Machine Learning Group (original) (raw)

The Machine Learning Group at TU Berlin is chaired by Prof. Dr. Klaus-Robert Müller and focuses on methodological and theoretical improvements as well as applications in machine learning. As for methodology, some of our research areas are explainable AI, probabilistic ML, and multimodal learning. As for applications, exemplary domains are quantum chemistry, digital pathology, and biomedical sensing.

Selected Research Areas

Recent Publications

Theo Chow, Mario D'Onghia, Lorenz Linhardt, Zeliang Kan, Daniel Arp, Lorenzo Cavallaro, Fabio Pierazzi

January 2026 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)

Marvin Sextro, Weronika Kłos, Gabriel Dernbach

January 2026 ICLR 2026 Workshop on Machine Learning for Genomics Explorations

News

Feb 2024: The AQTIVATE Workshop kicks off on Monday, Feb 12th 2024, at Technische Universität Berlin, offering an immersive dive into Machine Learning with a focus on applications in science. Organized by BIFOLD and the Machine Learning Group, the workshop covers everything from basic principles to specialized uses in physics and chemistry. Further details and updates are available here.