October 4th - 5th, 2025

Workshop on Neural Simulation-Based Inference
Neural simulation-based inference (neural SBI) has led to a recent paradigm shift in statistical inference across fields ranging from astronomy and particle physics to climate and environmental science. The goal of this workshop is to bring together researchers in neural SBI who have so far been largely siloed within disjoint communities. We expect that this will lead to cross-pollination of ideas across these communities to facilitate the next advances in neural SBI and its applications.

Featured Speakers Include

• Kyle Cranmer (University of Wisconsin-Madison)
• Gaia Grosso (Massachusetts Institute of Technology)
• Patrick Heimbach (University of Texas at Austin)
• Stefan Radev (Rensselaer Polytechnic Institute)
• Joel Leja (The Pennsylvania State University)
• Barnabas Poczos (Carnegie Mellon University)
• Reetam Majumder  (University of Arkansas)
• Bingjie Wang (Princeton University)
• Larry Wasserman (Carnegie Mellon University)
• Minge Xie (Rutgers University)
• Andrew Zammit-Mangion (University of Wollongong)