The past decades 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 statistical physics community and the machine learning ones have long been connected and indeed many concepts and algorithms of machine learning have roots in physics, as testified by the Physics Nobel prize to Giorgio Parisi in 2021 and the recent one to John Hopfield and Geoffrey Hinton in 2024. After a wonderful event in 2018 and an equally amazing event in 2023, we shall gather once again in Cargese in 2025, from August 5 to 15, and bring together researchers from machine learning & statistical physics to take full advantage of the strong link between the two fields to make further scientific progress. This school aims to bring together researchers from machine learning and statistical physics to train a new generation that will be able to take full advantage of the strong link between the two fields to make further scientific progress, but also to learn about the exiciting developenent in each other fields. The school will cover both theoretical aspect of machine learning and statistics. The format will be several (~10) 3h introductory lectures, and about twice as many contributed invited talks.
Organisers: Florent Krzakala (EPFL, IdePhics Lab.), Lenka Zdeborova (EPFL, SPOC Lab.)
TBA
The workshop cost is 1100 euros per participant covering accommodation, lunches and breakfasts.
While participant can arrive on 4/8 and leave on 16/8, the conference will take place between 5/8 and 15/8.
More information can be found on the institute webpage.
For any question, write cargese2025@gmail.com.