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22.01.2026

Industry Pitch Talks Recap

With the DeepL Community

On January 20th, we visited DeepL at their Munich office for an edition of our “MCML Pitchtalks with Industry.”

DeepL presented their current state-of-the-art work in NLP, and our junior members—Siyao …

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 …

©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 …

Bootcamp • 23.01.2026 - 24.01.2026 • University of Television and Film Munich (HFF)

10:00 am - 5:30 pm

Media Innovations Impact Bootcamp

AI Meets Entrepreneurs

The Media Innovations Impact Bootcamp is a two-day program designed for researchers and students interested in AI, machine learning, art, and media design who want to explore entrepreneurial thinking …

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 …