This 3-week meeting aims at gathering physicists and mathematicians working on stochastic sampling. The goal is to foster new interdisciplinary collaborations to address challenges encountered while sampling probability distributions presenting high-energy barriers and/or a large number of metastable states.
The challenges of metastability / slow mixing are faced by researchers working in a diverse range of fields in science, from fundamental problems in statistical mechanics to large-scale simulations of materials; in recent years significant progress has been made on several aspects, including :
By bringing together established experts and early-career researchers across a wide range of disciplines we aim to find new synergies to answer important and general questions, including:
The three week program will feature mornings of plenary and research talks, with afternoons largely allocated for discussion and collaboration.
To promote long-term and interdisciplinary collaborations, a focus of the afternoon sessions will be both the design and, importantly, implementation of benchmark problems for stochastic sampling. This will allow the relative strengths of available methods to be assessed in detail, and provide a concrete framework for collaborations. The final week will focus on using these benchmark problems to guide discussion on combining advances from different fields. The achieved work (original results and review articles) will be featured as a publication in Cahiers de l'Institut Pascal, published by EDP Sciences.
Colloquia, open to a broader general public, will be given by:
Plenary talks will be given by:
Research talks will be given by:
We look forward to seeing you in Paris!
Manon Michel, CNRS & Univ. Clermont Auvergne
Thomas Swinburne, CNRS & Univ. Aix-Marseille
Scientific committee: Alain Durmus (École Polytechnique), Virginie Ehrlacher (École des Ponts), Guilhem Lavaux (IAP), Mihai-Cosmin Marinica (CEA), Martin Weigel (Chemnitz Uni)