11.12.2025
From Sitting Dog to Standing: A New Way to Morph 3D Shapes
MCML Research Insight - With Lu Sang and Daniel Cremers
Ever wondered how a 3D shape can smoothly change — like a robot arm bending or a dog rising from sitting to standing — without complex simulations or hand-crafted data? Researchers from MCML and the University of Bonn tackled this challenge in their ICLR 2025 paper, “Implicit Neural Surface …
©BAdW / Karl Neunert
08.12.2025
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 …
©Juli Eberle / TUM / ediundsepp Gestaltungsgesellschaft
04.12.2025
World’s First Complete 3D Model of All Buildings Released
TUM News
A research team led by MCML PI Xiaoxiang Zhu has released the GlobalBuildingAtlas, the first global high-resolution 3D model of all buildings on Earth. Based on 2019 satellite data, the atlas includes more than 2.75 billion buildings worldwide. It offers a ground-breaking spatial resolution of 3×3 …
04.12.2025
When to Say “I’m Not Sure”: Making Language Models More Self-Aware
MCML Research Insight - With Yawei Li, David Rügamer, Bernd Bischl, and Mina Rezaei
Large language models like ChatGPT or Gemini are now everywhere, from summarizing text to writing code or answering simple questions. But there’s one thing they still struggle with: admitting uncertainty. Ask a fine-tuned LLM a tricky question, and it might sound quite confident, even when it’s completely wrong. This “overconfidence” …
©MCML
01.12.2025
Research Stay at Princeton University
Abdurahman Maarouf – Funded by the MCML AI X-Change Program
From May to July, I spent three exciting months as a visiting researcher at the Computer Science Department of Princeton University, hosted by Prof. Manoel Horta Ribeiro. The visit grew out of a keynote Manoel gave at LMU. After his talk, we discussed potential joint projects at the intersection of causal inference, machine learning, and social …
27.11.2025
Seeing the Bigger Picture – One Detail at a Time
MCML Research Insight - With Rui Xiao, Sanghwan Kim, and Zeynep Akata
Large vision-language models (VLMs) like CLIP (Contrastive Language-Image Pre-training) have changed how AI works with mixed inputs of images and text, by learning to connect pictures and words. Given an image with a caption like “a dog playing with a ball”, CLIP learns to link visual patterns (the dog, the ball, the grass) with the …
25.11.2025
InterACT Workshop 2025
Methodological Challenges in Explainable AI
The InterACT Workshop 2025 took place at LMU Munich in September. Participants engaged in an intensive scientific exchange on methodological challenges in Explainable AI (xAI). The workshop brought together 24 researchers from eight institutions across Europe: LMU Munich, University of Bremen, University of Warsaw, University of Zurich, Norwegian …
©BIFOLD/Michael Setzpfandt
25.11.2025
How Will Artificial Intelligence Redefine Medicine in the Next Decade?
AI in Medicine Workshop 2025
The AI in Medicine Workshop 2025 brought together more than 120 experts from medicine and computer science at the Baltic, Charité’s innovation hub for digital health.