08.05.2025
Digdeep Podcast: How Do Robots Get Muscles, Prof. Christoph Keplinger?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In the next episode of #digdeep, Christoph Keplinger gives information about advances in robotics. Even though humanoid robots are increasingly adopting human geometries, with their hard metal forms, they remain much less flexible than humans with adaptable muscles and highly sensitive grippers. …
08.05.2025
Christian Koke Wins ICLR 2025 Best Paper Award
Our Junior Member Honored for Work on Multiscale Graph Networks
MCML Junior Member Christian Koke and his co-authors have received the ICLR 2025 MLMP Best Paper Award for their paper “On Incorporating Scale into Graph Networks”. The award includes 2,000 GPU-hours from Nebius and honors their outstanding contribution to multiscale graph network research. …
02.05.2025
MCML Researchers With Five Papers at AISTATS 2025
28th International Conference on Artificial Intelligence and Statistics (AISTATS 2025). Mai Khao, Thailand, 29.04.2025 - 05.05.2024
We are happy to announce that MCML researchers are represented with five papers at AISTATS 2025. Read more to get details on the topics.
30.04.2025
Who Spreads Hate?
MCML Research Insight – With Dominique Geissler, Abdurahman Maarouf, and Stefan Feuerriegel
Hate speech on social media isn’t just offensive - it’s dangerous. It spreads quickly, harms mental health, and can even contribute to real-world violence. While many studies have focused on identifying hate speech or profiling those who create it, a key piece of the puzzle remained missing: Who reshares hate speech? The team at MCML - Dominique …
29.04.2025
How Certain Is AI? An Introduction to Bayesian Deep Learning
Researcher in Focus: Emanuel Sommer
MCML Junior Member Emanuel Sommer is a PhD-student at the Munich Uncertainty Quantification AI Lab at LMU Munich supervised by David Rügamer. His research focuses on Scalable and Reliable (Bayesian) Deep Learning.