PHYSTAT-SBI 2024 - Simulation Based Inference in Fundamental Physics

Name: PHYSTAT-SBI 2024 - Simulation Based Inference in Fundamental Physics
Start: 2024-05-15T09:00:00+02:00
End: 2024-05-17T18:40:00+02:00
Location: Max Planck Institute for Physics

15 May 2024, 09:00 → 17 May 2024, 18:40 Europe/Zurich

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

119 View full list

61486822942

Lukas Alexander Heinrich

Join via phone

Wednesday 15 May
- 09:00
  
  Breakfast Coffee & Arrival
- 1
  
  Welcome & Intro
  
  Speaker: Lukas Alexander Heinrich (Technische Universitat Munchen (DE))
  
  PHYSTAT.pdf
- 2
  
  The frontiers of simulation-based inference (Part 1)
  
  Speaker: Gilles Louppe
  
  talk-louppe.pdf
- 3
  
  The frontiers of simulation-based inference (Part 2)
  
  Speaker: Kyle Stuart Cranmer (University of Wisconsin Madison (US))
  
  PhyStat-SBI-Munich-2024.pdf
- 4
  
  A Statistical Perspective on SBI
  
  Speaker: Paul Bürkner
  
  statistical_perspective_on_sbi.pdf
- 5
  
  The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology
  
  Speaker: Juan L. Gamella
  
  causal_chamber_phystat_2024.pdf
- 15:30
  
  Coffee Break
- 6
  
  Diagnostics in SBI
  
  Speaker: Julia Linhart
  
  DIAGNOSTICS_SBI_PHYSTAT_2024.pdf
- 7
  
  Simulation-based Inference in Astrophysics
  
  Speaker: Dr Francesca Capel (Max Planck Institute for Physics)
  
  sbi-astro-capel.pdf
- 8
  
  Beergarden
Thursday 16 May
- 9
  
  SBI in HEP Meets Reality
  
  Speaker: Alexander Held (University of Wisconsin Madison (US))
  
  20240516_SBI_meets_reality_HEP (1).pdf
- 10
  
  Practical SBI for Measurements at the LHC
  
  Speaker: Jay Ajitbhai Sandesara (University of Massachusetts (US))
  
  JaySandesara_PHYSTAT_SBI_2024.pdf
- 10:30
  
  Coffee Break
- 11
  
  Precision systematics for unbinned hypothesis tests
  
  Speaker: Robert Schoefbeck (Austrian Academy of Sciences (AT))
  
  new 24-05-16 SBI workshop - precision systematics.pdf
- 12
  
  Dataset-wide inference in the presence of systematic uncertainties
  
  Speaker: Philipp Windischhofer (University of Chicago (US))
  
  2024_05_16_dataset_wide_sbi.pdf
- 13
  
  SBI Cosmo
  
  Speaker: Laurence Perreault Levasseur
- 14
  
  Robust Bayesian Inference for Simulator-based Models
  
  Speaker: Harita Dellaporta
  
  phystat-SBI.pdf
- 15:30
  
  Coffee Break
- 15
  
  Model Misspecification and SBI
  
  Speaker: Antoine Wehenkel
- 16
  
  Goodness-of-Fit in SBI
  
  Speaker: Noemi Anau Montel
- 17
  
  PolySwyft: a sequential simulation-based nested sampler
  
  Speaker: Dr Will Handley
  
  will_handley_phystat_2024.pdf
- 18:00
  
  Poster Session
Friday 17 May
- 18
  
  Enabling ML Techniques for SBI I
  
  Speaker: Jakub Tomczak
  
  JM_Tomczak_talk.pdf
- 19
  
  Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation
  
  Speaker: Guy Moss
  
  sourcerer.pdf
- 10:30
  
  Coffee
- 20
  
  SBI Tools
  
  Speaker: Christoph Weniger
- 21
  
  Frequentist Topics in SBI
  
  Speaker: Ann Lee (Carnegie Mellon University)
  
  PDF_draft1_Ann_Munich.pdf
- 22
  
  Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference
  
  Speaker: Luca Masserano
  
  talk.pdf
- 23
  
  Neural Simulation-Based Inference of the Neutron Star Equation of State directly from Telescope Spectra
  
  Speaker: Len Brandes (Technical University of Munich)
  
  phystat2024_Brandes.pdf
- 16:00
  
  Coffee Break
- 24
  
  Physics Impressions
  
  Speaker: Aishik Ghosh (University of California Irvine (US))
  
  PhyStat-SBI_Munich_17May2024.pdf
- 25
  
  Stats/ML Impressions
  
  Speaker: Mikael Kuusela (Carnegie Mellon University (US))
  
  Kuusela_Phystat-SBI_May_2024.pdf
- 26
  
  Closeout
  
  Speaker: Lukas Alexander Heinrich (Technische Universitat Munchen (DE))

Choose timezone

PHYSTAT-SBI 2024 - Simulation Based Inference in Fundamental Physics

Max Planck Institute for Physics