Home  | Tags | #p_kilbertus

#p_kilbertus

BTB+25

ScConcept: Contrastive Pretraining for Technology-Agnostic Single-Cell Representations Beyond Reconstruction

Preprint (Oct. 2025)

#p_kilbertus #p_theis

SFS+25

Learning Representations of Instruments for Partial Identification of Treatment Effects

ICML 2025

#p_feuerriegel #p_kilbertus

ZPK+25

Regress, Don't Guess -- A Regression-Like Loss on Number Tokens for Language Models

ICML 2025

#p_kilbertus

CBK25

Identifiability Challenges in Sparse Linear Ordinary Differential Equations

Preprint (Jun. 2025)

#p_kilbertus

MCM+25a

An Asymmetric Independence Model for Causal Discovery on Path Spaces

CLeaR 2025

#p_kilbertus

MCF+25

Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes

ICLR 2025

#p_kilbertus

LCY+25

Whole Genome Transformer for Gene Interaction Effects in Microbiome Habitat Specificity

AAAI 2025

#p_kilbertus

WSL+25

Biases in Machine-Learning Models of Human Single-Cell Data

Nature Cell Biology. Feb. 2025

#p_bauer_s #p_kilbertus

AMK25

Instrumental Variable Estimation for Compositional Treatments

Scientific Reports 15.5158. Feb. 2025

#p_kilbertus #p_mueller

PLC+25

Your Assumed DAG Is Wrong and Here's How to Deal With It

Preprint (Feb. 2025)

#p_kilbertus

KIK+24

Towards Physically Consistent Deep Learning for Climate Model Parameterizations

ICMLA 2024

#p_kilbertus

WBG+24b

Projected Neural Differential Equations for Power Grid Modeling With Constraints

D3S3 @NeurIPS 2024

#p_kilbertus

ADH+24

Targeted Sequential Indirect Experiment Design

NeurIPS 2024

#p_kilbertus

SCK24

Uncertainty-Aware Optimal Treatment Selection for Clinical Time Series

Preprint (Oct. 2024)

#p_kilbertus

WBG+24a

Projected Neural Differential Equations for Learning Constrained Dynamics

Preprint (Oct. 2024)

#p_kilbertus

SHB+24

Transformers in Single-Cell Omics: A Review and New Perspectives

Nature Methods 21. Aug. 2024

#p_kilbertus #p_theis

QCM+24

Learning Counterfactually Invariant Predictors

Transactions on Machine Learning Research. Jul. 2024

#p_kilbertus

OLP+24

Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes

Workshop @CVPR 2024

#p_kilbertus #p_zhu

ABS+24

ODEFormer: Symbolic Regression of Dynamical Systems With Transformers

ICLR 2024

#p_kilbertus

EKU+24

Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation

ICLR 2024

#p_kilbertus #p_theis

LCY+24

Whole Genome Transformers for Gene Interaction Effects in Microbiome Habitat Prediction

MLGenX @ICLR 2024

#p_kilbertus

FFM+24

Causal Machine Learning for Predicting Treatment Outcomes

Nature Medicine 30. Apr. 2024

#p_feuerriegel #p_kilbertus

TMS+23

Toward Responsible AI Use: Considerations for Sustainability Impact Assessment

Preprint (Dec. 2023)

#p_kilbertus

ARS+22

Sparsity in Continuous-Depth Neural Networks

NeurIPS 2022

#p_kilbertus #p_theis

HBK+22

Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution

NeurIPS 2022

#p_guennemann #p_kilbertus #p_theis

HBK+22a

Predicting Single-Cell Perturbation Responses for Unseen Drugs

MLDD @ICML 2022

#p_guennemann #p_kilbertus #p_theis
Back to Top

0001-01-01 - Last modified: 0001-01-01