Speaker
Felix Ringer
(Stony Brook University)
Description
The rapid progress in AI/ML has led to numerous applications in theoretical nuclear physics, often transforming how we carry out calculations and analyze data. I will review recent developments, including generative modeling of collider events, simulation-based inference at the event level, and novel search strategies for physics beyond the Standard Model. These techniques are relevant to current experiments at CEBAF, RHIC, and the LHC, as well as the future Electron-Ion Collider.
Author
Felix Ringer
(Stony Brook University)