Workshop on Neural Simulation-Based Inference
CMU Campus, Pittsburgh, PA (October 4-5, 2025)

The Statistical Methods for the Physical Sciences (STAMPS) Research Center at Carnegie Mellon University is organizing a weekend workshop on neural simulation-based inference on October 4-5, 2025. The workshop will take place in person at the CMU campus in Pittsburgh. A webcast for remote participants will also be available.

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.

The workshop will feature talks by leading researchers in neural SBI, poster contributions by junior researchers, and plenty of opportunities for interaction between the participants. Confirmed speakers include:

• Kyle Cranmer (University of Wisconsin-Madison)
• Gaia Grosso (Massachusetts Institute of Technology)
• Patrick Heimbach (University of Texas at Austin)
• Lukas Heinrich (Technical University of Munich)
• Brian Nord (Fermilab)
• Laurence Perreault-Levasseur (University of Montreal)
• Barnabas Poczos (Carnegie Mellon University)
• Brian Reich (North Carolina State University)
• Bingjie Wang (Pennsylvania State University)
• Larry Wasserman (Carnegie Mellon University)
• Minge Xie (Rutgers University)
• Andrew Zammit-Mangion (University of Wollongong)

The workshop is co-organized by Ann Lee and Mikael Kuusela on behalf of STAMPS@CMU.

Registration is now open! Registered participants will also have the opportunity to present a poster during the workshop. The different registration fees are as follows:

• In person, regular: $50
• In person, student: $25
• Remote, regular: $50
• Remote, student: $25