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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.

Videoconference
IML Machine Learning Working Group
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Zoom Meeting ID
96543252431
Host
Simon Akar
Alternative hosts
Riccardo Torre, Fabio Catalano
Useful links
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Zoom URL
    • 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
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