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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
Videoconference Rooms
IML-MachineLearning-WG
Name
IML-MachineLearning-WG
Description
Vidyo room for the IML machine learning working group
Extension
10453344
Owner
Steven Schramm
Auto-join URL
Useful links
Phone numbers
    • 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))
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