Cargese2025
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, the recent one to John Hopfield and Geoffrey Hinton in 2024, and the Abel prize awarded to Michel Talagrand. 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.)
Schedule
Lecturers
Giulio Biroli (ENS)Slides
Michael Bronstein (Oxford)Slides
Bruno Loureiro (ENS Paris) Lecture notes
Daniel Roy (Vector Institute)
Yue Lu (Harvard)slides,notes
Andrew Saxe (UCL) [1],[2]
Brice Huang (MIT) slides
Pragya Sur (Harvard) slides
Confirmed invited speakers and participants
Michael Albergo (Harvard) slides
Gérard Ben Arous (NYU)
Freya Behrens (EPFL) slides
Alberto Bietti (Flatiron) slides
Claire Boyer (Orsay) notes
Joan Bruna (NYU) slides
Alex Damian (Princeton) slides
Ivan Dokmanic (Basel) slides
Karolina Dziugaite (Google) slides
Hugo Cui (Harvard)
Yatin Dandi (EPFL) slides
David Gamarnik (Harvard) slides
Cedric Gerbelot (ENS Lyon) slides
Federica Gerace (Bologna)
Sebastian Goldt (SISSA) slides
Francesca Mignacco (Princeton) slides
Elliot Paquette (McGill) slides
Courtney Paquette (McGill University) slides
Antoine Maillard (INRIA France) slides
Theo Misiakiewicz (Yale) slides
Francesco Mori (Oxford) slides
Francesco Pernice (MIT) slides,notes
Carlo Lucibello (Bocconi) slides
Jason Lee/Eshaan Nichani (Princeton) slides
Aukosh Jagannath (Waterloo)
Chris Jones (Bocconi) slides
Subhabrata Sen(Harvard) Notes
Guilhem Semerjian (ENS Paris) slides
Inbar Seroussi (Tel-Aviv)slides
Gabriele Sicuro (Bologna)
Ludovic Stephan (Rennes) slides
Stefano Sarao Mannelli(Gothenburg University) slides
Nati Srebro (Chicago)slides
Emanuele Troiani (EPFL) slides
Eric Vanden-Eijnden (NYU) slides
Ilias Zadik (Yale) slides
Zohar Ringel (Racah Institute of Physics) slides
Practical informations
The workshop cost is 1100 CHF 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.
Contacts
For any question, write cargese2025@gmail.com.
Sponsors
