer • D. Mautz • S. Tschiatschek • C. Böhm • C. Plant
Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces.
IJCAI 2021 - 30th International Joint Conference on Artificial Intelligence. Montreal, Canada, Aug 19-26, 2021. DOI

[215]

C. Leiber • L. G. M. Bauer • B. Schelling • C. Böhm • C. Plant
Dip-based Deep Embedded Clustering with k-Estimation.
KDD 2021 - 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Singapore, Aug 14-18, 2021. DOI

[214]

B. Busam
High Performance Visual Pose Computation.
Dissertation TU München. Aug. 2021. URL

[213]

A. Imani • M. J. Sabet • P. Dufter • M. Cysouw • H. Schütze
ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus.
ACL-IJCNLP 2021 - Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing. Bangkok, Thailand, Aug 01-06, 2021. DOI

[212]

C. M. Verdun • T. Fuchs • P. Harar • D. Elbrächter • D. S. Fischer • J. Berner • P. Grohs • F. J. Theis • F. Krahmer
Group Testing for SARS-CoV-2 Allows for Up to 10-Fold Efficiency Increase Across Realistic Scenarios and Testing Strategies.
Frontiers in Public Health 9. Aug. 2021. DOI

[211]

D. S. Fischer • L. Dony • M. König • A. Moeed • L. Zappia • L. Heumos • S. Tritschler • O. Holmberg • H. Aliee • F. J. Theis
Sfaira accelerates data and model reuse in single cell genomics.
Genome Biology 22.248. Aug. 2021. DOI

[210]

M. P. Fabritius • M. Seidensticker • J. Rueckel • C. Heinze • M. Pech • K. J. Paprottka • P. M. Paprottka • J. Topalis • A. Bender • J. Ricke • A. Mittermeier • M. Ingrisch
Bi-Centric Independent Validation of Outcome Prediction after Radioembolization of Primary and Secondary Liver Cancer.
Journal of Clinical Medicine 10.16. Aug. 2021. DOI

[209]

V. Bergen • R. A. Soldatov • P. V. Kharchenko • F. J. Theis
RNA velocity—current challenges and future perspectives.
Molecular Systems Biology 17.e10282. Aug. 2021. DOI

[208]

H. Seibold • A. Charlton • A.-L. Boulesteix • S. Hoffmann
Statisticians, Roll Up Your Sleeves! There's A Crisis to be Solved.
Significance 18.4. Aug. 2021. DOI

[207]

F. Pfisterer • C. Kern • S. Dandl • M. Sun • M. P. Kim • B. Bischl
mcboost: Multi-Calibration Boosting for R.
The Journal of Open Source Software 6.64. Aug. 2021. DOI

[206]

A. Bauer • F. Scheipl • H. Küchenhoff
Registration for Incomplete Non-Gaussian Functional Data.
Preprint (Aug. 2021). arXiv

[205]

Y. Wang • Y. Shen • D. Cremers
Explicit pairwise factorized graph neural network for semi-supervised node classification.
UAI 2021 - Conference on Uncertainty in Artificial Intelligence. Virtual, Jul 27-29, 2021. URL

[204]

G. König • T. Freiesleben • M. Grosse-Wentrup
A causal perspective on meaningful and robust algorithmic recourse.
Algorithmic Recourse @ICML 2021 - Workshop on Algorithmic Recourse at the 38th International Conference on Machine Learning. Virtual, Jul 18-24, 2021. URL

[203]

J. Moosbauer • J. Herbinger • G. Casalicchio • M. Lindauer • B. Bischl
Towards Explaining Hyperparameter Optimization via Partial Dependence Plots.
AutoML @ICML 2021 - 8th Workshop on Automated Machine Learning at the 38th International Conference on Machine Learning. Virtual, Jul 18-24, 2021. URL

[202]

M. Biloš • S. Günnemann
Scalable Normalizing Flows for Permutation Invariant Densities.
ICML 2021 - 38th International Conference on Machine Learning. Virtual, Jul 18-24, 2021. URL

[201]

T. Frerix • D. Kochkov • J. Smith • D. Cremers • M. Brenner • S. Hoyer
Variational Data Assimilation with a Learned Inverse Observation Operator.
ICML 2021 - 38th International Conference on Machine Learning. Virtual, Jul 18-24, 2021. Spotlight Presentation. URL

[200]

P. Gijsbers • F. Pfisterer • J. N. van Rijn • B. Bischl • J. Vanschoren
Meta-Learning for Symbolic Hyperparameter Defaults.
GECCO 2021 - Genetic and Evolutionary Computation Conference. Lile, France, Jul 10-14, 2021. DOI

[199]

F. Pfisterer • J. N. van Rijn • P. Probst • A. C. Müller • B. Bischl
Learning Multiple Defaults for Machine Learning Algorithms.
GECCO 2021 - Genetic and Evolutionary Computation Conference. Lile, France, Jul 10-14, 2021. DOI

[198]

D. S. Fischer • M. Ansari • K. I. Wagner • S. Jarosch • Y. • C. H. Mayr • M. Lang • E. D’Ippolito • M. Hammel • L. Mateyka • S. Weber • L. S. Wolff • K. Witter • I. E. Fernandez • G. Leuschner • K. Milger • M. Frankenberger • L. Nowak • K. Heinig-Menhard • I. Koch • M. G. Stoleriu • A. Hilgendorff • J. Behr • A. Pichlmair • B. Schubert • F. J. Theis • D. H. Busch • H. B. Schiller • K. Schober
Single-cell RNA sequencing reveals ex vivo signatures of SARS-CoV-2-reactive T cells through ‘reverse phenotyping’.
Nature Communications 12.1. Jul. 2021. DOI

[197]

A. Python • A. Bender • A. K. Nandi • P. A. Hancock • R. Arambepola • J. Brandsch • T. C. D. Lucas
Predicting non-state terrorism worldwide.
Science Advances 7.31. Jul. 2021. DOI

[196]

M. Aygun • A. Ošep • M. Weber • M. Maximov • C. Stachniss • J. Behley • L. Leal-Taixé
4D Panoptic LiDAR Segmentation.
CVPR 2021 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Virtual, Jun 19-25, 2021. DOI GitHub

[195]

M. Eisenberger • D. Novotny • G. Kerchenbaum • P. Labatut • N. Neverova • D. Cremers • A. Vedaldi
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go.
CVPR 2021 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Virtual, Jun 19-25, 2021. DOI GitHub

[194]

M. Gao • Z. Lähner • J. Thunberg • D. Cremers • F. Bernard
Isometric Multi-Shape Matching.
CVPR 2021 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Virtual, Jun 19-25, 2021. DOI GitHub

[193]

A. Khakzar • S. Baselizadeh • S. Khanduja • C. Rupprecht • S. T. Kim • N. Navab
Neural Response Interpretation through the Lens of Critical Pathways.
CVPR 2021 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Virtual, Jun 19-25, 2021. DOI

[192]

