Name: 2nd IML Machine Learning Workshop
Start: 2018-04-09T09:00:00+02:00
End: 2018-04-12T20:00:00+02:00
Location: CERN

2nd IML Machine Learning Workshop

from Monday, 9 April 2018 (09:00) to Thursday, 12 April 2018 (20:00)

Monday, 9 April 2018
09:00
09:00 - 12:30
Room: 500/1-001 - Main Auditorium
Contributions

09:00 Welcome - Lorenzo Moneta (CERN) Markus Stoye (CERN) Paul Seyfert (CERN) Rudiger Haake (CERN) Steven Randolph Schramm (Universite de Geneve (CH))

09:20 DarkMachines - Tommaso Dorigo (Universita e INFN, Padova (IT))

09:35 Overview of ML in HEP - Luke Percival De Oliveira

11:00 DeepJet: a deep-learned multiclass jet-tagger for slim and fat jets - Mauro Verzetti (CERN) Jan Kieseler (CERN) Markus Stoye (CERN) Huilin Qu (Univ. of California Santa Barbara (US)) Loukas Gouskos (Univ. of California Santa Barbara (US))

11:25 HL-LHC tracking challenge - Jean-Roch Vlimant (California Institute of Technology (US))

11:50 Convolutional Neural Network for Track Seed Filtering at the CMS HLT - Adriano Di Florio (Universita e INFN, Bari (IT))
12:30 Lunch break
Lunch break
12:30 - 14:00
14:00
14:00 - 18:30
Room: 500/1-001 - Main Auditorium
Contributions

14:00 Tutorial: TMVA - Lorenzo Moneta (CERN)

15:00 Introduction to the industry session - Lorenzo Moneta (CERN) Markus Stoye (CERN) Paul Seyfert (CERN) Rudiger Haake (CERN) Steven Randolph Schramm (Universite de Geneve (CH))

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)

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
Welcome reception
18:30 - 20:30
Room: 500/1-001 - Main Auditorium
Tuesday, 10 April 2018
09:00
09:00 - 12:30
Room: 222/R-001
Contributions

09:00 Daily announcements - Lorenzo Moneta (CERN) Markus Stoye (CERN) Paul Seyfert (CERN) Rudiger Haake (CERN) Steven Randolph Schramm (Universite de Geneve (CH))

09:05 Joint Wasserstein GAN contribution - David Josef Schmidt (Rheinisch Westfaelische Tech. Hoch. (DE)) Thorben Quast (Rheinisch Westfaelische Tech. Hoch. (DE)) Jonas Glombitza (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))

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))
12:30 Lunch break
Lunch break
12:30 - 14:00
14:00
14:00 - 18:30
Room: 500/1-001 - Main Auditorium
Contributions

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)

16:30 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) Mauro Verzetti (CERN) Jan Kieseler (CERN) Arabella Martelli (Imperial College (GB)) Oliver Buchmuller (Imperial College (GB))

17:45 Particle identification at LHCb: new calibration techniques and machine learning classification algorithms - Miriam Lucio Martinez (Universidade de Santiago de Compostela (ES))
Wednesday, 11 April 2018
09:00
09:00 - 12:30
Room: 500/1-001 - Main Auditorium
Contributions

09:00 Daily announcements - Lorenzo Moneta (CERN) Markus Stoye (CERN) Paul Seyfert (CERN) Rudiger Haake (CERN) Steven Randolph Schramm (Universite de Geneve (CH))

09:05 Fisher information metrics for binary classifier evaluation and training - Andrea Valassi (CERN)

09:30 DeepJet: a portable ML environment for HEP - Swapneel Sundeep Mehta (Dwarkadas J Sanghvi College of Engineering (IN)) swapneel mehta (IT/DB Group)

09:55 Event Categorization using Deep Neural Networks for ttH (H→bb) with the CMS Experiment - Marcel Rieger (RWTH Aachen University (DE))

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)
12:30 Lunch break
Lunch break
12:30 - 14:00
14:00
14:00 - 18:30
Room: 500/1-001 - Main Auditorium
Contributions

14:00 Tutorial: Advanced concepts - Michela Paganini (Yale University (US))

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)

16:30 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 - Lorenzo Moneta (CERN) Markus Stoye (CERN) Paul Seyfert (CERN) Rudiger Haake (CERN) Steven Randolph Schramm (Universite de Geneve (CH))
Thursday, 12 April 2018

09:00

09:00 - 18:00
Room: 3179

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