PHYSTAT-SBI 2024 - Simulation Based Inference in Fundamental Physics

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

Max Planck Institute for Physics

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))

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:

Wednesday, 15 May

09:00 → 09:30 Breakfast Coffee & Arrival

09:30 → 10:00 Welcome & Intro

Speaker: Lukas Alexander Heinrich (Technische Universitat Munchen (DE))

PHYSTAT.pdf

10:00 → 11:00 The frontiers of simulation-based inference (Part 1)

Speaker: Gilles Louppe

talk-louppe.pdf

11:00 → 12:00 The frontiers of simulation-based inference (Part 2)

Speaker: Kyle Stuart Cranmer (University of Wisconsin Madison (US))

PhyStat-SBI-Munich-2024.pdf

14:00 → 15:00 A Statistical Perspective on SBI

Speaker: Paul Bürkner

statistical_perspective_on_sbi.pdf

15:00 → 15:30 The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology

Speaker: Juan L. Gamella

causal_chamber_phystat_2024.pdf

15:30 → 16:00 Coffee Break

16:00 → 17:00 Diagnostics in SBI

Speaker: Julia Linhart

DIAGNOSTICS_SBI_PHYSTAT_2024.pdf

17:00 → 18:00 Simulation-based Inference in Astrophysics

Speaker: Dr Francesca Capel (Max Planck Institute for Physics)

sbi-astro-capel.pdf

19:30 → 21:30 Beergarden

Thursday, 16 May

09:00 → 10:00 SBI in HEP Meets Reality

Speaker: Alexander Held (University of Wisconsin Madison (US))

20240516_SBI_meets_reality_HEP (1).pdf

10:00 → 10:30 Practical SBI for Measurements at the LHC

Speaker: Jay Ajitbhai Sandesara (University of Massachusetts (US))

JaySandesara_PHYSTAT_SBI_2024.pdf

10:30 → 11:00 Coffee Break

11:00 → 11:30 Precision systematics for unbinned hypothesis tests

Speaker: Robert Schoefbeck (Austrian Academy of Sciences (AT))

new 24-05-16 SBI workshop - precision systematics.pdf

11:30 → 12:00 Dataset-wide inference in the presence of systematic uncertainties

Speaker: Philipp Windischhofer (University of Chicago (US))

2024_05_16_dataset_wide_sbi.pdf

14:00 → 15:00 SBI Cosmo

Speaker: Laurence Perreault Levasseur

15:00 → 15:30 Robust Bayesian Inference for Simulator-based Models

Speaker: Harita Dellaporta

phystat-SBI.pdf

15:30 → 16:00 Coffee Break

16:00 → 17:00 Model Misspecification and SBI

Speaker: Antoine Wehenkel

17:00 → 17:30 Goodness-of-Fit in SBI

Speaker: Noemi Anau Montel

17:30 → 18:00 PolySwyft: a sequential simulation-based nested sampler

Speaker: Dr Will Handley

will_handley_phystat_2024.pdf

18:00 → 19:00 Poster Session

Friday, 17 May

09:00 → 10:00 Enabling ML Techniques for SBI I

Speaker: Jakub Tomczak

JM_Tomczak_talk.pdf

10:00 → 10:30 Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation

Speaker: Guy Moss

sourcerer.pdf

10:30 → 11:00 Coffee

11:00 → 12:00 SBI Tools

Speaker: Christoph Weniger

14:00 → 15:00 Frequentist Topics in SBI

Speaker: Ann Lee (Carnegie Mellon University)

PDF_draft1_Ann_Munich.pdf

15:00 → 15:30 Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference

Speaker: Luca Masserano

talk.pdf

15:30 → 16:00 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 → 16:30 Coffee Break

16:30 → 17:00 Physics Impressions

Speaker: Aishik Ghosh (University of California Irvine (US))

PhyStat-SBI_Munich_17May2024.pdf

17:00 → 17:30 Stats/ML Impressions

Speaker: Mikael Kuusela (Carnegie Mellon University (US))

Kuusela_Phystat-SBI_May_2024.pdf

17:30 → 18:00 Closeout

Speaker: Lukas Alexander Heinrich (Technische Universitat Munchen (DE))