Machine Learning in High Energy Physics

ORAL · APR-H89 · ID: 3993398

Presentations

  • ORAL

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    Publication: [1] K. Metzger et al., "Anomaly Preserving Contrastive Neural Embeddings for End-to-End Model-Independent Searches at the LHC," arXiv:2502.15926 (2025). https://arxiv.org/abs/2502.15926

    [2] P. Harris et al., "Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models," arXiv:2403.07066 (2024). https://arxiv.org/abs/2403.07066

    [3] B. M. Dillon et al., "Physics-Inspired Data Augmentations for High-Energy Physics," arXiv:2301.04660 (2023). https://arxiv.org/abs/2301.04660

    [4] R. Dangovski et al., "Equivariant Contrastive Learning," arXiv:2111.00899 (2021). https://arxiv.org/abs/2111.00899

    [5] R. T. d'Agnolo et al., "Learning New Physics from an Imperfect Machine," arXiv:2111.13633 (2021). https://arxiv.org/abs/2111.13633

    [6] P. Khosla et al., "Supervised Contrastive Learning," arXiv:2004.11362 (2020). https://arxiv.org/abs/2004.11362

    [7] K. Metzger et al., "CL4AD: Contrastive Learning for Anomaly Detection," GitHub repository (2025). https://github.com/ksmetzger/cl4ad

    Presenters

    • Shelley Tong

      • Massachusetts Institute of Technology (MIT)

    Authors

    • Shelley Tong

      • Massachusetts Institute of Technology (MIT)

    • Gaia Grosso

      • Massachusetts Institute of Technology

    • Philip C Harris

      • MIT
      • Massachusetts Institute of Technology

    View abstract →

  • ORAL

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    Publication: Planned paper: Anomaly Detection in the CMS Level-1 Trigger in Run 3
    (AXOL1TL and CICADA)
    Planned paper: Model independent search for new physics with AXOL1TL
    anomaly detection triggered data

    Presenters

    • Natalie Bruhwiler

      • University of Colorado, Boulder

    Authors

    • Natalie Bruhwiler

      • University of Colorado, Boulder

    View abstract →

  • ORAL

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    Presenters

    • Max Cohen

      • University of Pennsylvania

    Authors

    • Max Cohen

      • University of Pennsylvania

    • Dylan S Rankin

      • University of Pennsylvania

    • Julia Gonski

      • SLAC National Accelerator Laboratory

    • Sagar Addepalli

      • SLAC National Accelerator Laboratory

    • Kenny Jia

      • SLAC National Accelerator Laboratory

    • Kaito Sugizaki

      • University of Pennsylvania

    View abstract →