Alessandro Favero
EPFL SB IPHYS PCSL
BSP 729 (Cubotron UNIL)
Rte de la Sorge
CH-1015 Lausanne
Web site: Web site: https://pcsl.epfl.ch/
EPFL STI IEM LTS4
ELD 241 (Bâtiment ELD)
Station 11
CH-1015 Lausanne
Web site: Web site: https://lts4www.epfl.ch/
Research
Research Interests:
- Theoretical foundations of deep learning (representation learning, generalisation, links with kernel methods)
- Connections between statistical physics and machine learning
- Geometric deep learning: symmetries, invariants, and scale separation
Teaching & PhD
Teaching Duties:
- Machine learning for physicists (graduate level)
- Physics projects: deep learning theory & experiments (graduate level)