LemanTh2025

program

The past decade brought a revolution to machine learning: algorithms are now able to deal with tasks and amounts of data that seemed to be science fiction only a decade ago. The program will concentrate on theoretical aspect of machine learning and neural network, and their deep link with high-dimensional statistics, statistical physics and computer science. It will highlight discussions at the intersection of probablity theory, statistical physics, optimization and theoretical computer science.

Organisers: Noam Itzhak Levi (AI4Science, EPFL) Matthieu Wyart (EPFL and Johns Hopkins University), Florent Krzakala (EPFL, IdePhics Lab.), and Bruno Loureiro (DI-ENS & CNRS)

Schedule

Note that this is a preliminary schedule subjected to change.

schedule

Venue :

Bernoullli Center, EPFL, Lausanne.

Registration

Register by filling this Google forms.

Registration is free but mandatory. Note that due to limited space, registration does not guarantee acceptance. We will be contacting participants individually.

Invited speakers