Simulation-Based Inference - Status and Outlook

Wednesday 21 Jan 2026, 17:30 → 18:30 Europe/Zurich

42/R-024 (CERN)

Simulation-Based Inference, or SBI refers to the emerging set of tools and techniques that allows statistical inference directly using high-dimensional data. At IRIS-HEP we are driving an effort to build an ecosystem of tools that facilitate SBI analysis within ATLAS and CMS collaborations.

This topical meeting aims to bring together interested community to build familiarity with the ongoing effort and tools as well as help drive the future directions most useful for ongoing and planned analysis. It is primarily aimed to bring together the part of the community that is actively developing or is interested in helping develop SBI tools and techniques.

The initial talk will cover the fundamental concepts of SBI, followed by an overview on the current status of the library of tools being developed. This will be followed by a group discussion.

17:30 → 18:00 Overview Talk

Speaker: Jay Ajitbhai Sandesara (University of Wisconsin Madison (US))

NSBI library Git

SBI_TopicalMeeting_IRISHEP.pdf

18:00 → 18:30 Discussion