International School - Statistical Physics and Machine Learning back together - Cargèse International School 2018 - August 21-31, 2018
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last edited by Geo-Sci-Info
OFFICIAL WEBSITE - PROGRAM
POSTERThe main goal of this program is to gather the community of researchers working on questions that relate in some way statistical physics and high dimensional statistical inference. The format will be several (~10) 3h introductory lectures, and about twice as many contributed invited talks. The topics include:
- Energy/loss landscapes in disordered systems, machine learning and inference problems
- Computational and statistical thresholds and trade-offs
- Theory of artificial multilayer neural networks
- Rigorous approaches to spin glasses and related models of statistical inference
- Parallels between optimisation algorithms and dynamics in physics
- Vindicating the replica and cavity method rigorously
- Current trends in variational Bayes inference
- Message passing algorithms
- Applications on machine learning in condensed matter physics
- Information processing in biological systems
Deadline Registration : February 28, 2018
Lecturers
- Gerard Ben Arous (Courant Institute)
- Giulio Biroli (CEA Saclay, France)
- Nicolas Brunel (Duke University)
- Yann LeCun (Courant Institute and Facebook)
- Michael Jordan (UC Berkeley)
- Stephane Mallat (ENS et college de France)
- Andrea Montanari (Stanford)
- Dmitry Panchenko (University of Toronto, Canada)
- Sundeep Rangan (New York University)
- Riccardo Zecchina (Politecnico Turin, Italy)
Speakers
- Antonio C Auffinger (Northwestern University, USA)
- Afonso Bandeira (Courant Institute, USA)
- Jean Barbier (Queens Mary, UK)
- Quentin Berthet (Cambridge UK)
- Jean-Philippe Bouchaud (CFM Paris, France)
- Silvio Franz (Paris-Orsay, France)
- Surya Ganguli (Stanford, USA)
- Alice Guionnet (ENS Lyon, France)
- Aukosh Jagganath (Harvard, USA)
- Yoshiyuki Kabashima (Tokyo Tech, Japan)
- Christina Lee (Microsoft Research, USA)
- Marc Lelarge (ENS Paris, France)
- Marc Mezard (ENS Paris, France)
- Leo Miolane (ENS Paris, France)
- Remi Monasson (ENS Paris, France)
- Giorgio Parisi (Roma La Sapienza, Italy)
- Will Perkins (University of Birmingham, UK)
- Federico Ricci-Tersenghi (Roma La Sapienza, Italy)
- Cythia Rush (Columbia, USA)
- Levent Sagun (CEA Saclay, France)
- Samuel S. Schoenholz (Google Brain, USA)
- David Jason Schwab (CUNY, USA)
- Guilhem Semerjian (ENS Paris, France)
- Alexandre Tkatchenko (University of Luxembourg)
- Naftali Tishby (Hebrew University, Israel)
- Pierfrancesco Urbani (CEA Saclay, France)
- Francesco Zamponi (ENS Paris, France)
Organizing Committee
- Florent Krzakala (ENS & UPMC, Paris)
- Lenka Zdeborova (CEA & CNRS, Saclay)
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last edited byI appreciate your goal this is a very good program to gather a community of researchers I also know some of the researchers from MindEdge and they are more likely involve in machine learning and some of them are interested in statistical physics kidly, consider them in your program.
