WORKSHOP DAILY ITINERARY
Please note that all times listed for the events are US Eastern Daylight Time
Saturday October 4th, 2025
8:30 AM |
Registration |
9:00 AM |
Welcome & Introductory Remarks [View Recording] [View Slideshow] |
9:15 AM |
Keynote Talk - Kyle Cranmer, University of Wisconsin Madison Title: “Navigating the design space of SBI” [View Recording] [View Slideshow] |
10:15 AM |
Coffee Break |
10:45 AM |
Invited Talk - Stefan Radev, Rensselaer Polytechnic Institute Title: “Composing the score for stable and simulation-efficient amortized inference at scale” [View Slideshow] |
11:25 AM |
Invited Talk - Barnabas Poczos, Carnegie Mellon University Title: “Diffusion Models for Science: Progress, Challenges, and Open Questions” [View Recording] [View Slideshow] |
12:05 PM |
Lunch |
1:25 PM |
Keynote Talk - Andrew Zammit-Mangion, University of Wollongong Title: “Neural SBI for spatial and spatio-temporal statistical models” [View Recording] [View Slideshow] |
2:25 PM |
Workshop Group Photo |
2:35 PM |
Poster Session 1 & Coffee Break |
3:50 PM |
Invited Talk - Minge Xie, Rutgers University Title: “Repro Samples and Fisher Inversion: A Framework for Solving Finite-Sample and Irregular Inference Challenges” [View Recording] [View Slideshow] |
Sunday October 5th, 2025
9:00 AM |
Keynote Talk - Joel Leja, The Pennsylvania State University Title: "Rapid inference of galaxy properties in the age of deep and large-scale surveys of the universe" [View Recording] [View Slideshow] |
10:00 AM |
Coffee Break |
10:30 AM |
Invited Talk - Bingjie Wang, Princeton University Title: “Simulation-based Inference for Galaxy Properties: Speed, Coverage, and New Physics” [View Recording] [View Slideshow] |
11:10 AM |
Invited Talk - Reetam Majumder, University of Arkansas Title: “Vecchia approximated density regression for spatial models with intractable likelihoods” [View Recording] [View Slideshow] |
11:50 AM |
Lunch |
1:15 PM |
Keynote Talk - Larry Wasserman, Carnegie Mellon University Title: “SBI at CMU” [View Recording] [View Slideshow] |
2:15 PM |
Poster Session 2 & Coffee Break |
3:30 PM |
Invited Talk - Patrick Heimbach, University of Texas at Austin Title: "Differentiable programming for hybrid data assimilation & machine learning” [View Recording] [View Slideshow] |
4:10 PM |
Invited talk - Gaia Grosso, Massachusetts Institute of Technology Title: “From high dimensions to statistical discovery: anomaly detection at scale in the era of latent spaces”. [View Recording] [View Slideshow] |