2nd IML Machine Learning Workshop

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

        : Sessions
    /     : Talks
        : Breaks
9 Apr 2018
10 Apr 2018
11 Apr 2018
12 Apr 2018
AM
09:00
Session 1 - Markus Stoye (CERN) Steven Randolph Schramm (Universite de Geneve (CH)) (until 12:30) (500-1-001 - Main Auditorium)
09:00 Welcome - Paul Seyfert (CERN) Markus Stoye (CERN) Lorenzo Moneta (CERN) Steven Randolph Schramm (Universite de Geneve (CH)) Rudiger Haake (CERN)   (500-1-001 - Main Auditorium)
09:20 DarkMachines - Tommaso Dorigo (Universita e INFN, Padova (IT))   (500-1-001 - Main Auditorium)
09:35 Overview of ML in HEP - Luke Percival De Oliveira   (500-1-001 - Main Auditorium)
10:30 --- Coffee break ---
11:00 DeepJet: a deep-learned multiclass jet-tagger for slim and fat jets - Mauro Verzetti (CERN) Loukas Gouskos (Univ. of California Santa Barbara (US)) Jan Kieseler (CERN) Huilin Qu (Univ. of California Santa Barbara (US)) Markus Stoye (CERN)   (500-1-001 - Main Auditorium)
11:25 HL-LHC tracking challenge - Jean-Roch Vlimant (California Institute of Technology (US))   (500-1-001 - Main Auditorium)
11:50 Convolutional Neural Network for Track Seed Filtering at the CMS HLT - Mr Adriano Di Florio (Universita e INFN, Bari (IT))   (500-1-001 - Main Auditorium)
09:00
Session 3 - Lorenzo Moneta (CERN) Rudiger Haake (CERN) (until 12:30) (222-R-001)
09:00 Daily announcements - Markus Stoye (CERN) Steven Randolph Schramm (Universite de Geneve (CH)) Paul Seyfert (CERN) Rudiger Haake (CERN) Lorenzo Moneta (CERN)   (222-R-001)
09:05 Joint Wasserstein GAN contribution - David Josef Schmidt (Rheinisch Westfaelische Tech. Hoch. (DE)) Jonas Glombitza (Rheinisch-Westfaelische Tech. Hoch. (DE)) Thorben Quast (Rheinisch Westfaelische Tech. Hoch. (DE))   (222-R-001)
10:00 Generative Models for Fast Cluster Simulations in the TPC for the ALICE Experiment - Kamil Rafal Deja (Warsaw University of Technology (PL))   (222-R-001)
10:30 --- Coffee break ---
11:00 Adversarial Tuning of Perturbative Parameters in Non-Differentiable Physics Simulators - Michela Paganini (Yale University (US))   (222-R-001)
11:25 Fast calorimeter simulation in LHCb - Egor Zakharov   (222-R-001)
11:50 A Deep Learning tool for fast simulation - Gul Rukh Khattak (University of Peshawar (PK))   (222-R-001)
09:00
Session 5 - Rudiger Haake (CERN) Paul Seyfert (CERN) (until 12:30) (500-1-001 - Main Auditorium)
09:00 Daily announcements - Steven Randolph Schramm (Universite de Geneve (CH)) Lorenzo Moneta (CERN) Paul Seyfert (CERN) Markus Stoye (CERN) Rudiger Haake (CERN)   (500-1-001 - Main Auditorium)
09:05 Fisher information metrics for binary classifier evaluation and training - Andrea Valassi (CERN)   (500-1-001 - Main Auditorium)
09:30 DeepJet: a portable ML environment for HEP - Swapneel Sundeep Mehta (Dwarkadas J Sanghvi College of Engineering (IN)) Mr swapneel mehta (IT/DB Group)   (500-1-001 - Main Auditorium)
09:55 Event Categorization using Deep Neural Networks for ttH (H→bb) with the CMS Experiment - Marcel Rieger (RWTH Aachen University (DE))   (500-1-001 - Main Auditorium)
10:30 --- Coffee break ---
11:00 Machine learning in jet physics - Sreedevi Narayana Varma (King's College London)   (500-1-001 - Main Auditorium)
