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IML Machine Learning Working Group: constraining theory parameters with ML

→ Europe/Zurich
500/1-001 - Main Auditorium (CERN)

500/1-001 - Main Auditorium

CERN

400
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Description

Agenda under development. If you like to present, please contact iml.coordinators@cern.ch

Webcast
There is a live webcast for this event
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    • 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))
      pseyfert.pdf
    • 15:15 → 16:00
      Learning the likelihood function: moving from classification to inference 45m
      Speaker: Kyle Stuart Cranmer (New York University (US))
      arxiv:1805.00013
      arxiv:1805.00020
      IML-learning-likelihood.pdf
    • 16:00 → 16:30
      Learning (from) high-dimensional models: PhenoAI and Active Learning 30m
      Speaker: Mr Bob Stienen (Radboud University Nijmegen)
      Learning (from) High-dimensional Models.pdf
    • 16:35 → 16:45
      DarkMachines 10m
      Speaker: Roberto Ruiz De Austri (Instituto de Fisica Corpuscular (ES))
      darkmachines.pdf
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