PHYSTAT-SBI 2024 - Simulation Based Inference in Fundamental Physics

Europe/Zurich
Max Planck Institute for Physics

Max Planck Institute for Physics

Boltzmannstr. 8 85748 Garching Germany
Lukas Alexander Heinrich (Technische Universitat Munchen (DE)), Louis Lyons (Imperial College (GB)), Olaf Behnke (Deutsches Elektronen-Synchrotron (DE)), Kyle Stuart Cranmer (University of Wisconsin Madison (US)), Michael Kagan (SLAC National Accelerator Laboratory (US)), Ann Lee (Carnegie Mellon University), François LANUSSE, Gilles Louppe, Mikael Kuusela (Carnegie Mellon University (US))
Description

Fueled by the recent advances of Machine Learning in the last decade, a new breed of techniques have been developed to tackle statistical inference problems for "likelihood-free" cases, where it is possible to sample from the data-generating process (i.e. via stochastic simulators) but a closed form evaluation of the density is intractable.

This group of methods is known as "simulation-based inference" (SBI) or "likelihood-free inference" (LFI) and will be the dedicated topic of this PHYSTAT Workshop taking place from May 15th - May 17th 2024 at the Max-Planck Institute for Physics (MPP) in Garching near Munich.

PHYSTAT https://phystat.github.io/Website/) is a long-running workshop series that brings together statisticians, machine learning researchers and physicists to discuss shared topics and foster collaboration among the research communities.

Confirmed Invited Speakers:

  • Kyle Cranmer (U Wisconsin-Madison)
  • Antoine Wehenkel (Apple)
  • Gilles Louppe (U Liège)
  • Laurence Perreault-Levasseur (U Montréal)
  • Ann Lee (Carnegie Mellon)
  • Julia Linhart (INRIA)
  • Noemi Montel (U of Amsterdam)
  • Jakub Tomczak (Eindhoven)
  • Christoph Weniger (GRAPPA)
  • Alexander Held (U Wisconsin-Madison)
  • Paul Bürkner (TU Dortmund)
  • Francesca Capel (MPP Munich)
  • Mikael Kuusela (Carnegie Mellon)
  • Aishik Ghosh (UC Irvine)

 

 

(Credit: Axel Griesch/MPP)

Acknowledgement

We gratefully acknowledge support from:

Participants
Zoom Meeting ID
61486822942
Host
Lukas Alexander Heinrich
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