09:00
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Session 1
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Markus Stoye
(CERN)
Steven Randolph Schramm
(Universite de Geneve (CH))
(until 12:30)
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09:00
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Welcome
-
Markus Stoye
(CERN)
Lorenzo Moneta
(CERN)
Steven Randolph Schramm
(Universite de Geneve (CH))
Rudiger Haake
(CERN)
Paul Seyfert
(CERN)
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09:20
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DarkMachines
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Tommaso Dorigo
(Universita e INFN, Padova (IT))
|
09:35
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Overview of ML in HEP
-
Luke Percival De Oliveira
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10:30
|
--- Coffee break ---
|
11:00
|
DeepJet: a deep-learned multiclass jet-tagger for slim and fat jets
-
Loukas Gouskos
(Univ. of California Santa Barbara (US))
Jan Kieseler
(CERN)
Huilin Qu
(Univ. of California Santa Barbara (US))
Markus Stoye
(CERN)
Mauro Verzetti
(CERN)
|
11:25
|
HL-LHC tracking challenge
-
Jean-Roch Vlimant
(California Institute of Technology (US))
|
11:50
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Convolutional Neural Network for Track Seed Filtering at the CMS HLT
- Mr
Adriano Di Florio
(Universita e INFN, Bari (IT))
|
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09:00
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Session 3
-
Lorenzo Moneta
(CERN)
Rudiger Haake
(CERN)
(until 12:30)
(222/R-001)
|
09:00
|
Daily announcements
-
Markus Stoye
(CERN)
Lorenzo Moneta
(CERN)
Steven Randolph Schramm
(Universite de Geneve (CH))
Paul Seyfert
(CERN)
Rudiger Haake
(CERN)
|
09:05
|
Joint Wasserstein GAN contribution
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Thorben Quast
(Rheinisch Westfaelische Tech. Hoch. (DE))
Jonas Glombitza
(Rheinisch-Westfaelische Tech. Hoch. (DE))
David Josef Schmidt
(Rheinisch Westfaelische Tech. Hoch. (DE))
|
10:00
|
Generative Models for Fast Cluster Simulations in the TPC for the ALICE Experiment
-
Kamil Rafal Deja
(Warsaw University of Technology (PL))
|
10:30
|
--- Coffee break ---
|
11:00
|
Adversarial Tuning of Perturbative Parameters in Non-Differentiable Physics Simulators
-
Michela Paganini
(Yale University (US))
|
11:25
|
Fast calorimeter simulation in LHCb
-
Egor Zakharov
|
11:50
|
A Deep Learning tool for fast simulation
-
Gul Rukh Khattak
(University of Peshawar (PK))
|
|
09:00
|
Session 5
-
Rudiger Haake
(CERN)
Paul Seyfert
(CERN)
(until 12:30)
|
09:00
|
Daily announcements
-
Paul Seyfert
(CERN)
Lorenzo Moneta
(CERN)
Steven Randolph Schramm
(Universite de Geneve (CH))
Rudiger Haake
(CERN)
Markus Stoye
(CERN)
|
09:05
|
Fisher information metrics for binary classifier evaluation and training
-
Andrea Valassi
(CERN)
|
09:30
|
DeepJet: a portable ML environment for HEP
- Mr
swapneel mehta
(IT/DB Group)
Swapneel Sundeep Mehta
(Dwarkadas J Sanghvi College of Engineering (IN))
|
09:55
|
Event Categorization using Deep Neural Networks for ttH (H→bb) with the CMS Experiment
-
Marcel Rieger
(RWTH Aachen University (DE))
|
10:30
|
--- Coffee break ---
|
11:00
|
Machine learning in jet physics
-
Sreedevi Narayana Varma
(King's College London)
|
11:25
|
Recursive Neural Networks in Quark/Gluon Tagging
-
Taoli Cheng
(University of Chinese Academy of Sciences)
|
|
09:00
|
Hackathon
-
Paul Seyfert
(CERN)
(until 18:00)
(3179)
|
|
12:30
|
--- Lunch break ---
|
14:00
|
Session 2
-
Steven Randolph Schramm
(Universite de Geneve (CH))
Markus Stoye
(CERN)
(until 18:30)
|
14:00
|
Tutorial: TMVA
-
Lorenzo Moneta
(CERN)
|
15:00
|
Introduction to the industry session
-
Paul Seyfert
(CERN)
Markus Stoye
(CERN)
Rudiger Haake
(CERN)
Steven Randolph Schramm
(Universite de Geneve (CH))
Lorenzo Moneta
(CERN)
|
15:10
|
Multilevel Optimization for Generative Models, Games and Robotics
-
David Pfau
(Google DeepMind)
|
15:50
|
Machine Learning For Enterprises: Beyond Open Source
-
Jean-Francois Puget
(IBM Analytics)
|
16:30
|
--- Coffee break ---
|
17:00
|
Surrogate Models for Fun and Profit
-
Andrey Ustyuzhanin
(Yandex School of Data Analysis (RU))
|
17:40
|
Industry panel
-
Andrey Ustyuzhanin
(Yandex School of Data Analysis (RU))
David Pfau
(Google DeepMind)
Jean-Francois Puget
(IBM Analytics)
|
18:30
|
--- Welcome reception ---
|
|
12:30
|
--- Lunch break ---
|
14:00
|
Session 4
-
Markus Stoye
(CERN)
Lorenzo Moneta
(CERN)
(until 18:30)
|
14:00
|
Tutorial: Keras/TensorFlow
-
Stefan Wunsch
(KIT - Karlsruhe Institute of Technology (DE))
|
15:00
|
Interpreting Deep Neural Networks and their Predictions
-
Wojciech Samek
(Fraunhofer HHI)
|
16:00
|
--- Coffee break ---
|
16:30
|
What is the machine learning.
-
Bryan Ostdiek
(University of Oregon)
|
16:55
|
Identifying the relevant dependencies of the neural network response on characteristics of the input space
-
Stefan Wunsch
(KIT - Karlsruhe Institute of Technology (DE))
|
17:20
|
Studies to mitigate difference between real data and simulation for jet tagging
-
Markus Stoye
(CERN)
Jan Kieseler
(CERN)
Oliver Buchmuller
(Imperial College (GB))
Arabella Martelli
(Imperial College (GB))
Mauro Verzetti
(CERN)
|
17:45
|
Particle identification at LHCb: new calibration techniques and machine learning classification algorithms
-
Miriam Lucio Martinez
(Universidade de Santiago de Compostela (ES))
|
|
12:30
|
--- Lunch break ---
|
14:00
|
Session 6
-
Rudiger Haake
(CERN)
Steven Randolph Schramm
(Universite de Geneve (CH))
(until 18:30)
|
15:05
|
Direct Learning of Systematics-Aware Summary Statistics
-
Pablo De Castro Manzano
(Universita e INFN, Padova (IT))
|
15:30
|
Multivariate Analysis Techniques for charm reconstruction with ALICE
-
Chiara Zampolli
(CERN)
|
16:00
|
--- Coffee break ---
|
16:30
|
Classification of decays involving variable decay chains with convolutional architectures
-
Justin Tan
(The University of Melbourne, Belle II)
|
16:55
|
Drones: Making faster and smarter decisions with software triggers
-
Sean Benson
(Nikhef National institute for subatomic physics (NL))
|
17:20
|
Close-out and challenge results
-
Markus Stoye
(CERN)
Lorenzo Moneta
(CERN)
Steven Randolph Schramm
(Universite de Geneve (CH))
Paul Seyfert
(CERN)
Rudiger Haake
(CERN)
|
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