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Machine learning for theories and theories of machine learning
From Sunday 29th September to Thursday 3rd October 2024
Machine learning and AI are revolutionizing the sciences, reshaping everything from how we ask questions to how we build theories. At the same time, the complexity of modern deep neural networks, datasets, and computational paradigms urges us to look for new perspectives to unravel their inner machinations.
This symposium will explore the interplay between deep learning, AI, statistical mechanics, neuroscience, scientific machine learning, and applied harmonic analysis. We will discuss how AI may crack outstanding scientific problems like earthquake dynamics or the multi-scale structure of images and language, but also how drawing on analytical and experimental wisdom from neuroscience, physics, biology, ...—fields that have long grappled with extraordinary complexities—can help us better understand AI itself.
Schedule (tentative)
Speakers
Stéphane Mallat — Collège de France/ENS
Maarten de Hoop — Rice University
Friedemann Zenke — FMI Basel
Afonso Bandeira — ETH Zurich
Misha Belkin — UCSD
Rava Azeredo da Silveira — CNRS / ENS / IOB
Mark Transtrum — Brigham Young University
Qin Li — University of Wisconsin
Julia Kempe — New York University
Chris Marone — La Sapienza / Penn State University
Marylou Gabrié — École Polytechnique
Eric Vanden-Eijnden — New York University
Matti Lassas — University of Helsinki
Steven Brunton — University of Washington
Paul Johnson — Los Alamos National Laboratory
Nicolas Flammarion — EPFL
Ryan Cotterell — ETH Zurich
Michael Mahoney — UC Berkeley
Mitya Chklovskii — Flatiron Institute/NYU Medical Center
Cengiz Pehlevan — Harvard University
Participant information
Participant information will be announced soon.
Organizers and sponsors
European Research Council
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Location
Grand Park Hotel Rovinj by Maistra Collection
Smareglijeva ulica 1A, 52210 Rovinj, Croatia