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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.

    • 15:00 → 15:05
      News 5m
      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
    • 15:05 → 15:30
      The EFT measurement problem 25m
      Speaker: Gauthier Durieux (CERN)
      durieux-iml-13jul21.pdf
      Video
    • 15:30 → 15:35
      Question time 5m
    • 15:35 → 16:00
      ML4EFT - Hypothesis testing with neural networks 25m
      Speaker: Jonas Rubenach (Deutsches Elektronen-Synchrotron (DE))
      slides.pdf
      Video
    • 16:00 → 16:05
      Question time 5m
    • 16:05 → 16:30
      Parametrised classifiers for optimal EFT sensitivity 25m
      Speaker: Siyu Chen (EPFL - Ecole Polytechnique Federale Lausanne (CH))
      Parametrised_Classifiers_Siyu_Chen.pdf
      Video
    • 16:30 → 16:35
      Question time 5m
    • 16:35 → 16:50
      Weight derivative regression and EFT parameter fits 15m
      Speaker: Andrea Valassi (CERN)
      20210713-IML-WDR-AV-v2b.pdf
      20210713-IML-WDR-AV-v2b.pptx
    • 16:50 → 16:55
      Question time 5m
    • 16:55 → 17:10
      ThickBrick: optimal event selection and categorization in high energy physics 15m
      Speaker: Prasanth Shyamsundar (Fermi National Accelerator Laboratory)
      ThickBrick_Shyamsundar.pdf
      Video
    • 17:10 → 17:15
      Question time 5m
    • 17:15 → 17:30
      Learning EFT classification from tree boosting 15m
      Speaker: Robert Schoefbeck (Austrian Academy of Sciences (AT))
      21-07-12 Learning EFT from tree boosting.pdf
      Video
    • 17:30 → 17:35
      Question time 5m