A Top Spot for AI and ML Research in Europe

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?

28.01.2026

Fabian Theis Featured in FOCUS Online at DLD 2026

How AI Can Support Doctors and Improve Access to Healthcare

MCML PI Fabian Theis was featured in an interview with FOCUS online at DLD Munich 2026, discussing how artificial intelligence can transform medicine. Fabian highlighted how AI can help make diagnosis …

27.01.2026

Joint Retreat of MCML and TUEAI Center on the Latest Advances in Computer Vision

Short Recap

In January 2026, two research groups of the MCML and Tübingen AI Center met for a four-day retreat in Gaschurn/ Austria. About 60 researchers joined for talks and poster sessions. The joint retreat …

Pitchtalk Series • 02.02.2026 • LRZ

2:00 pm - 5:00 pm

Meetup at LRZ With Pitchtalks and Guided Tour - Due to the MVG Strike on Monday February 2nd, the Event Will Be Postponed

Join Us for Networking and Insights

On February 2nd, we will visit the LRZ for a Pitchtalk Event, a Meetup, and a guided visit to the LRZ. We will have short pitches by MCML members on their research that relates to the LRZ, a Meetup …

Open Lab Day • 02.02.2026 • LMU Munich, Frauenlobstr. 7a, Munich

6:00 pm - 9:30 pm

Open Lab Day 2026

Visit the Media Informatics Group @LMU

What do you actually do with what you’re studying? The Open Lab Day is aimed not only at media informatics students, but also at their families, friends and prospective students. Visitors gain an …

Colloquium • 04.02.2026 • LMU Munich, Department of Statistics and via zoom

4:15 pm - 5:45 pm

Large Language Models for Statistical Inference: Context Augmentation With Applications to the Two-Sample Problem and Regression

Marc Ratkovic, University of Mannheim

The colloquium introduces context expansion, an approach that uses large language models to generate additional contexts around strings to enable valid statistical inferences. These contexts reduce …