Workshop: Probing the Frontiers of Nuclear Physics with AI at the EIC

Session

Morning session 2

Sep 25, 2023, 11:00 AM

CFNS

Conveners

Morning session 2

• James Mulligan (UC Berkeley)

Morning session 2

• James Mulligan (UC Berkeley)

Morning session 2

• nobuo sato (Jefferson Lab)

5. Theory-driven Quantum Machine Learning for Colliders

Jack Araz (Durham)

9/25/23, 11:00 AM

6. Neural Quantum States for Neutron Stars

Bryce Fore (Argonne)

9/25/23, 11:30 AM

7. Applications of machine-learned flows to lattice QCD

Daniel Hackett (MIT)

9/25/23, 12:00 PM

12. Boostin Loop Amplitudes and Event Generation with Precision Networks

Anja Butter (Heidelberg)

9/26/23, 9:00 AM

13. Optimal Transport: From Jet Physics to Quark-Gluon Plasma

Tianji Cai (SLAC)

9/26/23, 9:30 AM

14. Extracting physics and examining observable sensitivity via Bayesian Inference

Raymond Ehlers (Lawrence Berkeley National Laboratory/UC Berkeley)

9/26/23, 10:00 AM

15. Accelerated Monte Carlo methods from machine learning

Yukari Yamauchi (University of Washington)

9/26/23, 11:00 AM

16. Simulating EIC electron-proton events with diffusion models

Peter Devlin (JLab)

9/26/23, 11:30 AM

17. Is IRC safe information all you need for jet classification?

Dimitris Athanasakos (Stony Brook)

9/26/23, 12:00 PM