AI4EIC 2023 Annual Workshop

Session

AI/ML for Data Analysis and Theory

29 Nov 2023, 14:00

Conveners

AI/ML for Data Analysis and Theory

• Brandon Kriesten (ANL)
• Vinicius Mikuni (Other@lbl.gov;Staff@lbl.gov;Member@lbl.gov)

20. The EXCLAIM collaboration approach to deeply virtual exclusive processes

simonetta liuti (university of virginia)

29/11/2023, 14:00

21. Decoding inverse problems in QCD with ML-based algorithms

Yaohang Li (Old Dominion University)

29/11/2023, 14:25

22. What can AI do for lattice-QCD parton distribution calculations?

Huey Wen (MSU)

29/11/2023, 14:50

7. Interpretable Machine Learning applications to Jet Background Subtraction

Charles Hughes (Iowa State University)

29/11/2023, 15:30

Reconstructing jets in heavy collisions has always required dealing with the challenges of a high background environment. Traditional techniques, such as the area based method, suffered from poor resolution at low momenta due to the large fluctuating background there. In recent years, the resolution has been improved by using machine learning to estimate the background. While machine learning...

24. High Dimensional Unfolding using Machine Learning

Benjamin Nachman

29/11/2023, 15:55

23. Hadronization Models Using Machine Learning

Manuel Szewc (University of Cincinnati)

29/11/2023, 16:20

25. Discussion

29/11/2023, 16:45