IML Machine Learning Working Group: constraining theory parameters with ML
Thursday 30 Aug 2018, 15:00
→
18:00
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
Watch
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)
)
pseyfert.pdf
15:15
→
16:00
Learning the likelihood function: moving from classification to inference
45m
Speaker
:
Kyle Stuart Cranmer
(
New York University (US)
)
arxiv:1805.00013
arxiv:1805.00020
IML-learning-likelihood.pdf
16:00
→
16:30
Learning (from) high-dimensional models: PhenoAI and Active Learning
30m
Speaker
:
Mr
Bob Stienen
(
Radboud University Nijmegen
)
Learning (from) High-dimensional Models.pdf
16:35
→
16:45
DarkMachines
10m
Speaker
:
Roberto Ruiz De Austri
(
Instituto de Fisica Corpuscular (ES)
)
darkmachines.pdf