Welcome & Intro

• Lukas Alexander Heinrich (Technische Universitat Munchen (DE))

The frontiers of simulation-based inference (Part 1)

• Gilles Louppe

The frontiers of simulation-based inference (Part 2)

• Kyle Stuart Cranmer (University of Wisconsin Madison (US))

A Statistical Perspective on SBI

• Paul Bürkner

The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology

• Juan L. Gamella

Diagnostics in SBI

• Julia Linhart

Simulation-based Inference in Astrophysics

• Francesca Capel (Max Planck Institute for Physics)

Beergarden

SBI in HEP Meets Reality

• Alexander Held (University of Wisconsin Madison (US))

Practical SBI for Measurements at the LHC

• Jay Ajitbhai Sandesara (University of Massachusetts (US))

Precision systematics for unbinned hypothesis tests

• Robert Schoefbeck (Austrian Academy of Sciences (AT))

Dataset-wide inference in the presence of systematic uncertainties

• Philipp Windischhofer (University of Chicago (US))

SBI Cosmo

• Laurence Perreault Levasseur

Robust Bayesian Inference for Simulator-based Models

• Harita Dellaporta

Model Misspecification and SBI

• Antoine Wehenkel

Goodness-of-Fit in SBI

• Noemi Anau Montel

PolySwyft: a sequential simulation-based nested sampler

• Will Handley

Enabling ML Techniques for SBI I

• Jakub Tomczak

Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation

• Guy Moss

SBI Tools

• Christoph Weniger

Frequentist Topics in SBI

• Ann Lee (Carnegie Mellon University)

Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference

• Luca Masserano

Neural Simulation-Based Inference of the Neutron Star Equation of State directly from Telescope Spectra

• Len Brandes (Technical University of Munich)

Physics Impressions

• Aishik Ghosh (University of California Irvine (US))

Stats/ML Impressions

• Mikael Kuusela (Carnegie Mellon University (US))

Closeout

• Lukas Alexander Heinrich (Technische Universitat Munchen (DE))