C. Tomani • S. Gruber • M. E. Erdem • D. Cremers • F. Buettner
Post-hoc Uncertainty Calibration for Domain Drift Scenarios.
CVPR 2021 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Virtual, Jun 19-25, 2021. DOI

[191]

T. Yenamandra • A. Tewari • F. Bernard • H.-P. Seidel • M. Elgharib • D. Cremers
i3DMM: Deep Implicit 3D Morphable Model of Human Heads.
CVPR 2021 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Virtual, Jun 19-25, 2021. DOI

[190]

N. Strauß • L. Rottkamp • S. Schmoll • M. Schubert
Efficient Parking Search using Shared Fleet Data.
MDM 2021 - 22nd IEEE International Conference on Mobile Data Management. Virtual, Jun 15-18, 2021. DOI

[189]

P. Dufter • N. Kassner • H. Schütze
Static Embeddings as Efficient Knowledge Bases?
NAACL 2021 - Annual Conference of the North American Chapter of the Association for Computational Linguistics. Virtual, Jun 06-11, 2021. DOI

[188]

A. M. Keppler • K. Küßner • A.-L. Schulze • E. M. Suero • C. Neuerburg • M. Weigert • C. Braun • W. Böcker • C. Kammerlander • C. Zeckey
Radiographic cortical thickness parameters as predictors of rotational alignment in proximal tibial shaft fractures: a cadaveric study.
BMC Musculoskeletal Disorders 22.590. Jun. 2021. DOI

[187]

Y. Ji • M. Lotfollahi • F. A. Wolf • F. J. Theis
Machine learning for perturbational single-cell omics.
Cell Systems 12.6. Jun. 2021. DOI GitHub

[186]

M. Binder • F. Pfisterer • M. Lang • L. Schneider • L. Kotthoff • B. Bischl
mlr3pipelines - Flexible Machine Learning Pipelines in R.
Journal of Machine Learning Research 22.184. Jun. 2021. URL

[185]

H. Seibold • S. Czerny • S. Decke • R. Dieterle • T. Eder • S. Fohr • N. Hahn • R. Hartmann • C. Heindl • P. Kopper • D. Lepke • V. Loidl • M. M. Mandl • S. Musiol • J. Peter • A. Piehler • E. Rojas • S. Schmid • H. Schmidt • M. Schmoll • L. Schneider • X.-Y. To • V. Tran • A. Völker • M. Wagner • J. Wagner • M. Waize • H. Wecker • R. Yang • S. Zellner • M. Nalenz
A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses.
PLOS One 16.6. Jun. 2021. DOI

[184]

D. S. Fischer • A. C. Schaar • F. J. Theis
Learning cell communication from spatial graphs of cells.
Preprint (Jun. 2021). DOI

[183]

G. König • T. Freiesleben • B. Bischl • G. Casalicchio • M. Grosse-Wentrup
Decomposition of Global Feature Importance into Direct and Associative Components (DEDACT).
Preprint (Jun. 2021). arXiv

[182]

M. Gladkova • R. Wang • N. Zeller • D. Cremers
Tight Integration of Feature-based Relocalization in Monocular Direct Visual Odometry.
ICRA 2021 - IEEE International Conference on Robotics and Automation. Xi’an, China, May 30-Jun 05, 2021. DOI

[181]

P. Wenzel • T. Schön • L. Leal-Taixé • D. Cremers
Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning.
ICRA 2021 - IEEE International Conference on Robotics and Automation. Xi’an, China, May 30-Jun 05, 2021. DOI

[180]

P. Müller • V. Golkov • V. Tomassini • D. Cremers
Rotation-Equivariant Deep Learning for Diffusion MRI (short version).
ISMRM 2021 - International Society for Magnetic Resonance in Medicine Annual Meeting. Virtual, May 15-20, 2021. Long version in arXiv. arXiv

[179]

J. Schuchardt • A. Bojchevski • J. Gasteiger • S. Günnemann
Collective Robustness Certificates - Exploiting Interdependence in Graph Neural Networks.
ICLR 2021 - 9th International Conference on Learning Representations. Virtual, May 03-07, 2021. URL

[178]

M. Lotfollahi • A. K. Susmelj • C. De Donno • Y. Ji • I. L. Ibarra • F. A. Wolf • N. Yakubova • F. J. Theis • D. Lopez-Paz
Compositional perturbation autoencoder for single-cell response modeling.
Preprint (May. 2021). DOI

[177]

E. Faerman
Representation learning on relational data.
Dissertation LMU München. Apr. 2021. DOI

[176]

N. Kassner • P. Dufter • H. Schütze
Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models.
EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics. Virtual, Apr 19-23, 2021. DOI

[175]

Y. Ma • V. Tresp
Causal Inference under Networked Interference and Intervention Policy Enhancement.
AISTATS 2021 - 24th International Conference on Artificial Intelligence and Statistics. Virtual, Apr 13-15, 2021. URL

[174]

I. Gerostathopoulos • F. Plášil • C. Prehofer • J. Thomas • B. Bischl
Automated Online Experiment-Driven Adaptation--Mechanics and Cost Aspects.
IEEE Access 9. Apr. 2021. DOI

[173]

[172]

M. Berrendorf • E. Faerman • V. Tresp
Active Learning for Entity Alignment.
ECIR 2021 - 43rd European Conference on Information Retrieval. Virtual, Mar 28-Apr 01, 2021. DOI GitHub

[171]

M. Berrendorf • L. Wacker • E. Faerman
A Critical Assessment of State-of-the-Art in Entity Alignment.
ECIR 2021 - 43rd European Conference on Information Retrieval. Virtual, Mar 28-Apr 01, 2021. DOI GitHub

[170]

M. Fromm • M. Berrendorf • S. Gilhuber • T. Seidl • E. Faerman
Diversity Aware Relevance Learning for Argument Search.
ECIR 2021 - 43rd European Conference on Information Retrieval. Virtual, Mar 28-Apr 01, 2021. DOI GitHub

[169]

A. Beer • E. Allerborn • V. Hartmann • T. Seidl
KISS - A fast kNN-based Importance Score for Subspaces.
EDBT 2021 - 24th International Conference on Extending Database Technology. Nicosia, Cyprus, Mar 23-26, 2021. PDF

[168]

P. Kopper • S. Pölsterl • C. Wachinger • B. Bischl • A. Bender • D. Rügamer
Semi-Structured Deep Piecewise Exponential Models.
AAAI-SPACA 2021 - AAAI Spring Symposium Series on Survival Prediction: Algorithms, Challenges and Applications. Palo Alto, California, USA, Mar 21-24, 2021. PDF

[167]

M. Ali • M. Berrendorf • C. T. Hoyt • L. Vermue • S. Sharifzadeh • V. Tresp • J. Lehmann
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings.
Journal of Machine Learning Research 22.82. Mar. 2021. PDF

[166]

M. Fromm • E. Faerman • M. Berrendorf • S. Bhargava • R. Qi • Y. Zhang • L. Dennert • S. Selle • Y. Mao • T. Seidl
Argument Mining Driven Analysis of Peer-Reviews.
AAAI 2021 - 35th Conference on Artificial Intelligence. Virtual, Feb 02-09, 2021. DOI GitHub

