PHYSTAT-SBI 2024 - Simulation Based Inference in Fundamental Physics

May 15, 2024, 9:00 AM → May 17, 2024, 6:40 PM 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:

Wed, May 15

9:00 AM → 9:30 AM Breakfast Coffee & Arrival

9:30 AM → 10:00 AM Welcome & Intro

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

PHYSTAT.pdf

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

Speaker: Gilles Louppe

talk-louppe.pdf

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

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

PhyStat-SBI-Munich-2024.pdf

2:00 PM → 3:00 PM A Statistical Perspective on SBI

Speaker: Paul Bürkner

statistical_perspective_on_sbi.pdf

3:00 PM → 3:30 PM The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology

Speaker: Juan L. Gamella

causal_chamber_phystat_2024.pdf

3:30 PM → 4:00 PM Coffee Break

4:00 PM → 5:00 PM Diagnostics in SBI

Speaker: Julia Linhart

DIAGNOSTICS_SBI_PHYSTAT_2024.pdf

5:00 PM → 6:00 PM Simulation-based Inference in Astrophysics

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

sbi-astro-capel.pdf

7:30 PM → 9:30 PM Beergarden

Thu, May 16

9:00 AM → 10:00 AM SBI in HEP Meets Reality

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

20240516_SBI_meets_reality_HEP (1).pdf

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

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

JaySandesara_PHYSTAT_SBI_2024.pdf

10:30 AM → 11:00 AM Coffee Break

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

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

2024_05_16_dataset_wide_sbi.pdf

2:00 PM → 3:00 PM SBI Cosmo

Speaker: Laurence Perreault Levasseur

3:00 PM → 3:30 PM Robust Bayesian Inference for Simulator-based Models

Speaker: Harita Dellaporta

phystat-SBI.pdf

3:30 PM → 4:00 PM Coffee Break

4:00 PM → 5:00 PM Model Misspecification and SBI

Speaker: Antoine Wehenkel

5:00 PM → 5:30 PM Goodness-of-Fit in SBI

Speaker: Noemi Anau Montel

5:30 PM → 6:00 PM PolySwyft: a sequential simulation-based nested sampler

Speaker: Dr Will Handley

will_handley_phystat_2024.pdf

6:00 PM → 7:00 PM Poster Session

Fri, May 17

9:00 AM → 10:00 AM Enabling ML Techniques for SBI I

Speaker: Jakub Tomczak

JM_Tomczak_talk.pdf

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

Speaker: Guy Moss

sourcerer.pdf

10:30 AM → 11:00 AM Coffee

11:00 AM → 12:00 PM SBI Tools

Speaker: Christoph Weniger

2:00 PM → 3:00 PM Frequentist Topics in SBI

Speaker: Ann Lee (Carnegie Mellon University)

PDF_draft1_Ann_Munich.pdf

3:00 PM → 3:30 PM Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference

Speaker: Luca Masserano

talk.pdf

3:30 PM → 4:00 PM 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

4:00 PM → 4:30 PM Coffee Break

4:30 PM → 5:00 PM Physics Impressions

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

PhyStat-SBI_Munich_17May2024.pdf

5:00 PM → 5:30 PM Stats/ML Impressions

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

Kuusela_Phystat-SBI_May_2024.pdf

5:30 PM → 6:00 PM Closeout

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