Home  | Research | Research Blog

Research Blog

Welcome to our research blog, where we highlight the work and achievements of our researchers, with a special focus on our Junior Members. Here, you’ll gain insight into their innovative work and the fresh ideas they bring to the dynamic fields of ML and AI.

Link to How AI Avatars Shape Perceived Fairness

02.04.2026

How AI Avatars Shape Perceived Fairness

MCML Research Insight – With Ka Hei Carrie Lau and Enkelejda Kasneci

Imagine applying for a job and being interviewed not by a human recruiter, but by an AI avatar on your screen. The conversation feels surprisingly natural. The interviewer smiles, asks questions, and …

Link to Teaching Models to Say ‘I’m Not Sure’

19.03.2026

Teaching Models to Say ‘I’m Not Sure’

MCML Research Insight – With Hannah Laus, Felix Krahmer and Holger Rauhut

Machine learning models are good at giving answers, predicting patterns, and classifying objects but they are much worse at saying when they are unsure. But what if the model could admit when it was …

Link to Foundations of Diffusion: One Map for Images and Text

05.03.2026

Foundations of Diffusion: One Map for Images and Text

MCML Research Insight – With Vincent Pauline, Tobias Höppe, Andrea Dittadi, and Stefan Bauer

From hyper-realistic video generation to protein design, Diffusion Models are the engine behind the current wave of Generative AI. But if you try to understand how diffusion models actually work, you …

Link to COSMOS – Teaching Vision-Language Models to Look Beyond the Obvious

19.02.2026

COSMOS – Teaching Vision-Language Models to Look Beyond the Obvious

MCML Research Insight - With Sanghwan Kim, Rui Xiao, Mariana-Iuliana Georgescu, Stephan Alaniz, and Zeynep Akata

Today’s AI systems are remarkably good at recognizing what stands out most. Yet understanding how details relate to each other remains surprisingly difficult. Imagine asking an AI assistant to …

Link to Needle in a Haystack: Finding Exact Moments in Long Videos

05.02.2026

Needle in a Haystack: Finding Exact Moments in Long Videos

MCML Research Insight - With With Tanveer Hannan and Thomas Seidl

Long videos are everywhere, with footage of movies, YouTube videos, body-cam recordings, and AR/VR often running for tens of minutes or even hours. Now imagine asking a simple question like “Where are …

Link to How Machines Can Discover Hidden Rules Without Supervision

29.01.2026

How Machines Can Discover Hidden Rules Without Supervision

MCML Research Insight - With Tobias Schmidt, and Steffen Schneider

How can machines learn the hidden rules that govern how systems change—how objects move, how weather patterns unfold, or how biological signals evolve—without ever being told what those rules are?

Back to Top