Name: IML Machine Learning Working Group: constraining theory parameters with ML
Start: 2018-08-30T15:00:00+02:00
End: 2018-08-30T18:00:00+02:00
Location: CERN

- 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

IML Machine Learning Working Group: constraining theory parameters with ML

500/1-001 - Main Auditorium

CERN