[165]

S. Sharifzadeh • S. M. Baharlou • V. Tresp
Classification by Attention: Scene Graph Classification with Prior Knowledge.
AAAI 2021 - 35th Conference on Artificial Intelligence. Virtual, Feb 02-09, 2021. DOI

[164]

S. Klau • S. Hoffmann • C. J. Patel • J. P. A. Ioannidis • A.-L. Boulesteix
Examining the robustness of observational associations to model, measurement and sampling uncertainty with the vibration of effects framework.
International Journal of Epidemiology 50.1. Feb. 2021. DOI

[163]

F. Meier • N. D. Köhler • A.-D. Brunner • J.-M. H. Wanka • E. Voytik • M. T. Strauss • F. J. Theis • M. Mann
Deep learning the collisional cross sections of the peptide universe from a million experimental values.
Nature Communications 12.1185. Feb. 2021. DOI

[162]

J. Goschenhofer • R. Hvingelby • D. Rügamer • J. Thomas • M. Wagner • B. Bischl
Deep Semi-Supervised Learning for Time Series Classification.
Preprint (Feb. 2021). arXiv

[161]

G. König • C. Molnar • B. Bischl • M. Grosse-Wentrup
Relative Feature Importance.
ICPR 2020 - 25th International Conference on Pattern Recognition. Virtual - Milano, Italy, Jan 10-15, 2021. DOI

[160]

S. Schmoll • M. Schubert
Semi-Markov Reinforcement Learning for Stochastic Resource Collection.
IJCAI 2020 - 29th International Joint Conference on Artificial Intelligence. Yokohama, Japan (postponed due to the Corona pandemic), Jan 07-15, 2021. DOI

[159]

M. Becker • S. Gruber • J. Richter • J. Moosbauer • B. Bischl
mlr3hyperband: Hyperband for 'mlr3'.
2021. URL GitHub

[158]

M. Becker • M. Lang • J. Richter • B. Bischl • D. Schalk
mlr3tuning: Tuning for 'mlr3'.
2021. URL GitHub

[157]

M. Becker • J. Richter • M. Lang • B. Bischl • M. Binder
bbotk: Black-Box Optimization Toolkit.
2021. URL GitHub

[156]

M. Binder
mlrintermbo: Model-Based Optimization for 'mlr3' through 'mlrMBO'.
2021. URL GitHub

[155]

M. Lang
mlr3measures: Performance Measures for 'mlr3'.
2021. URL

[154]

M. Lang • B. Bischl • J. Richter • X. Sun • M. Binder
paradox: Define and Work with Parameter Spaces for Complex Algorithms.
2021. URL GitHub

[153]

D. Rügamer • F. Pfisterer • P. Baumann
deepregression: Fitting Semi-Structured Deep Distributional Regression in R.
2021. URL

[152]

P. Schratz • M. Becker
mlr3spatiotempcv: Spatiotemporal Resampling Methods for 'mlr3'.
2021. URL

[151]

J. P. Lopez • E. Brivio • A. Santambrogio • C. De Donno • A. Kos • M. Peters • N. Rost • D. Czamara • T. M. Brückl • S. Roeh • M. L. Pöhlmann • C. Engelhardt • A. Ressle • R. Stoffel • A. Tontsch • J. M. Villamizar • M. Reincke • A. Riester • S. Sbiera • M. Fassnacht • H. S. Mayberg • W. E. Craighead • B. W. Dunlop • C. B. Nemeroff • M. V. Schmidt • E. B. Binder • F. J. Theis • F. Beuschlein • C. L. Andoniadou • A. Chen
Single-cell molecular profiling of all three components of the HPA axis reveals adrenal ABCB1 as a regulator of stress adaptation.
Science Advances 7.5. Jan. 2021. DOI

[150]

M. Weigert • A. Bauer • J. Karl • A. Nalmpatian • H. Küchenhoff • J. Schmude
Semiparametric APC analysis of destination choice patterns: Using generalized additive models to quantify the impact of age, period, and cohort on travel distances.
Tourism Economics 28.5. Jan. 2021. DOI

2020

[149]

M. Berrendorf • E. Faerman • L. Vermue • V. Tresp
Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank.
WI-IAT 2020 - IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology. Virtual, Dec 14-17, 2020. DOI

[148]

E. Faerman • F. Borutta • J. Busch • M. Schubert
Ada-LLD: Adaptive Node Similarity Using Multi-Scale Local Label Distributions.
WI-IAT 2020 - IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology. Virtual, Dec 14-17, 2020. DOI GitHub

[147]

S. Gilhuber • M. Berrendorf • P. Kröger
Memory-Efficient RkNN Retrieval by Nonlinear k-Distance Approximation.
WI-IAT 2020 - IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology. Virtual, Dec 14-17, 2020. DOI

[146]

C. Böhm • C. Plant
Massively Parallel Graph Drawing and Representation Learning.
IEEE BigData 2020 - IEEE International Conference on Big Data. Virtual, Dec 10-13, 2020. DOI

[145]

C. Böhm • C. Plant
Massively Parallel Random Number Generation.
IEEE BigData 2020 - IEEE International Conference on Big Data. Virtual, Dec 10-13, 2020. DOI

[144]

M. Perdacher • C. Plant • C. Böhm
Improved Data Locality Using Morton-order Curve on the Example of LU Decomposition.
IEEE BigData 2020 - IEEE International Conference on Big Data. Virtual, Dec 10-13, 2020. DOI

[143]

S. Geisler • D. Zügner • S. Günnemann
Reliable Graph Neural Networks via Robust Aggregation.
NeurIPS 2020 - 34th Conference on Neural Information Processing Systems. Virtual, Dec 06-12, 2020. URL

[142]

O. Shchur • N. Gao • M. Biloš • S. Günnemann
Fast and Flexible Temporal Point Processes with Triangular Maps.
NeurIPS 2020 - 34th Conference on Neural Information Processing Systems. Virtual, Dec 06-12, 2020. URL

[141]

Y. Ma • V. Tresp
A Variational Quantum Circuit Model for Knowledge Graph Embeddings.
QTNML @NeurIPS 2020 - 1st Workshop on Quantum Tensor Networks in Machine Learning at the 34th Conference on Neural Information Processing Systems. Virtual, Dec 06-12, 2020. PDF

[140]

J. Busch • E. Faerman • M. Schubert • T. Seidl
Learning Self-Expression Metrics for Scalable and Inductive Subspace Clustering.
SSL @NeurIPS 2020 - Workshop on Self-Supervised Learning - Theory and Practice at the 34th Conference on Neural Information Processing Systems. Virtual, Dec 06-12, 2020. arXiv GitHub

[139]

M. Berrendorf • E. Faerman
mberr/ea-active-learning: Zenodo. Version 1.0.1.
2020. DOI

[138]

