New Paper Co-Authored by Our PI Stefan Feuerriegel

Building Open-Source AI

Our PI Stefan Feuerriegel argues why more AI should be build around open-source principles to be more accessible to everyone.

19.01.2026

MCML at AAAI 2026

MCML researchers are represented with 9 papers at AAAI 2026 (6 Main, and 3 Workshops).

19.01.2026

MCML PI Frauke Kreuter Featured on ARD Alpha on AI

MCML PI Frauke Kreuter featured on ARD alpha discussing AI in daily life, workplace applications, and responsible, future-ready use.

15.01.2026

Blind Matching – Aligning Images and Text Without Training or Labels

CVPR 2025 research from Daniel Cremers’ group shows how images and text can be aligned without training data, labels, or paired examples.

12.01.2026

MCML PIs Featured in Süddeutsche Zeitung

MCML PIs Xiaoxiang Zhu and Felix Dietrich featured in Süddeutsche Zeitung for TU Munich’s 2025 breakthroughs in AI and data science.

08.01.2026

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

ECCV 2024 research led by Björn Ommer’s team enables faster high-resolution image generation by boosting diffusion models with flow matching.