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Workshop on Machine Learning and High-Energy Physics

13–15 Dec 2023
Campus Akademie
Europe/Vienna timezone

Contribution List

19 out of 19 displayed
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  1. 1. Welcome and Organisatorical Remarks
    Dr Claudius Krause (HEPHY Vienna (ÖAW))
    13/12/2023, 09:00
  2. 2. Welcome to HEPHY
    Christoph Schwanda, Christoph Schwanda (Austrian Academy of Sciences (AT))
    13/12/2023, 09:05
  3. 3. Artificial Proto-Modelling: Building Precursors of a Next Standard Model from Simplified Model Results
    Wolfgang Waltenberger (Austrian Academy of Sciences (AT))
    13/12/2023, 09:15
  4. 4. Optimal operation of cryogenic calorimeters through deep reinforcement learning
    Felix Wagner (HEPHY Vienna), Felix Wagner (Vienna University of Technology)
    13/12/2023, 10:30
  5. 5. Machine learning for modern radio surveys
    Lara Alegre (Heildelberg University)
    13/12/2023, 11:15
  6. 6. A Survey of Machine Learning Methods for Anomaly Detection
    Radha Mastandrea (University of California, Berkeley), Radha Mastandrea (LBNL)
    13/12/2023, 14:00
  7. 7. Back To The Roots: Tree-Based Algorithms for Weakly Supervised Anomaly Detection
    Michael Kramer (Rheinisch Westfaelische Tech. Hoch. (DE))
    13/12/2023, 14:45
  8. 8. Semi-visible jets, energy-based models, and self-supervision
    Luigi Favaro
    13/12/2023, 16:00
  9. 9. Hunting for di-Higgs in hadronic final states: showcasing Machine Learning for modelling of hadronic backgrounds and elucidating rare signals
    Nicole Michelle Hartman (TUM (DE))
    13/12/2023, 16:45
  10. 10. Tree boosting for learning EFT parameters
    Dennis Schwarz (Austrian Academy of Sciences (AT))
    14/12/2023, 09:15
  11. 11. Generative Modelling of Calorimeter Showers and Particle Jets
    Thorsten Lars Henrik Buss (Universität Hamburg)
    14/12/2023, 10:30
  12. 12. ML applications in searches for long-lived particles at CMS
    Lisa Benato (Hamburg University (DE))
    14/12/2023, 11:15
  13. 13. The MadNIS Reloaded
    Theo Heimel (Universität Heidelberg), Theo Heimel (Heidelberg University)
    14/12/2023, 14:00
  14. 14. Machine learning methods & Ultra-High Energy Cosmic Rays
    Blaz Bortolato (Institute Josef Stefan)
    14/12/2023, 14:45
  15. 19. Flow Unfolding for CP-Observable Reconstruction
    Jona Ackerschott (Universite de Geneve (CH))
    14/12/2023, 16:00
  16. 17. High Multiplicity with JetGPT - LHC Event Generation with Autoregressive Transformers
    Jonas Simon Spinner
    15/12/2023, 09:00
  17. 15. (Direct) Diffusion for LHC Event Generation
    Sofia Palacios Schweitzer (ITP, University Heidelberg)
    15/12/2023, 10:30
  18. 16. Precision-Machine Learning for the Matrix Element Method
    Nathan Huetsch (Heidelberg University, ITP Heidelberg)
    15/12/2023, 11:15
  19. 18. Foundation Models for HEP
    Tobias Golling (Universite de Geneve (CH))