M. Berrendorf • L. Wacker • E. Faerman
mberr/ea-sota-comparison: Zenodo. Version v1.1.1.
2020. DOI

[137]

M. Lotfollahi • M. Naghipourfar • F. J. Theis • F. A. Wolf
Conditional out-of-distribution generation for unpaired data using transfer VAE.
Bioinformatics 36.Supplement 2. Dec. 2020. DOI

[136]

N.-K. Chlis • A. Karlas • N.-A. Fasoula • M. Kallmayer • H.-H. Eckstein • F. J. Theis • V. Ntziachristos • C. Marr
A sparse deep learning approach for automatic segmentation of human vasculature in multispectral optoacoustic tomography.
Photoacoustics 20.100203. Dec. 2020. DOI

[135]

E. Asgari • M. J. Sabet • P. Dufter • C. Ringlstetter • H. Schütze
Subword Sampling for Low Resource Word Alignment.
Preprint (Dec. 2020). arXiv

[134]

M. Herrmann • F. Scheipl
Unsupervised Functional Data Analysis via Nonlinear Dimension Reduction.
Preprint (Dec. 2020). arXiv

[133]

Y. Zhang • Y. Lu • T. Seidl
KNNAC: An Efficient k Nearest Neighbor Based Clustering with Active Core Detection.
iiWAS 2020 - 22nd International Conference on Information Integration and Web-based Applications and Services. Chiang Mai, Thailand, Nov 30-Dec 02, 2020. DOI

[132]

V. Golkov • M. J. Skwark • A. Mirchev • G. Dikov • A. R. Geanes • J. Mendenhall • J. Meiler • D. Cremers
3D Deep Learning for Biological Function Prediction from Physical Fields.
3DV 2020 - 8th International Conference on 3D Vision. Virtual, Nov 25-28, 2020. DOI

[131]

N. Kassner • B. Krojer • H. Schütze
Are Pretrained Language Models Symbolic Reasoners over Knowledge?
CoNLL 2020 - 24th Conference on Computational Natural Language Learning. Virtual, Nov 19-20, 2020. DOI

[130]

D. Kazempour • A. Beer • P. Kröger • T. Seidl
I fold you so! An internal evaluation measure for arbitrary oriented subspace clustering through piecewise-linear approximations of manifolds.
Workshop @ICDM 2020 - Workshop at the 20th IEEE International Conference on Data Mining. Sorrento, Italy, Nov 17-20, 2020. DOI

[129]

D. Kazempour • P. Kröger • T. Seidl
Towards an Internal Evaluation Measure for Arbitrarily Oriented Subspace Clustering.
Workshop @ICDM 2020 - Workshop at the 20th IEEE International Conference on Data Mining. Sorrento, Italy, Nov 17-20, 2020. DOI

[128]

D. Kazempour • L. M. Yan • P. Kröger • T. Seidl
You see a set of wagons - I see one train: Towards a unified view of local and global arbitrarily oriented subspace clusters.
Workshop @ICDM 2020 - Workshop at the 20th IEEE International Conference on Data Mining. Sorrento, Italy, Nov 17-20, 2020. DOI

[127]

N. Kassner • H. Schütze
BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QA.
Findings @EMNLP 2020 - Findings of the Conference on Empirical Methods in Natural Language Processing. Virtual, Nov 16-20, 2020. DOI

[126]

M. J. Sabet • P. Dufter • F. Yvon • H. Schütze
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings.
Findings @EMNLP 2020 - Findings of the Conference on Empirical Methods in Natural Language Processing. Virtual, Nov 16-20, 2020. DOI

[125]

N.-K. Chlis • L. Rausch • T. Brocker • J. Kranich • F. J. Theis
Predicting single-cell gene expression profiles of imaging flow cytometry data with machine learning.
Nucleic Acids Research 48.20. Nov. 2020. DOI

[124]

A. Agrawal • F. Pfisterer • B. Bischl • F. Buet-Golfouse • S. Sood • J. Chen • S. Shah • S. Vollmer
Debiasing classifiers: is reality at variance with expectation?
Preprint (Nov. 2020). arXiv

[123]

V. Melnychuk • E. Faerman • I. Manakov • T. Seidl
Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels.
Workshop @CIKM 2020 - Workshop at the 29th ACM International Conference on Information and Knowledge Management. Galway, Ireland, Oct 19-23, 2020. PDF GitHub

[122]

Y. Ma • Z. Han • V. Tresp
Learning with Temporal Knowledge Graphs.
Workshop @CIKM 2020 - Workshop at the 29th ACM International Conference on Information and Knowledge Management. Galway, Ireland, Oct 19-23, 2020. Invited talk. PDF

[121]

S. Denner • A. Khakzar • M. Sajid • M. Saleh • Z. Spiclin • S. T. Kim • N. Navab
Spatio-temporal learning from longitudinal data for multiple sclerosis lesion segmentation.
BrainLes @MICCAI 2020 - Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries at the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention. Virtual, Oct 04-08, 2020. DOI GitHub

[120]

Y. Yeganeh • A. Farshad • N. Navab • S. Albarqouni
Inverse Distance Aggregation for Federated Learning with Non-IID Data.
DART DCL @MICCAI 2020 - Workshop on Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning at the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention. Virtual, Oct 04-08, 2020. DOI

[119]

T. Seidl
Keynote: Data Mining on Process Data.
ICPM 2020 - 2nd International Conference on Process Mining. Virtual, Oct 04-09, 2020. DOI

[118]

A. Maldonado • J. Sontheim • F. Richter • T. Seidl
Performance Skyline: Inferring Process Performance Models from Interval Events.
SA4PM @ICPM 2020 - 1st International Workshop on Streaming Analytics for Process Mining at the 2nd International Conference on Process Mining. Virtual, Oct 04-09, 2020. DOI

[117]

A.-L. Boulesteix • S. Hoffmann • A. Charlton • H. Seibold
A replication crisis in methodological research?
Significance 17.5. Oct. 2020. DOI

[116]

P. F. M. Baumann • T. Hothorn • D. Rügamer
Deep Conditional Transformation Models.
Preprint (Oct. 2020). arXiv

[115]

G. Fabbro • V. Golkov • T. Kemp • D. Cremers
Speech Synthesis and Control Using Differentiable DSP.
Preprint (Oct. 2020). arXiv

[114]

D. Rügamer • F. Pfisterer • B. Bischl
Neural Mixture Distributional Regression.
Preprint (Oct. 2020). arXiv

[113]

A. Beer • D. Seeholzer • N. S. Schüler • T. Seidl
Angle-Based Clustering.
SISAP 2020 - 13th International Conference on Similarity Search and Applications. Virtual, Sep 30-Oct 02, 2020. DOI

[112]

Y. Ma
Learning with relational knowledge in the context of cognition, quantum computing, and causality.
Dissertation LMU München. Sep. 2020. DOI

[111]

A. Bender • D. Rügamer • F. Scheipl • B. Bischl
A General Machine Learning Framework for Survival Analysis.
ECML-PKDD 2020 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Virtual, Sep 14-18, 2020. DOI

