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 closed

Invited speakers

  • 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)