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