[110]

C. Molnar • G. Casalicchio • B. Bischl
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges.
Workshops @ECML-PKDD 2020 - Workshops at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Virtual, Sep 14-18, 2020. DOI

[109]

A. Beer • D. Kazempour • J. Busch • A. Tekles • T. Seidl
Grace - Limiting the Number of Grid Cells for Clustering High-Dimensional Data.
LWDA 2020 - Conference on Lernen. Wissen. Daten. Analysen. Bonn, Germany, Sep 09-11, 2020. PDF

[108]

S. Dandl • C. Molnar • M. Binder • B. Bischl
Multi-Objective Counterfactual Explanations.
PPSN 2020 - 16th International Conference on Parallel Problem Solving from Nature. Leiden, Netherlands, Sep 05-09, 2020. DOI

[107]

C. Plant • S. Biedermann • C. Böhm
Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning.
KDD 2020 - 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. San Diego, California, USA, Aug 23-27, 2020. DOI

[106]

D. Zügner • S. Günnemann
Certifiable Robustness of Graph Convolutional Networks under Structure Perturbation.
KDD 2020 - 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. San Diego, California, USA, Aug 23-27, 2020. DOI

[105]

M. Herrmann • P. Probst • R. Hornung • V. Jurinovic • A.-L. Boulesteix
Large-scale benchmark study of survival prediction methods using multi-omics data.
Briefings in Bioinformatics. Aug. 2020. DOI

[104]

D. S. Fischer • Y. Wu • B. Schubert • F. J. Theis
Predicting antigen specificity of single T cells based on TCR CDR3 regions.
Molecular Systems Biology 16.8. Aug. 2020. DOI

[103]

V. Bergen • M. Lange • S. Peidli • F. A. Wolf • F. J. Theis
Generalizing RNA velocity to transient cell states through dynamical modeling.
Nature Biotechnology 38. Aug. 2020. DOI

[102]

C. Fritz • M. Lebacher • G. Kauermann
Tempus volat, hora fugit: A survey of tie-oriented dynamic network models in discrete and continuous time.
Statistica Neerlandica 74.3. Aug. 2020. DOI

[101]

C. Böhm
Space-filling Curves for High-performance Data Mining.
Preprint (Aug. 2020). arXiv

[100]

M. Binder • F. Pfisterer • B. Bischl
Collecting empirical data about hyperparameters for data driven AutoML.
AutoML @ICML 2020 - 7th Workshop on Automated Machine Learning at the 37th International Conference on Machine Learning. Virtual, Jul 18, 2020. PDF

[99]

C. Molnar • G. König • J. Herbinger • T. Freiesleben • S. Dandl • C. A. Scholbeck • G. Casalicchio • M. Grosse-Wentrup • B. Bischl
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models.
XXAI @ICML 2020 - Workshop on Extending Explainable AI Beyond Deep Models and Classifiers at the 37th International Conference on Machine Learning. Virtual, Jul 12-18, 2020. DOI

[98]

M. Binder • J. Moosbauer • J. Thomas • B. Bischl
Multi-Objective Hyperparameter Tuning and Feature Selection Using Filter Ensembles.
GECCO 2020 - Genetic and Evolutionary Computation Conference. Cancun, Mexico, Jul 08-12, 2020. DOI

[97]

A. Beer • V. Hartmann • T. Seidl
Orderings of Data - more than a Tripping Hazard.
SSDBM 2020 - 32nd International Conference on Scientific and Statistical Database Management. Vienna, Austria, Jul 07-09, 2020. DOI

[96]

N. Kassner • H. Schütze
Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly.
ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics. Virtual, Jul 05-10, 2020. DOI

[95]

D. Mautz • C. Plant • C. Böhm
DeepECT: The Deep Embedded Cluster Tree.
Data Science and Engineering 5. Jul. 2020. DOI

[94]

N. Ellenbach • A.-L. Boulesteix • B. Bischl • K. Unger • R. Hornung
Improved outcome prediction across data sources through robust parameter tuning.
Journal of Classification 38. Jul. 2020. DOI

[93]

J. Kranich • N.-K. Chlis • L. Rausch • A. Latha • M. Schifferer • T. Kurz • A. F.-A. Kia • M. Simons • F. J. Theis • T. Brocker
In vivo identification of apoptotic and extracellular vesicle-bound live cells using image-based deep learning.
Journal of Extracellular Vesicles 9.1. Jul. 2020. DOI

[92]

C. Stachl • Q. Au • R. Schoedel • S. D. Gosling • G. M. Harari • D. Buschek • S. T. Völkel • T. Schuwerk • M. Oldemeier • T. Ullmann • H. Hussmann • B. Bischl • M. Bühner
Predicting personality from patterns of behavior collected with smartphones.
Proceedings of the National Academy of Sciences 117.30. Jul. 2020. DOI

[91]

M. Lotfollahi • M. Naghipourfar • M. D. Luecken • M. Khajavi • M. Büttner • Z. Avsec • A. V. Misharin • F. J. Theis
Query to reference single-cell integration with transfer learning.
Preprint (Jul. 2020). DOI

[90]

S. Friedl • S. Schmoll • F. Borutta • M. Schubert
SMART-Env.
MDM 2020 - 21st IEEE International Conference on Mobile Data Management. Versailles, France, Jun 30-Jul 03, 2020. DOI

[89]

F. Wimbauer • N. Yang • L. von Stumberg • N. Zeller • D. Cremers
MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera.
CVPR 2020 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Virtual, Jun 14-19, 2020. DOI GitHub

[88]

M. Ali • C. T. Hoyt • L. Vermue • M. Galkin • M. Berrendorf
pykeen/benchmarking. Version v1.0.
2020. DOI

[87]

D. Mautz • W. Ye • C. Plant • C. Böhm
Non-Redundant Subspace Clusterings with Nr-Kmeans and Nr-DipMeans.
ACM Transactions on Knowledge Discovery from Data 14.5. Jun. 2020. DOI

[86]

A. Beyer • G. Kauermann • H. Schütze
Embedding Space Correlation as a Measure of Domain Similarity.
LREC 2020 - 12th International Conference on Language Resources and Evaluation. Marseille, France, May 13-15, 2020. URL

[85]

J. Jungmaier • N. Kassner • B. Roth
Dirichlet-Smoothed Word Embeddings for Low-Resource Settings.
LREC 2020 - 12th International Conference on Language Resources and Evaluation. Marseille, France, May 13-15, 2020. URL

[84]

F. Borutta • D. Kazempour • F. Marty • P. Kröger • T. Seidl
Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough Transform.
PAKDD 2020 - 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Singapore, May 11-14, 2020. DOI

[83]

S. Klau • M.-L. Martin-Magniette • A.-L. Boulesteix • S. Hoffmann
Sampling uncertainty versus method uncertainty: a general framework with applications to omics biomarker selection.
Biometrical Journal 62.3. May. 2020. DOI

[82]

