This course covers the statistical physics approach to computer science
problems ranging from graph theory and constraint satisfaction to
inference and machine learning. In particular the replica and cavity
methods, message passings algorithms, and analysis of the related phase
transitions.
- Professor: Florent Krzakala
- Professor: Lenka Zdeborová
- Teacher: Guillaume Dalle
- Teacher: Yatin Dandi
- Teacher: Luca Pesce
