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AI and Quantum Information for Particle Physics

14–17 Nov 2023
Asia/Seoul timezone

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Session

Machine Learning

15 Nov 2023, 14:00

Conveners

Machine Learning

  • Lukas Heinrich (echnical University Munich)

Machine Learning

  • Anindita Maiti (Perimeter Institute)

Machine Learning

  • Michael A. Kagan (SLAC)

Machine Learning

  • Minho SON (Korea Advanced Institute of Science and Technology)

Presentation materials

There are no materials yet.

  1. 9. Constructing Novel Nonparametric Estimators for f-divergences and Its Applications to High-energy Physics
    Dr Yung-Kyun Noh (Hanyang University)
    15/11/2023, 14:00

    Nonparametric methods, such as nearest neighbor and kernel methods, can offer simple and parallelizable algorithms without the need for manual structure tunning. However, these methods may suffer from severe performance degradation due to biases from the high-dimensionality of data. I will introduce recently derived equations for understanding and addressing the high-dimensional bias and...

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  2. 10. Scalar and Grassmann Neural Network Field Theories
    Dr Anindita Maiti (Perimeter Institute)
    15/11/2023, 15:30

    Neural Networks (NN), the backbones of Deep Learning, define field theories through output ensembles at initialization. Certain limits of NN architecture give rise to free field theories via Central Limit Theorem (CLT), whereas other regimes give rise to weakly coupled, and non-perturbative field theories, via small, and large deviations from CLT, respectively. I will present a systematic...

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  3. 7. Towards Building Large HEP Models with Self-Supervised Learning
    Dr Michael A. Kagan (SLAC)
    16/11/2023, 10:00
  4. 8. The Vision of End-to-End ML models in HEP
    Dr Lukas Heinrich (echnical University Munich)
    16/11/2023, 11:30
  5. 27. Why autoencoders fail at anomaly detection and what we can do about it
    Dr Sangwoong Yoon (KIAS-AI)
    16/11/2023, 14:00
  6. 22. Mixture Density Network for Neutrino Reconstruction in Collider Physics
    Dr SeungJin Yang (Kyung Hee University)
    17/11/2023, 10:00
  7. 23. Exploring local and global feature integration in Multi-Model Deep Neural Networks
    Ms Kayoung Ban (Yonsei University)
    17/11/2023, 10:40
  8. 13. TBA
  9. 14. TBA
    Dr Minho Son (KAIST)
  10. 15. TBA
    Dr Jong-Wan Lee (CTPU-IBS)
  11. 16. TBA
    Myeonghun Park (Seoul National University of Science and Technology)
  12. 24. TBA
  13. 25. TBA
  14. 26. TBA
    Minho SON (Korea Advanced Institute of Science and Technology)
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