20.06.2025
©TUM
ERC Advanced Grant for Massimo Fornasier
MCML PI Receives Funding for Nonconvex Optimization
MCML PI Massimo Fornasier has been awarded an ERC Advanced Grant for his project NEITALG. The project aims to develop new algorithms that can reliably find global solutions to challenging nonconvex optimization problems, with applications in drug development and AI safety.
Congrats from us!
Related
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.
