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Focused workshop on AI in High Energy Physics

6–7 Jan 2025
Asia/Seoul timezone

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Contribution List

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4. MadNIS - Towards the first ML event generator
Dr Ramon Winterhalder (Università degli Studi di Milano)
06/01/2025, 10:00
3. Generative Modeling is Imitation Learning
Dr Sangwoong Yoon (KIAS AI Center)
06/01/2025, 10:45
1. Mapping Dark Matter through the Dust of the Milky Way with Gaia DR3 and Normalizing Flows
Prof. David Shih (Rutgers University)
06/01/2025, 14:00
2. Learning for Galactic Dynamics: Neural Stellar Density Estimation for Mapping Dark Matter in the Local Universe
Dr Sung Hak Lim (IBS-CTPU (PTC))
06/01/2025, 14:45
5. LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning
Dr Raymundo Ramos (KIAS)
06/01/2025, 16:00
6. Missing information search with deep learning for mass estimation
Dr Kayoung Ban (KIAS)
06/01/2025, 16:30
7. Goodness-of-fit by Neyman-Pearson Testing
Prof. Andrea Wulzer (Barcelona, IFAE / ICREA, Barcelona)
07/01/2025, 10:00
8. Quantum Machine Learning
Myeonghun Park (Seoultech)
07/01/2025, 10:45
9. Top Quark Polarimetry with ParticleNet
Prof. Kyoungchul Kong (University of Kansas)
07/01/2025, 14:00
10. Three-Body Entanglement in Particle Decays
Prof. Kazuki Sakurai (University of Warsaw)
07/01/2025, 14:45
11. Detecting Light Fermiophobic Higgs Boson through CNN-based Diphoton Jet Analysis at the HL-LHC
Mrs Soo Jin Lee (Konkuk University,)
07/01/2025, 16:00

This talk presents a novel approach to detect a light fermiophobic Higgs boson (hf) with mass in the range of 1-10 GeV at the HL-LHC, focusing on the golden channel p p → hf H → γγγγℓν. Due to the highly collimated nature of photon pairs from hf decay, traditional detection methods face significant challenges as these photons manifest as single jets rather than isolated photons. We introduce...
12. Can A.I. Understand Hamiltonian Mechanics?
Tae-Geun Kim (Yonsei University)
07/01/2025, 16:30
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