K. Baßler • W. Fujii • T. S. Kapellos • A. Horne • B. Reiz • E. Dudkin • M. Lücken • N. Reusch • C. Osei-Sarpong • S. Warnat-Herresthal • A. Wagner • L. Bonaguro • P. Günther • C. Pizarro • T. Schreiber • M. Becker • K. Händler • C. T. Wohnhaas • F. Baumgartner • M. Köhler • H. Theis • M. Kraut • M. H. Wadsworth • T. K. Hughes • H. J. G. Ferreira • J. Schulte-Schrepping • E. Hinkley • I. H. Kaltheuner • M. Geyer • C. Thiele • A. K. Shalek • A. Feißt • D. Thomas • H. Dickten • M. Beyer • P. Baum • N. Yosef • A. C. Aschenbrenner • T. Ulas • J. Hasenauer • F. J. Theis • D. Skowasch • J. L. Schultze
Alterations of multiple alveolar macrophage states in chronic obstructive pulmonary disease.
Preprint (May. 2020). DOI

[81]

J. Klicpera • J. Groß • S. Günnemann
Directional Message Passing for Molecular Graphs.
ICLR 2020 - 8th International Conference on Learning Representations. Virtual, Apr 26-May 01, 2020. URL

[80]

O. Shchur • M. Biloš • S. Günnemann
Intensity-Free Learning of Temporal Point Processes.
ICLR 2020 - 8th International Conference on Learning Representations. Virtual, Apr 26-May 01, 2020. Spotlight Presentation. URL

[79]

M. Berrendorf • E. Faerman • V. Tresp
Active Learning for Entity Alignment.
DL4G @WWW 2020 - 5th International Workshop on Deep Learning for Graphs at the International World Wide Web Conference. Taipeh, Taiwan, Apr 21, 2020. arXiv

[78]

M. Berrendorf • E. Faerman • L. Vermue • V. Tresp
Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank (Extended Abstract).
DL4G @WWW 2020 - 5th International Workshop on Deep Learning for Graphs at the International World Wide Web Conference. Taipeh, Taiwan, Apr 21, 2020. Full paper at WI-AT 2020. DOI

[77]

M. C. Altinigneli • L. Miklautz • C. Böhm • C. Plant
Hierarchical Quick Shift Guided Recurrent Clustering.
ICDE 2020 - 36th IEEE International Conference on Data Engineering. Dallas, TX, USA, Apr 20-24, 2020. DOI

[76]

M. Berrendorf • E. Faerman • V. Melnychuk • V. Tresp • T. Seidl
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned.
ECIR 2020 - 42nd European Conference on Information Retrieval. Virtual, Apr 14-17, 2020. DOI GitHub

[75]

F. Borutta
Unsupervised learning on social data.
Dissertation LMU München. Mar. 2020. DOI

[74]

L. Miklautz • D. Mautz • M. C. Altinigneli • C. Böhm • C. Plant
Deep embedded non-redundant clustering.
AAAI 2020 - 34th Conference on Artificial Intelligence. New York City, New York, USA, Feb 07-12, 2020. DOI

[73]

S. Sachs • A. Bastidas-Ponce • S. Tritschler • M. Bakhti • A. Böttcher • M. A. Sánchez-Garrido • M. Tarquis-Medina • M. Kleinert • K. Fischer • S. Jall • A. Harger • E. Bader • S. Roscioni • S. Ussar • A. Feuchtinger • B. Yesildag • A. Neelakandhan • C. B. Jensen • M. Cornu • B. Yang • B. Finan • R. D. DiMarchi • M. H. Tschöp • F. J. Theis • S. M. Hofmann • T. D. Müller • H. Lickert
Targeted pharmacological therapy restores β-cell function for diabetes remission.
Nature Metabolism 2. Feb. 2020. DOI

[72]

M. Becker • P. Schratz • M. Lang • B. Bischl
mlr3fselect: Feature Selection for 'mlr3'.
2020. URL

[71]

M. Binder • F. Pfisterer • L. Schneider • B. Bischl • M. Lang • S. Dandl
mlr3pipelines: Preprocessing Operators and Pipelines for 'mlr3'.
2020. URL GitHub

[70]

M. Herrmann
fda-ndr: Unsupervised Functional Data Analysis via Nonlinear Dimension Reduction. R package.
2020. GitHub

[69]

M. Herrmann
manifun: Collection of functions to work with embeddings and functional data. R package.
2020. GitHub

[68]

M. Lang
mlr3db: Data Base Backend for 'mlr3'.
2020. URL GitHub

[67]

M. Lang
mlr3oml: Connector Between 'mlr3' and 'OpenML'.
2020. URL GitHub

[66]

M. Lang • Q. Au • S. Coors • P. Schratz
mlr3learners: Recommended Learners for 'mlr3'.
2020. URL GitHub

[65]

M. Lang • P. Schratz • R. Sonabend
mlr3viz: Visualizations for 'mlr3'.
2020. URL GitHub

[64]

D. Pulatov • M. Lang
mlr3cluster: Cluster Extension for 'mlr3'.
2020. URL GitHub

[63]

F. Scheipl • J. Goldsmith • J. Wrobel
tidyfun: Tools for Tidy Functional Data. R package.
2020. URL GitHub

[62]

P. Schratz • M. Lang • B. Bischl • M. Binder
mlr3filters: Filter Based Feature Selection for 'mlr3'.
2020. URL GitHub

[61]

R. Sonabend • F. J. Kiraly • A. Bender • B. Bischl • M. Lang
mlr3proba: Probabilistic Supervised Learning for 'mlr3'. R package version 0.2.6.
2020. DOI URL

[60]

J. Wrobel • A. Bauer • J. McDonnel • F. Scheipl
registr: Curve Registration for Exponential Family Functional Data. R package.
2020. GitHub

[59]

M. Urban • K. Heckel • C. Berger • P. Schratz • I. P. Smit • T. Strydom • J. Baade • C. Schmullius
Woody cover mapping in the savanna ecosystem of the Kruger National Park using Sentinel-1 C-Band time series data.
Koedoe 62.1. Jan. 2020. DOI

[58]

D. Davletshina • V. Melnychuk • V. Tran • H. Singla • M. Berrendorf • E. Faerman • M. Fromm • M. Schubert
Unsupervised Anomaly Detection for X-Ray Images.
Preprint (Jan. 2020). arXiv GitHub

2019

[57]

E. Faerman • O. Voggenreiter • F. Borutta • T. Emrich • M. Berrendorf • M. Schubert
Graph Alignment Networks with Node Matching Scores.
Graph Representation Learning @NeurIPS 2019 - Workshop on Graph Representation Learning at the 33rd Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 08-14, 2019. PDF

[56]

M. Biloš • B. Charpentier • S. Günnemann
Uncertainty on Asynchronous Time Event Prediction.
NeurIPS 2019 - 33rd Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 08-14, 2019. URL

[55]

A. Bojchevski • S. Günnemann
Certifiable Robustness to Graph Perturbations.
NeurIPS 2019 - 33rd Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 08-14, 2019. URL

