24.07.2026
MCML Researchers at ECCV 2026 Workshop on Geometric Intelligence
Bridging Computer Vision and Scientific Discovery
MCML Director Daniel Cremers, PI Riccardo Marin, and Junior Member Maolin Gao are co-organizing the ECCV 2026 workshop Geometric Intelligence: From Vision to Scientific Discovery. Bringing together researchers from computer vision, machine learning, and the natural sciences, the workshop will explore how geometry can serve as a foundation for building AI systems that reason beyond visual appearance.
The workshop focuses on topics including geometric deep learning, 3D vision, physics-informed AI, geometric foundation models, and AI for scientific discovery. Through invited talks, paper presentations, and discussions, it aims to foster interdisciplinary collaboration and advance geometry-aware AI for real-world scientific challenges.
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22.07.2026
MCML Welcomes Student Delegation From HEC Montréal
MCML welcomed students from HEC Montréal for discussions on AI research, ethics, and international academic collaboration.
21.07.2026
Timo Heiß Receives Best Student Paper Award at XAI 2026
Timo Heiß receives the Best Student Paper Award at XAI 2026 for research on improving feature effect estimation in explainable AI.
21.07.2026
The Learning Rate Does More Than Set the Pace
New ICML 2026 research by Gitta Kutyniok and her team shows how learning rates balance competing biases that shape neural network generalization.
