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Glühwein Workshop 2024 @ KIT

Dec 16 – 18, 2024
Europe/Berlin timezone

Contribution List

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  1. 7. Welcome
    Markus Klute
    12/16/24, 10:00 AM
  2. 8. Universal New Physics Latent Space
    Tore von Schwartz (Uni Hamburg)
    12/16/24, 10:20 AM
  3. 9. Anomaly detection with CMS
    Chitrakshee Yede
    12/16/24, 11:00 AM
  4. 4. Using machine learning to search for scalar lepton partners at the LHC
    Patrick Stengel (Ljubljana)
    12/16/24, 12:10 PM
  5. 5. AIDO: A Software Package for the Optimization of Continuous and Discrete Detectorparameters using Surrogate Models
    Kylian Schmidt
    12/16/24, 1:50 PM
  6. 6. ML-enhanced optimal detector design with mutual information
    Kinga Anna Wozniak (Geneva)
    12/16/24, 2:30 PM
  7. 23. The Landscape of Unfolding with Machine Learning
    Nathan Huetsch (Heidelberg)
    12/16/24, 3:10 PM
  8. 1. Guided tours
    12/16/24, 4:20 PM

    Option 1) GridKa
    Option 2) KATRIN
    Option 3) Forschungsreaktor 2
    Each option has a capacity of 20 people. Details on meeting points, etc. during the introduction.

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  9. 2. End-to-End Multi-Track Reconstruction using Graph Neural Networks at Belle II
    Lea Reuter (Karlsruhe Institute of Technology (KIT))
    12/17/24, 9:00 AM

    https://arxiv.org/abs/2411.13596

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  10. 3. Real-time clustering with GNNs - first operational experience
    Isabel Haide (Karlsruher Institut für Technologie), Marc Neu
    12/17/24, 9:40 AM
  11. 10. What theorists can teach experimentalists about calorimeter calibration
    Lorenz Vogel (Heidelberg)
    12/17/24, 10:50 AM
  12. 11. Generative Models for Detector Simulation
    William Korcari (Uni Hamburg)
    12/17/24, 11:30 AM
  13. 12. Calorimeter Simulation with Foundation Models
    Henning Rose (Uni Hamburg)
    12/17/24, 12:10 PM
  14. 13. The fundamental limit of jet tagging
    Alexander Mück (Aachen)
    12/17/24, 2:20 PM

    2411.02628 [hep-ph]

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  15. 14. How to Unfold Top Decays
    Sofia Palacios-Schweizer (Heidelberg)
    12/17/24, 3:00 PM
  16. 15. Applying 1-Bit Networks to High Energy Physics
    Daohan Wang (HEPHY)
    12/17/24, 4:20 PM
  17. 16. Accurate and robust methods for direct background estimation in resonant anomaly detection
    Marie Hein (Heidelberg)
    12/17/24, 5:00 PM
  18. 22. NN-Taylor Coefficient Analyse (TCA)
    Lars Sowa (KIT)
    12/18/24, 9:00 AM
  19. 21. Systematic-aware training
    Artur Monsch (KIT)
    12/18/24, 9:40 AM
  20. 17. Methods to Infer the Composition of Ultra-High Energy Cosmic Rays
    Blaž Bortolato (Ljubljana)
    12/18/24, 10:50 AM
  21. 19. Lorentz-Equivariant Geometric Algebra Transformers
    Jonas Spinner
    12/18/24, 11:30 AM
  22. 20. Farewell
    Markus Klute
    12/18/24, 12:10 PM
  23. 18. The Landscape of Unfolding with Machine Learning
    Nathan Huetsch (Heidelberg)