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Research Blog

Welcome to our research blog, where we proudly showcase the talents and achievements of our researchers, with a special focus on our junior members. Here, you’ll gain insight into their innovative work and the fresh ideas they bring to the ever-evolving fields of AI and machine learning.

Link to Can AI Help Solve Complex Physics Equations? Meet APEBench

11.02.2025

Can AI Help Solve Complex Physics Equations? Meet APEBench

MCML Research Insight - With Felix Köhler, Rüdiger Westermann and Nils Thuerey

Our Junior Member Felix Köhler, together with our PIs Rüdiger Westermann and Nils Thuerey, and collaborator Simon Niedermayr, have introduced APEBench, an innovative benchmark suite. APEBench sets a new standard for evaluating autoregressive neural emulators, which are designed to solve partial differential equations (PDEs)—the fundamental …

Link to Improving Business Processes

06.02.2025

Improving Business Processes

Researcher in Focus: Gabriel Marques Tavares

MCML Junior Member Gabriel Marques Tavares has a PostDoc position at the chair of Database Systems and Data Mining at LMU Munich. His research focus is in the field of Process Mining, which investigates the execution of business processes within organizations, aiming at improving their performance, saving resources and identifying bottlenecks.

Link to TruthQuest – A New Benchmark for AI Reasoning

15.01.2025

TruthQuest – A New Benchmark for AI Reasoning

MCML Research Insight - With Philipp Mondorf and Barbara Plank

In their recent work, “Liar, Liar, Logical Mire: A Benchmark for Suppositional Reasoning in Large Language Models” our Junior Member Philipp Mondorf and our PI Barbara Plank tackle a fascinating question: How well do AI systems handle complex reasoning tasks?

Link to Research Collaboration Between TUM/MCML and Stanford University

07.01.2025

Research Collaboration Between TUM/MCML and Stanford University

Funded by the MCML AI X-Change Program and BaCaTeC

During the summer of 2024, I had the privilege of representing the Computer Vision Group at TUM, led by Prof. Daniel Cremers, in a collaborative research project with the Geometric Computing Group at Stanford University, headed by Prof. Leonidas Guibas. During my three-month stay at Stanford, researchers from both institutes delved deeply into the …

Link to Epistemic Foundations and Limitations of Statistics and Science

19.12.2024

Epistemic Foundations and Limitations of Statistics and Science

Blogpost on the Replication Crisis

The Open Science Initiative in Statistics and the MCML recently hosted a workshop about epistemic foundations and limitations of statistics and science. The event brought together researchers from diverse fields to discuss one of science’s most pressing challenges: The replication crisis. While the crisis is often attributed to systemic issues like …

Link to Understanding Vision Loss and the Need for Early Treatment

11.12.2024

Understanding Vision Loss and the Need for Early Treatment

Researcher in Focus: Jesse Grootjen

MCML Junior Member Jesse Grootjen is writing his doctoral thesis at the Chair of Human-Centered Ubiquitous Media at LMU Munich. The group conducts research at the crossroads of human computer interaction, media technology, and ubiquitous computing. The overall research question is: how can we enhance human abilities through digital technologies?

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