[54]

J. Gasteiger • S. Weißenberger • S. Günnemann
Diffusion Improves Graph Learning.
NeurIPS 2019 - 33rd Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 08-14, 2019. URL

[53]

M. Lang • M. Binder • J. Richter • P. Schratz • F. Pfisterer • S. Coors • Q. Au • G. Casalicchio • L. Kotthoff • B. Bischl
mlr3: A modern object-oriented machine learning framework in R.
The Journal of Open Source Software 4.44. Dec. 2019. DOI

[52]

M. Binder • J. Moosbauer • J. Thomas • B. Bischl
Multi-Objective Hyperparameter Tuning and Feature Selection using Filter Ensembles.
Preprint (Dec. 2019). arXiv

[51]

D. Mautz • C. Plant • C. Böhm
Deep Embedded Cluster Tree.
ICDM 2019 - 19th IEEE International Conference on Data Mining. Beijing, China, Nov 08-11, 2019. DOI

[50]

E. Faerman • M. Rogalla • N. Strauß • A. Krüger • B. Blümel • M. Berrendorf • M. Fromm • M. Schubert
Spatial Interpolation with Message Passing Framework.
Workshop @ICDM 2019 - Workshop at the 19th IEEE International Conference on Data Mining. Beijing, China, Nov 08-11, 2019. DOI

[49]

M. Fromm • M. Berrendorf • E. Faerman • Y. Chen • B. Schüss • M. Schubert
XD-STOD: Cross-Domain Superresolution for Tiny Object Detection.
Workshop @ICDM 2019 - Workshop at the 19th IEEE International Conference on Data Mining. Beijing, China, Nov 08-11, 2019. DOI

[48]

F. Lüer • D. Mautz • C. Böhm
Anomaly Detection in Time Series using Generative Adversarial Networks.
Workshop @ICDM 2019 - Workshop at the 19th IEEE International Conference on Data Mining. Beijing, China, Nov 08-11, 2019. DOI

[47]

F. Borutta • S. Schmoll • S. Friedl
Optimizing the Spatio-Temporal Resource Search Problem with Reinforcement Learning.
ACM SIGSPATIAL 2019 - 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. Chicago, ILL, USA, Nov 05-08, 2019. DOI

[46]

F. Pfisterer • L. Beggel • X. Sun • F. Scheipl • B. Bischl
Benchmarking time series classification -- Functional data vs machine learning approaches.
Preprint (Nov. 2019). arXiv

[45]

F. Pfisterer • J. Thomas • B. Bischl
Towards Human Centered AutoML.
Preprint (Nov. 2019). arXiv

[44]

G. König • M. Grosse-Wentrup
A Causal Perspective on Challenges for AI in Precision Medicine.
PMBC 2019 - 2nd International Congress on Precision Medicine. Munich, Germany, Oct 14-15, 2019.

[43]

F. Borutta • J. Busch • E. Faerman • A. Klink • M. Schubert
Structural Graph Representations based on Multiscale Local Network Topologies.
WI 2019 - IEEE/WIC/ACM International Conference on Web Intelligence. Thessaloniki, Greece, Oct 14-17, 2019. DOI

[42]

M. Fromm • E. Faerman • T. Seidl
TACAM: Topic And Context Aware Argument Mining.
WI 2019 - IEEE/WIC/ACM International Conference on Web Intelligence. Thessaloniki, Greece, Oct 14-17, 2019. DOI

[41]

A. Beer • J. Lauterbach • T. Seidl
MORe++: k-Means Based Outlier Removal on High-Dimensional Data.
SISAP 2019 - 12th International Conference on Similarity Search and Applications. Newark, New York, USA, Oct 02-04, 2019. DOI

[40]

M. Berrendorf • F. Borutta • P. Kröger
k-Distance Approximation for Memory-Efficient RkNN Retrieval.
SISAP 2019 - 12th International Conference on Similarity Search and Applications. Newark, New York, USA, Oct 02-04, 2019. DOI

[39]

F. Borutta • P. Kröger • T. Hubauer
A Generic Summary Structure for Arbitrarily Oriented Subspace Clustering in Data Streams.
SISAP 2019 - 12th International Conference on Similarity Search and Applications. Newark, New York, USA, Oct 02-04, 2019. DOI

[38]

M. A. X. Hünemörder • D. Kazempour • P. Kröger • T. Seidl
SIDEKICK: Linear Correlation Clustering with Supervised Background Knowledge.
SISAP 2019 - 12th International Conference on Similarity Search and Applications. Newark, New York, USA, Oct 02-04, 2019. DOI

[37]

D. Kazempour • M. Hünemörder • T. Seidl
On coMADs and Principal Component Analysis.
SISAP 2019 - 12th International Conference on Similarity Search and Applications. Newark, New York, USA, Oct 02-04, 2019. DOI

[36]

L. Della Libera • V. Golkov • Y. Zhu • A. Mielke • D. Cremers
Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods.
Preprint (Oct. 2019). arXiv

[35]

A. Beer • N. S. Schüler • T. Seidl
A Generator for Subspace Clusters.
LWDA 2019 - Conference on Lernen. Wissen. Daten. Analysen. Berlin, Germany, Sep 30-Oct 02, 2019. PDF

[34]

D. Kazempour • A. Beer • O. Schrüfer • T. Seidl
Clustering Trend Data Time-Series through Segmentation of FFT-decomposed Signal Constituents.
LWDA 2019 - Conference on Lernen. Wissen. Daten. Analysen. Berlin, Germany, Sep 30-Oct 02, 2019. PDF

[33]

D. Kazempour • L. M. Yan • T. Seidl
From Covariance to Comode in context of Principal Component Analysis.
LWDA 2019 - Conference on Lernen. Wissen. Daten. Analysen. Berlin, Germany, Sep 30-Oct 02, 2019. PDF

[32]

L. Beggel • M. Pfeiffer • B. Bischl
Robust Anomaly Detection in Images Using Adversarial Autoencoders.
ECML-PKDD 2019 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Wuerzburg, Germany, Sep 16-20, 2019. DOI

[31]

J. Goschenhofer • F. M. J. Pfister • K. A. Yuksel • B. Bischl • U. Fietzek • J. Thomas
Wearable-based Parkinson's Disease Severity Monitoring using Deep Learning.
ECML-PKDD 2019 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Wuerzburg, Germany, Sep 16-20, 2019. DOI

[30]

C. Molnar • G. Casalicchio • B. Bischl
Quantifying Model Complexity via Functional Decomposition for Better Post-hoc Interpretability.
ECML-PKDD 2019 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Wuerzburg, Germany, Sep 16-20, 2019. DOI

[29]

C. A. Scholbeck • C. Molnar • C. Heumann • B. Bischl • G. Casalicchio
Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model Agnostic Interpretations.
ECML-PKDD 2019 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Wuerzburg, Germany, Sep 16-20, 2019. DOI

[28]

