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

    25–26 Sept 2023
    CFNS
    US/Eastern timezone

    Contact

    Session

    Morning session 2

    25 Sept 2023, 11:00
    CFNS

    CFNS

    Conveners

    Morning session 2

    • James Mulligan (UC Berkeley)

    Morning session 2

    • James Mulligan (UC Berkeley)

    Morning session 2

    • nobuo sato (Jefferson Lab)

    Presentation materials

    There are no materials yet.

    1. 5. Theory-driven Quantum Machine Learning for Colliders
      Jack Araz (Durham)
      25/09/2023, 11:00
    2. 6. Neural Quantum States for Neutron Stars
      Bryce Fore (Argonne)
      25/09/2023, 11:30
    3. 7. Applications of machine-learned flows to lattice QCD
      Daniel Hackett (MIT)
      25/09/2023, 12:00
    4. 12. Boostin Loop Amplitudes and Event Generation with Precision Networks
      Anja Butter (Heidelberg)
      26/09/2023, 09:00
    5. 13. Optimal Transport: From Jet Physics to Quark-Gluon Plasma
      Tianji Cai (SLAC)
      26/09/2023, 09:30
    6. 14. Extracting physics and examining observable sensitivity via Bayesian Inference
      Raymond Ehlers (Lawrence Berkeley National Laboratory/UC Berkeley)
      26/09/2023, 10:00
    7. 15. Accelerated Monte Carlo methods from machine learning
      Yukari Yamauchi (University of Washington)
      26/09/2023, 11:00
    8. 16. Simulating EIC electron-proton events with diffusion models
      Peter Devlin (JLab)
      26/09/2023, 11:30
    9. 17. Is IRC safe information all you need for jet classification?
      Dimitris Athanasakos (Stony Brook)
      26/09/2023, 12:00
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