IML Machine Learning Working Group: constraining theory parameters with ML

500/1-001 - Main Auditorium (CERN)

500/1-001 - Main Auditorium


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Agenda under development. If you like to present, please contact

There is a live webcast for this event
    • 15:00 15:10
      Introduction and news 10m
      Speakers: Lorenzo Moneta (CERN), Markus Stoye (Imperial College (GB)), Paul Seyfert (CERN), Rudiger Haake (Yale University (US)), Steven Schramm (Universite de Geneve (CH))
    • 15:15 16:00
      Learning the likelihood function: moving from classification to inference 45m
      Speaker: Kyle Stuart Cranmer (New York University (US))
    • 16:00 16:30
      Learning (from) high-dimensional models: PhenoAI and Active Learning 30m
      Speaker: Mr Bob Stienen (Radboud University Nijmegen)
    • 16:35 16:45
      DarkMachines 10m
      Speaker: Roberto Ruiz De Austri (Instituto de Fisica Corpuscular (ES))