F. Pfisterer • S. Coors • J. Thomas • B. Bischl
Multi-Objective Automatic Machine Learning with AutoxgboostMC.
Workshops @ECML-PKDD 2019 - Workshops at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Wuerzburg, Germany, Sep 16-20, 2019. arXiv

[27]

J. Held • A. Beer • T. Seidl
Chain-detection Between Clusters.
Datenbank-Spektrum 19. Sep. 2019. DOI

[26]

S. Schmoll • S. Friedl • M. Schubert
Scaling the Dynamic Resource Routing Problem.
SSTD 2019 - 16th International Symposium on Spatial and Temporal Databases. Vienna, Austria, Aug 19-21, 2019. DOI

[25]

A. Beer • D. Kazempour • M. Baur • T. Seidl
Human Learning in Data Science (Poster Extended Abstract).
HCII 2019 - 21st International Conference of Human-Computer Interaction. Orlando, Florida, USA, Jul 26-31, 2019. DOI

[24]

D. Kazempour • A. Beer • T. Seidl
Data on RAILs: On interactive generation of artificial linear correlated data (Poster Extended Abstract).
HCII 2019 - 21st International Conference of Human-Computer Interaction. Orlando, Florida, USA, Jul 26-31, 2019. DOI

[23]

A. Beer • D. Kazempour • L. Stephan • T. Seidl
LUCK - Linear Correlation Clustering Using Cluster Algorithms and a kNN based Distance Function (short paper).
SSDBM 2019 - 31st International Conference on Scientific and Statistical Database Management. Santa Cruz, CA, USA, Jul 23-25, 2019. DOI

[22]

A. Beer • T. Seidl
Graph Ordering and Clustering - A Circular Approach.
SSDBM 2019 - 31st International Conference on Scientific and Statistical Database Management. Santa Cruz, CA, USA, Jul 23-25, 2019. DOI

[21]

D. Kazempour • K. Emmerig • P. Kröger • T. Seidl
Detecting Global Periodic Correlated Clusters in Event Series based on Parameter Space Transform.
SSDBM 2019 - 31st International Conference on Scientific and Statistical Database Management. Santa Cruz, CA, USA, Jul 23-25, 2019. DOI

[20]

D. Kazempour • T. Seidl
On systematic hyperparameter analysis through the example of subspace clustering.
SSDBM 2019 - 31st International Conference on Scientific and Statistical Database Management. Santa Cruz, CA, USA, Jul 23-25, 2019. DOI

[19]

M. Lotfollahi • F. A. Wolf • F. J. Theis
scGen predicts single-cell perturbation responses.
Nature Methods 16.8. Jul. 2019. DOI GitHub

[18]

F. Erhard • M. A. P. Baptista • T. Krammer • T. Hennig • M. Lange • P. Arampatzi • C. S. Jürges • F. J. Theis • A.-E. Saliba • L. Dölken
scSLAM-seq reveals core features of transcription dynamics in single cells.
Nature 571. Jul. 2019. DOI

[17]

A. Bojchevski • S. Günnemann
Adversarial Attacks on Node Embeddings via Graph Poisoning.
ICML 2019 - 36th International Conference on Machine Learning. Long Beach, CA, USA, Jun 09-15, 2019. URL

[16]

L. M. Weber • W. Saelens • R. Cannoodt • C. Soneson • A. Hapfelmeier • P. P. Gardner • A.-L. Boulesteix • Y. Saeys • M. D. Robinson
Essential guidelines for computational method benchmarking.
Genome Biology 20.125. Jun. 2019. DOI

[15]

M. D. Luecken • F. J. Theis
Current best practices in single‐cell RNA‐seq analysis: a tutorial.
Molecular Systems Biology 15.e8746. Jun. 2019. DOI GitHub

[14]

J. Thomas
Gradient boosting in automatic machine learning: feature selection and hyperparameter optimization.
Dissertation LMU München. Apr. 2019. DOI

[13]

Q. Au • D. Schalk • G. Casalicchio • R. Schoedel • C. Stachl • B. Bischl
Component-Wise Boosting of Targets for Multi-Output Prediction.
Preprint (Apr. 2019). arXiv

[12]

A. Beer • D. Kazempour • T. Seidl
Rock - Let the points roam to their clusters themselves.
EDBT 2019 - 22nd International Conference on Extending Database Technology. Lisbon, Portugal, Mar 26-29, 2019. PDF

[11]

D. Kazempour • L. Krombholz • P. Kröger • T. Seidl
A Galaxy of Correlations - Detecting Linear Correlated Clusters through k-Tuples Sampling using Parameter Space Transform.
EDBT 2019 - 22nd International Conference on Extending Database Technology. Lisbon, Portugal, Mar 26-29, 2019. PDF

[10]

D. Kazempour • T. Seidl
Insights into a running clockwork: On interactive process-aware clustering.
EDBT 2019 - 22nd International Conference on Extending Database Technology. Lisbon, Portugal, Mar 26-29, 2019. PDF

[9]

G. Casalicchio
On benchmark experiments and visualization methods for the evaluation and interpretation of machine learning models.
Dissertation LMU München. Mar. 2019. DOI

[8]

D. Kazempour • M. Kazakov • P. Kröger • T. Seidl
DICE: Density-based Interactive Clustering and Exploration.
BTW 2019 - 18th Symposium of Database Systems for Business, Technology and Web. Rostock, Germany, Mar 04-08, 2019. DOI

[7]

P. Probst • A.-L. Boulesteix • B. Bischl
Tunability: Importance of Hyperparameters of Machine Learning Algorithms.
Journal of Machine Learning Research 20. Mar. 2019. PDF

[6]

C. Happ • F. Scheipl • A.-A. Gabriel • S. Greven
A general framework for multivariate functional principal component analysis of amplitude and phase variation.
Stat 8.2. Feb. 2019. DOI

[5]

M. Binder • S. Dandl • J. Moosbauer
mosmafs: Multi-Objective Simultaneous Model and Feature Selection. R package.
2019. GitHub

[4]

J. Goldsmith • F. Scheipl • L. Huang • J. Wrobel • C. Di • J. Gellar • J. Harezlak • M. W. McLean • B. Swihart • L. Xiao • C. Crainiceanu • P. T. Reiss
refund: Regression with Functional Data.
2019. URL

[3]

P. Probst • M. N. Wright • A.-L. Boulesteix
Hyperparameters and Tuning Strategies for Random Forest.
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9.3. Jan. 2019. DOI

2018

[2]

J. Minkwitz • F. Scheipl • E. Binder • C. Sander • U. Hegerl • H. Himmerich
Generalised functional additive models for brain arousal state dynamics.
IPEG 2018 - 20th International Pharmaco-EEG Society for Preclinical and Clinical Electrophysiological Brain Research Meeting. Zurich, Switzerland, Nov 21-25, 2018. DOI

[1]

D. Mautz • W. Ye • C. Plant • C. Böhm
Discovering Non-Redundant K-means Clusterings in Optimal Subspaces.
KDD 2018 - 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. London, UK, Aug 19-23, 2018. DOI