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

Session

Morning session 2

25 Sept 2023, 11:00

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)

25/09/2023, 11:00

6. Neural Quantum States for Neutron Stars

Bryce Fore (Argonne)

25/09/2023, 11:30

7. Applications of machine-learned flows to lattice QCD

Daniel Hackett (MIT)

25/09/2023, 12:00

12. Boostin Loop Amplitudes and Event Generation with Precision Networks

Anja Butter (Heidelberg)

26/09/2023, 09:00

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

Tianji Cai (SLAC)

26/09/2023, 09:30

14. Extracting physics and examining observable sensitivity via Bayesian Inference

Raymond Ehlers (Lawrence Berkeley National Laboratory/UC Berkeley)

26/09/2023, 10:00

15. Accelerated Monte Carlo methods from machine learning

Yukari Yamauchi (University of Washington)

26/09/2023, 11:00

16. Simulating EIC electron-proton events with diffusion models

Peter Devlin (JLab)

26/09/2023, 11:30

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

Dimitris Athanasakos (Stony Brook)

26/09/2023, 12:00