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

IML Machine Learning Working Group: constraining theory parameters with ML

Thursday 30 August 2018 - 15:00

Monday 27 August 2018
Tuesday 28 August 2018
Wednesday 29 August 2018
Thursday 30 August 2018
15:00 Introduction and news - Rudiger Haake (Yale University (US)) Markus Stoye (Imperial College (GB)) Steven Schramm (Universite de Geneve (CH)) Lorenzo Moneta (CERN) Paul Seyfert (CERN)
Introduction and news
- Rudiger Haake (Yale University (US))
- Markus Stoye (Imperial College (GB))
- Steven Schramm (Universite de Geneve (CH))
- Lorenzo Moneta (CERN)
- Paul Seyfert (CERN)
15:00 - 15:10
Room: 500/1-001 - Main Auditorium
15:15 Learning the likelihood function: moving from classification to inference - Kyle Stuart Cranmer (New York University (US))
Learning the likelihood function: moving from classification to inference
- Kyle Stuart Cranmer (New York University (US))
15:15 - 16:00
Room: 500/1-001 - Main Auditorium
16:00 Learning (from) high-dimensional models: PhenoAI and Active Learning - Bob Stienen (Radboud University Nijmegen)
Learning (from) high-dimensional models: PhenoAI and Active Learning
- Bob Stienen (Radboud University Nijmegen)
16:00 - 16:30
Room: 500/1-001 - Main Auditorium
16:35 DarkMachines - Roberto Ruiz De Austri (Instituto de Fisica Corpuscular (ES))
DarkMachines
- Roberto Ruiz De Austri (Instituto de Fisica Corpuscular (ES))
16:35 - 16:45
Room: 500/1-001 - Main Auditorium

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