Name: Workshop: Probing the Frontiers of Nuclear Physics with AI at the EIC
Start: 2023-09-25T08:00:00-04:00
End: 2023-09-26T19:00:00-04:00
Location: CFNS

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

from Monday, 25 September 2023 (08:00) to Tuesday, 26 September 2023 (19:00)

Monday, 25 September 2023
08:55 Morning session 1
Morning session 1
08:55 - 10:30
Contributions

08:55 Introduction - Felix Ringer (JLab/ODU)

09:00 How uncertain your DIS events are? Event-level UQ with Bayesian DL - Cristiano Fanelli (W&M)

09:30 Challenges and Progress towards Applying AI/ML methods on Experimental Data - Yihui Ren (BNL)

10:00 Machine Learning assisted Lepton-Jet asymmetries at H1 & AI Detector Co-Design for the EIC - Fernando Torales - Acosta (LBNL)
10:30 coffee break
coffee break
10:30 - 11:00
11:00
11:00 - 12:30
Contributions

11:00 Theory-driven Quantum Machine Learning for Colliders - Jack Araz (Durham)

11:30 Neural Quantum States for Neutron Stars - Bryce Fore (Argonne)

12:00 Applications of machine-learned flows to lattice QCD - Daniel Hackett (MIT)
12:30 Lunch
Lunch
12:30 - 14:30
14:30
14:30 - 15:30
Contributions

14:30 Developing expressive ML models for scaling lattice QCD - Denis Boyda (MIT)

15:00 Scalar field theories via neural networks at initialization - Anindita Maiti (Perimeter)
15:30 coffee break
coffee break
15:30 - 16:00
16:00
16:00 - 17:00
Contributions

16:00 Entanglement and thermalization in pair creation - Adrien Florio (BNL)

16:30 Multi-differential Jet Substructure Measurement in electron-proton Collisions - Vinicius Mikuni (LBNL)
18:30 Dinner: Curry Club @ Saghar
Dinner: Curry Club @ Saghar
18:30 - 20:30
Tuesday, 26 September 2023
09:00
09:00 - 10:30
Contributions

09:00 Boostin Loop Amplitudes and Event Generation with Precision Networks - Anja Butter (Heidelberg)

09:30 Optimal Transport: From Jet Physics to Quark-Gluon Plasma - Tianji Cai (SLAC)

10:00 Extracting physics and examining observable sensitivity via Bayesian Inference - Raymond Ehlers (Lawrence Berkeley National Laboratory/UC Berkeley)
10:30 coffee break
coffee break
10:30 - 11:00
11:00
11:00 - 12:30
Contributions

11:00 Accelerated Monte Carlo methods from machine learning - Yukari Yamauchi (University of Washington)

11:30 Simulating EIC electron-proton events with diffusion models - Peter Devlin (JLab)

12:00 Is IRC safe information all you need for jet classification? - Dimitris Athanasakos (Stony Brook)
12:30 Lunch
Lunch
12:30 - 14:30
14:30
14:30 - 16:00
Contributions

14:30 Reconstructing Parton Structure from Lattice QCD - Joe Karpie (JLab)

15:00 Covariant Extension of Generalized Parton Distributions using Artificial Neural Networks - Pietro Dall’Olio (UNAM)

15:30 The QuantOM Event-Level Inference Framework - Daniel Lersch (JLab)
16:00 coffee break
coffee break
16:00 - 16:30