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Research Blog

Welcome to our research blog, where we proudly showcase the talents 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 ever-evolving fields of AI and machine learning.

Link to From Global to Regional Explanations: Understanding Models More Locally

 

22.01.2026

From Global to Regional Explanations: Understanding Models More Locally

MCML Research Insight - With Giuseppe Casalicchio, Thomas Nagler and Bernd Bischl

Machine-learning models can be powerful, but understanding why they behave the way they do is often much harder. Early global interpretability tools were designed to show how each feature affects the …

Link to Research Stay at University of St. Gallen

©MCML

22.01.2026

Research Stay at University of St. Gallen

Andrea Maldonado – Funded by the MCML AI X-Change Program

Between Freundenberg – “happiness mountain” – and Rosenberg – “roses mountain”, I had the pleasure to visit the Institute of Computer Science (ICS-HSG) at the University of St. Gallen (HSG) in …

Link to Blind Matching – Aligning Images and Text Without Training or Labels

 

15.01.2026

Blind Matching – Aligning Images and Text Without Training or Labels

MCML Research Insight - With Dominik Schnaus, Nikita Araslanov, and Daniel Cremers

Vision-language models have shown that images and text can live in a shared space: a picture of a “cat” often lands close to the word “cat” in the embedding space. But such …

Link to High-Res Images, Less Wait: A Simple Flow for Image Generation

 

08.01.2026

High-Res Images, Less Wait: A Simple Flow for Image Generation

MCML Research Insight - With Johannes Schusterbauer, Pingchuan Ma, Vincent Tao Hu, and Björn Ommer

Image generation models today can create almost anything, like a futuristic city glowing at sunset, a classical painting of your cat, or a realistic spaceship made of glass. But when you ask them to …

Link to "See, Don’t Assume": Revealing and Reducing Gender Bias in AI

 

18.12.2025

"See, Don’t Assume": Revealing and Reducing Gender Bias in AI

MCML Research Insight - With Leander Girrbach, Yiran Huang, Stephan Alaniz and Zeynep Akata

Using AI and LLMs at work feels almost unavoidable today: they make things easier, but they can also go wrong in important ways. One of the trickiest problems? Gender bias. For example, if you ask …

Link to From Sitting Dog to Standing: A New Way to Morph 3D Shapes

 

11.12.2025

From Sitting Dog to Standing: A New Way to Morph 3D Shapes

MCML Research Insight - With Lu Sang and Daniel Cremers

Ever wondered how a 3D shape can smoothly change — like a robot arm bending or a dog rising from sitting to standing — without complex simulations or hand-crafted data? Researchers from MCML and the …

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2024-11-22 - Last modified: 2026-01-22