09:00
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Opening Session
-Dr
Sergei Gleyzer
(University of Florida (US))
Steven Randolph Schramm
(Universite de Geneve (CH))
(until 13:00)
(500/1-001 - Main Auditorium)
|
09:00
|
Introduction to the workshop
-
Michele Floris
(CERN)
Sergei Gleyzer
(University of Florida (US))
Lorenzo Moneta
(CERN)
Steven Randolph Schramm
(Universite de Geneve (CH))
Paul Seyfert
(Universita & INFN, Milano-Bicocca (IT))
|
09:30
|
Introduction to the Industry Session on ML
|
09:50
|
Nvidia and ML
-
Piero Altoe
|
10:15
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Yandex and ML
-
Andrey Ustyuzhanin
(Yandex School of Data Analysis (RU))
|
10:39
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Announcements
|
10:45
|
--- Coffee break ---
|
11:15
|
Intel and ML
-
Hans Pabst
(Intel Corp.)
|
11:40
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IBM and ML
-
Graham Mackintosh
|
12:05
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Industry-HEP panel on Machine Learning
|
|
09:00
|
Identification and Tagging Mini-Workshop
-
Paul Seyfert
(Universita & INFN, Milano-Bicocca (IT))
Michele Floris
(CERN)
(until 13:00)
|
09:00
|
Session introduction
|
09:05
|
Jet reconstruction and heavy jet tagging at LHCb
-
Lorenzo Sestini
(Universita e INFN, Padova (IT))
|
09:45
|
Identification of Jets Containing b-Hadrons with Recurrent Neural Networks at the ATLAS Experiment
-
Daniel Hay Guest
(University of California Irvine (US))
|
10:10
|
Exploring neural networks to improve b-jet tagging with the ALICE detector
-
Rudiger Haake
(CERN)
|
10:35
|
DeepFlavour in CMS
-
Markus Stoye
(CERN)
|
11:00
|
--- Coffee break ---
|
11:30
|
Flavor Tagging with Deep Neural Networks at Belle II
-
Jochen Gemmler
(KIT/IEKP)
|
11:55
|
Inclusive tagging of B-flavour at LHCb [Vidyo]
-
Aleksei Rogozhnikov
(Yandex School of Data Analysis (RU))
|
12:20
|
Quark/gluon jet discrimination: a reproducible analysis using R
- Dr
Andrew Lowe
(Hungarian Academy of Sciences (HU))
|
|
09:00
|
Identification and Tagging Mini-Workshop
-
Steven Randolph Schramm
(Universite de Geneve (CH))
Sergei Gleyzer
(University of Florida (US))
(until 13:00)
|
09:00
|
Session introduction
|
09:05
|
Identification of Hadronically Decaying W Bosons and Top Quarks Using High-Level Features as Input to Boosted Decision Trees and Deep Neural Networks in ATLAS at 13 TeV
-
Ece Akilli
(Universite de Geneve (CH))
|
09:45
|
Deep-learning Top Taggers or The End of QCD?
-
Gregor Kasieczka
(Eidgenoessische Technische Hochschule Zuerich (CH))
|
10:10
|
Top tagging with deep neural networks [Vidyo]
-
Jannicke Pearkes
(University of British Columbia (CA))
|
10:35
|
Decorrelated Jet Substructure Tagging using Adversarial Neural Networks
-
Chase Owen Shimmin
(Yale University (US))
|
11:00
|
--- Coffee break ---
|
11:30
|
Deep Convolutional Networks for Event Reconstruction and Particle Tagging on NOvA and DUNE
-
Fernanda Psihas
(Indiana University)
|
12:10
|
Application of Generative Adversarial Networks (GANs) to jet images
-
Michela Paganini
(Yale University (US))
|
12:35
|
Using Boosted Decision Trees to look for displaced Jets in the ATLAS Calorimeter
-
Gordon Watts
(University of Washington (US))
|
|
13:00
|
--- Lunch ---
|
14:00
|
Machine Learning Software and Tools
-
Sergei Gleyzer
(University of Florida (US))
Lorenzo Moneta
(CERN)
(until 18:30)
|
14:00
|
Introduction to the session, CWP
-
Sergei Gleyzer
(University of Florida (US))
|
14:15
|
CWP discussion part 1
|
16:00
|
--- Coffee break ---
|
16:30
|
CWP discussion part 2
|
19:00
|
Reception
(until 21:00)
|
|
13:00
|
--- Lunch ---
|
14:00
|
ML Tutorials
-
Lorenzo Moneta
(CERN)
(until 16:00)
|
14:00
|
Tutorial 1: TMVA
-
Lorenzo Moneta
(CERN)
Sergei Gleyzer
(University of Florida (US))
|
15:00
|
Tutorial 2: Scikit-learn
-
Gilles Louppe
(New York University (US))
|
16:00
|
--- Coffee break ---
|
16:30
|
Identification and Tagging Mini-Workshop
-
Paul Seyfert
(Universita & INFN, Milano-Bicocca (IT))
Michele Floris
(CERN)
(until 20:00)
|
|
13:00
|
--- Lunch ---
|
14:00
|
ML Tutorials
-
Lorenzo Moneta
(CERN)
(until 16:00)
|
14:00
|
Tutorial 3: Keras and TMVA interfaces
-
Stefan Wunsch
(KIT - Karlsruhe Institute of Technology (DE))
|
15:00
|
Tutorial 4: R
-
Andrew Lowe
(Hungarian Academy of Sciences (HU))
|
16:00
|
--- Coffee break ---
|
16:30
|
Closing Session
-
Michele Floris
(CERN)
Paul Seyfert
(Universita & INFN, Milano-Bicocca (IT))
(until 18:30)
|
16:30
|
HEP.TrkX [Vidyo]
-
Dustin James Anderson
(California Institute of Technology (US))
|
17:05
|
Object identification with deep learning using Intel DAAL on Knights Landing processor [Vidyo]
-
David Nonso Ojika
(University of Florida (US))
|
17:30
|
Close-out
-
Steven Randolph Schramm
(Universite de Geneve (CH))
|
|