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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

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Description

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

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    • 1
      Introduction and news
      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
    • 2
      Learning the likelihood function: moving from classification to inference
      Speaker: Kyle Stuart Cranmer (New York University (US))
      arxiv:1805.00013
      arxiv:1805.00020
      IML-learning-likelihood.pdf
    • 3
      Learning (from) high-dimensional models: PhenoAI and Active Learning
      Speaker: Mr Bob Stienen (Radboud University Nijmegen)
      Learning (from) High-dimensional Models.pdf
    • 4
      DarkMachines
      Speaker: Roberto Ruiz De Austri (Instituto de Fisica Corpuscular (ES))
      darkmachines.pdf
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