Cargese2023.github.io

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 statistical physics community and the machine learning ones were connected and indeed many concepts and algorithms of machine learning have roots in physics. It is time to revive and strengthen this connection. After a wonderful event in 2018, we gather once again in Cargese in 2023, from July 31st to August 12th, 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. The program will concentrate on theoretical aspect of machine learning and high-dimensional statistics, and their deep link with physics, as well as the direct applications of machine learning techniques in physics, for instance for sampling and generative problems.

Organisers: Damien Barbier (EPFL, IdePhics Lab.), Vittorio Erba (EPFL, SPOC Lab.), Florent Krzakala (EPFL, IdePhics Lab.), Bruno Loureiro (ENS, Paris), Lenka Zdeborova (EPFL, SPOC Lab.)

Schedule

Some of the slides of the talks can be found here.

The program of the workshop:

Program1

Program2

Invited speakers

Gérard Ben Arous (NYU)
Guy Bresler (MIT)
Joan Bruna (NYU)
Ahmed El Alaoui (Cornell)
Marylou Gabrié (Polytechnique Paris)
David Gamarnik (MIT)
Cedric Gerbelot (NYU)
Sebastian Goldt (SISSA Trieste)
Alice Guionnet (ENS Lyon)
Suriya Gunasekar (Microsoft)
Boris Hanin (Princeton)
Julia Kempe (NYU)
Bruno Loureiro (ENS Paris)
Yue Lu (Harvard)
Antoine Maillard (ETH Zurich)
Theodor Misiakiewicz (Stanford)
Remi Monasson (ENS Paris)
Cristopher Moore (Santa Fe Institute)
Cengiz Pehlevan (Harvard)
Galen Reeves (Duke)
Cindy Rush (Columbia)
Andrew Saxe (UCL)
Mark Sellke (Harvard)
Guilhem Semerjian (ENS Paris)
Subhabrata Sen (Harvard)
Allan Sly (Princeton)
Nathan Srebro (TTIC)
Ludovic Stephan (EPFL)
Pragya Sur (Harvard)
Eric Vanden-Eijnden (NYU)
Soledad Villar (Johns Hopkins)
Matthieu Wyart (EPFL)
Ilias Zadik (MIT)
Riccardo Zecchina (Bocconi)

Contributed speakers

Demian Barbier (EPFL)
Freya Behrens (EPFL)
Stefan Boettcher (Emory)
Zhengdao Chen (Google)
Lucas Clarte (EPFL)
Hugo Cui (EPFL)
Alex Damian (Princeton)
Yatin Dandi (EPFL)
Anna Dawid (Flatiron)
Vittorio Erba (EPFL)
Federica Gerace (SISSA Trieste)
Davide Ghio (EPFL)
Brice Huang (MIT)
Justin Ko (ENS Lyon)
Jean-Christophe Mourrat (ENS Lyon and CNRS)
Aris Moustakas (National Kapodistrian University of Athens)
Matteo Negri (Rome La Sapienza)
Ari Pakman (Ben-Gurion University)
Fabrizio Pittorino (Bocconi)
Stefano Sarao Mannelli (Gatsby & SWC Universtiy College London)
Inbar Seroussi (Tel-Aviv University)
Jamie Simon (UC Berkeley)
Umberto Tomasini (EPFL)
Jacob Zavatone-Veth (Harvard)

List of Participants

Urte Adomaityte (King's College)
Scott Armstrong (NYU Courant)
Luca Arnaboldi (EPFL)
Freya Behrens (EPFL)
Pierfrancesco Beneventano (Princeton)
Stefan Boettcher (Emory)
Blake Bordelon (Harvard)
Brujic Jasna (NYU)
Zhengdao Chen (Google)
Lucas Clarte (EPFL)
Hugo Cui (EPFL)
Alex Damian (Princeton)
Yatin Dandi (EPFL)
Anna Dawid (Flatiron)
Elizaveta Demyanenko (Bocconi)
Daniil Dmitriev (ETH Zurich)
Odilon Duranthon (EPFL)
Kirsten Fischer (Juelich Research Center)
Federica Gerace (SISSA Trieste)
Davide Ghio (EPFL)
Mortiz Haas (University of Tübingen)
Mengjian Hua (NYU Courant)
Brice Huang (MIT)
Chris Jones (Bocconi)
Nirmit Joshi (Toyota Technological Institute Chicago)
Christian Keup (EPFL)
Justin Ko (ENS Lyon)
Clarissa Lauditi (Politecnico Turin)
Noam Levi (Tel Aviv University)
Mufan Li (University of Toronto)
Stephan Ludovic (EPFL)
Pierre Mergny (EPFL)
Jean-Christophe Mourrat (ENS Lyon and CNRS)
Aris Moustakas (National Kapodistrian University of Athens)
Matteo Negri (Rome La Sapienza)
Ari Pakman (Ben-Gurion University)
Luca Pesce (EPFL)
Koubbi Hugo (EPFL)
Arianna Piana (Weizmann Institute)
Giovanni Piccioli (EPFL)
Vanessa Piccolo (ENS Lyon)
Fabrizio Pittorino (Bocconi)
Riccardo Rossetti (Duke)
Mahalakshmi Sabanayagam (TU Munich)
Stefano Sarao Mannelli (Gatsby & SWC Universtiy College London)
Christoph Schönle (École Polytechnique (CMAP))
Inbar Seroussi (Tel-Aviv University)
Cheng Shi (University of Basel)
Jamie Simon (UC Berkeley)
Sylvia Serfaty (NYU Courant Institut)
Umberto Tomasini (EPFL)
Emanuele Troiani (EPFL)
Nikolaos Tsilivis (NYU)
Aditya Varre (EPFL)
Rodrigo Veiga (EPFL)
Maksim Velikanov (Technology Innovation Institute)
Matteo Vilucchio (EPFL)
Atsushi Yamamura (Stanford)
Jacob Zavatone-Veth (Harvard)
Alexander Zlokapa (MIT)