08.12.2025
©BAdW / Karl Neunert
Tom Sterkenburg Wins Karl-Heinz Hoffmann Prize of the Bavarian Academy of Sciences
Honored for His Work at the Intersection of Philosophy, Statistics, and Machine Learning
MCML JRG Leader Tom Sterkenburg has been awarded the Karl-Heinz Hoffmann Prize of the Bavarian Academy of Sciences and Humanities (BAdW). The prize was presented at the Academy’s Ceremonial Annual Meeting on 6 December 2025 in Munich.
With its annual science prizes, the BAdW honors outstanding early-career researchers across disciplines. The Karl-Heinz Hoffmann Prize is awarded alternately in the humanities and the natural sciences. Tom Sterkenburg’s research is situated at the intersection of philosophy, statistics, and computer science. His work combines mathematical modeling, algorithmic simulation, and philosophical analysis to address the classical problem of induction in the context of machine learning.
Congrats to Tom on this achievement!
Related
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.
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.
©Joachim Wendler - stock-adobe.com
02.01.2026
MCML Researchers in Highly-Ranked Journals
We are excited to announce that MCML researchers have four papers published in highly-ranked journals in 2026.
18.12.2025
"See, Don’t Assume": Revealing and Reducing Gender Bias in AI
ICLR 2025 research led by Zeynep Akata’s team reveals and reduces gender bias in popular vision-language AI models.