Workshop : Machine Learning-Assisted Sampling for Scientific Computing – Applications in Physics

Historically, statistical mechanics has strongly influenced probabilistic modeling in Machine Learning (e.g. energy based models, diffusion based models …). The goal of this workshop is to explore how deep generative modelling impressive abilities can help in inference in large probabilistic models (e.g. building maps from simple to non-trivial distributions). This covers many applications: Bayesian inference speed up, MCMC acceleration, characterization of phase transitions, wave function manipulations, etc.

Dates of conference open to all :

  • 3-4 October 2022
  • Registration deadline : 16 September 2022

Conference registration 

 

Dates of organized discussions for invited participants :

  • 5-7 October 2022
  • By invitation only

 

Organizers

  • Valentin de Bortoli, Ecole Normale Supérieure, Paris
  • Marylou Gabrié, Ecole Polytechnique, Paris
  • Tony Lelièvre, Ecole Nationale des Ponts et Chaussées, Paris

 

Invited Speakers

  • David Aristoff, Colorado State University
  • Peter Bolhuis, University of Amsterdam
  • Freddy Bouchet, Ecole Normale Supérieure, Lyon
  • Maria K. Cameron, University of Maryland
  • Arnaud Doucet, University of Oxford
  • Stéphane Mallat, Ecole Normale Supérieure, Paris
  • Pierre Monmarché, Pierre and Marie Curie University (UPMC)
  • Jutta Rogal, New York University
  • Phiala Shanahan, Massachusetts Institute of Technology
  • Gabriel Stoltz, Ecole Nationale des Ponts et Chaussées, Paris
  • Jonathan Weare, New York University
  • Martin Weigt, Pierre and Marie Curie University (UPMC)
  • Wei Zhang, Zuse Institute Berlin

More information about the workshop: Machine Learning-Assisted Sampling for Scientific Computing – Applications in Physics

Schedule (coming soon)

 

Workshop Location

  • Monday and Tuesday: Collège de France - site Ulm (3 rue d'Ulm - 75005)
  • Wednesday to Friday: Centre de Sciences de Données - École Normale Supérieure - (45 rue d’Ulm - 75005)

 

Registration 

Conference registration 

  • Conference Registration deadline: 16 September 2022