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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.

    • 3:00 PM → 3:05 PM
      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
    • 3:05 PM → 3:30 PM
      The EFT measurement problem 25m
      Speaker: Gauthier Durieux (CERN)
      durieux-iml-13jul21.pdf
      Video
    • 3:30 PM → 3:35 PM
      Question time 5m
    • 3:35 PM → 4:00 PM
      ML4EFT - Hypothesis testing with neural networks 25m
      Speaker: Jonas Rubenach (Deutsches Elektronen-Synchrotron (DE))
      slides.pdf
      Video
    • 4:00 PM → 4:05 PM
      Question time 5m
    • 4:05 PM → 4:30 PM
      Parametrised classifiers for optimal EFT sensitivity 25m
      Speaker: Siyu Chen (EPFL - Ecole Polytechnique Federale Lausanne (CH))
      Parametrised_Classifiers_Siyu_Chen.pdf
      Video
    • 4:30 PM → 4:35 PM
      Question time 5m
    • 4:35 PM → 4:50 PM
      Weight derivative regression and EFT parameter fits 15m
      Speaker: Andrea Valassi (CERN)
      20210713-IML-WDR-AV-v2b.pdf
      20210713-IML-WDR-AV-v2b.pptx
    • 4:50 PM → 4:55 PM
      Question time 5m
    • 4:55 PM → 5:10 PM
      ThickBrick: optimal event selection and categorization in high energy physics 15m
      Speaker: Prasanth Shyamsundar (Fermi National Accelerator Laboratory)
      ThickBrick_Shyamsundar.pdf
      Video
    • 5:10 PM → 5:15 PM
      Question time 5m
    • 5:15 PM → 5:30 PM
      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
    • 5:30 PM → 5:35 PM
      Question time 5m