Inference and learning are becoming increasingly
important in many areas of science and engineering. Typically stated
in the framework of computer science, statistics, or information
theory, these problems are also linked to concepts and approaches
native to statistical physics. This interdisciplinary field has seen a
recent explosion of activity, resulting in new algorithms and new
methods of analysis. The aim of this workshop is to enforce research
on interface between these fields, with the focus on statistical
physics, by presentations of the most recent progress and discussions
of future directions. The workshop will include longer invited talks,
shorter contributed talks and plenty of time for discussions and
skiing in the French Alps.
Registration is open (until the end of November)
Invited speakers
- Emmanuel Abbe, Princeton, USA
- Afonso Bandeira, MIT, USA
- Jean Barbier, EPFL, Switzerland
- Amin Coja-Oghlan, Frankfurt, Germany
- Misha Chertkov, Los Alamos, USA
- Luca Dall'Asta, Torino, Italy
- Mike Davies, Edinburgh, UK
- Alyson Fletcher, UCLA, USA
- Surya Ganguli, Stanford, USA
- Remi Gribonval, INRIA, France
- Yoshiyuki Kabashima, Tokyo, Japan
- Marc Lelarge, INRIA, France
- Nicolas Macris, EPFL, Switzerland
- Marc Mézard, ENS, France
- Manfred Opper, Berlin, Germany
- Seewoong Oh, Urbana-Champaign, USA
- Will Perkins, Birmingham, UK
- Sundeep Rangan, NYU, USA
- Galen Reeves, Duke, USA
- Federico Ricci-Tersenghi, Roma, Italy
- Guilhem Semerjian, ENS, Paris
- Phil Schniter, Ohio, USA
- Yihong Wu, Illinois, USA
- Jiaming Xu, Purdue University USA
- Pan Zhang, Beijing, China
- Riccardo Zecchina, Torino, Italy
Organizing Committee
- Florent Krzakala (ENS, Paris)
- Lenka Zdeborova (CEA & CNRS, Saclay)