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    IML Machine Learning Working Group

    → Europe/Zurich
    Virtual (zoom only)

    Virtual (zoom only)
    Description

    Meeting will be by video only on Zoom.

      • 1
        News
        Speakers: Andrea Wulzer (CERN and EPFL), David Rousseau (IJCLab-Orsay), Gian Michele Innocenti (CERN), Lorenzo Moneta (CERN), Loukas Gouskos (CERN), Dr Pietro Vischia (Universite Catholique de Louvain (UCL) (BE)), Riccardo Torre (INFN e Universita Genova (IT)), Simon Akar (University of Cincinnati (US))
        IML_Intro.pdf
      • 2
        The EFT measurement problem
        Speaker: Gauthier Durieux (CERN)
        durieux-iml-13jul21.pdf
        Video
      • 15:30
        Question time
      • 3
        ML4EFT - Hypothesis testing with neural networks
        Speaker: Jonas Rubenach (Deutsches Elektronen-Synchrotron (DE))
        slides.pdf
        Video
      • 16:00
        Question time
      • 4
        Parametrised classifiers for optimal EFT sensitivity
        Speaker: Siyu Chen (EPFL - Ecole Polytechnique Federale Lausanne (CH))
        Parametrised_Classifiers_Siyu_Chen.pdf
        Video
      • 16:30
        Question time
      • 5
        Weight derivative regression and EFT parameter fits
        Speaker: Andrea Valassi (CERN)
        20210713-IML-WDR-AV-v2b.pdf
        20210713-IML-WDR-AV-v2b.pptx
      • 16:50
        Question time
      • 6
        ThickBrick: optimal event selection and categorization in high energy physics
        Speaker: Prasanth Shyamsundar (Fermi National Accelerator Laboratory)
        ThickBrick_Shyamsundar.pdf
        Video
      • 17:10
        Question time
      • 7
        Learning EFT classification from tree boosting
        Speaker: Robert Schoefbeck (Austrian Academy of Sciences (AT))
        21-07-12 Learning EFT from tree boosting.pdf
        Video
      • 17:30
        Question time