11:25 Recursive Neural Networks in Quark/Gluon Tagging - Taoli Cheng (University of Chinese Academy of Sciences)   (500-1-001 - Main Auditorium)
09:00
Hackathon - Paul Seyfert (CERN) (until 18:00) (3179)
PM
12:30 --- Lunch break ---
14:00
Session 2 - Steven Randolph Schramm (Universite de Geneve (CH)) Markus Stoye (CERN) (until 18:30) (500-1-001 - Main Auditorium)
14:00 Tutorial: TMVA - Lorenzo Moneta (CERN)   (500-1-001 - Main Auditorium)
15:00 Introduction to the industry session - Markus Stoye (CERN) Paul Seyfert (CERN) Rudiger Haake (CERN) Lorenzo Moneta (CERN) Steven Randolph Schramm (Universite de Geneve (CH))   (500-1-001 - Main Auditorium)
15:10 Multilevel Optimization for Generative Models, Games and Robotics - David Pfau (Google DeepMind)   (500-1-001 - Main Auditorium)
15:50 Machine Learning For Enterprises: Beyond Open Source - Jean-Francois Puget (IBM Analytics)   (500-1-001 - Main Auditorium)
16:30 --- Coffee break ---
17:00 Surrogate Models for Fun and Profit - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))   (500-1-001 - Main Auditorium)
17:40 Industry panel - David Pfau (Google DeepMind) Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)) Jean-Francois Puget (IBM Analytics)   (500-1-001 - Main Auditorium)
18:30 --- Welcome reception ---
12:30 --- Lunch break ---
14:00
Session 4 - Markus Stoye (CERN) Lorenzo Moneta (CERN) (until 18:30) (500-1-001 - Main Auditorium)
14:00 Tutorial: Keras/TensorFlow - Stefan Wunsch (KIT - Karlsruhe Institute of Technology (DE))   (500-1-001 - Main Auditorium)
15:00 Interpreting Deep Neural Networks and their Predictions - Wojciech Samek (Fraunhofer HHI)   (500-1-001 - Main Auditorium)
16:00 --- Coffee break ---
16:30 What is the machine learning. - Bryan Ostdiek (University of Oregon)   (500-1-001 - Main Auditorium)
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))   (500-1-001 - Main Auditorium)
17:20 Studies to mitigate difference between real data and simulation for jet tagging - Markus Stoye (CERN) Mauro Verzetti (CERN) Arabella Martelli (Imperial College (GB)) Oliver Buchmuller (Imperial College (GB)) Jan Kieseler (CERN)   (500-1-001 - Main Auditorium)
17:45 Particle identification at LHCb: new calibration techniques and machine learning classification algorithms - Miriam Lucio Martinez (Universidade de Santiago de Compostela (ES))   (500-1-001 - Main Auditorium)
12:30 --- Lunch break ---
14:00
Session 6 - Rudiger Haake (CERN) Steven Randolph Schramm (Universite de Geneve (CH)) (until 18:30) (500-1-001 - Main Auditorium)
14:00 Tutorial: Advanced concepts - Michela Paganini (Yale University (US))   (500-1-001 - Main Auditorium)
15:05 Direct Learning of Systematics-Aware Summary Statistics - Pablo De Castro Manzano (Universita e INFN, Padova (IT))   (500-1-001 - Main Auditorium)
15:30 Multivariate Analysis Techniques for charm reconstruction with ALICE - Chiara Zampolli (CERN)   (500-1-001 - Main Auditorium)
16:00 --- Coffee break ---
16:30 Classification of decays involving variable decay chains with convolutional architectures - Justin Tan (The University of Melbourne, Belle II)   (500-1-001 - Main Auditorium)
16:55 Drones: Making faster and smarter decisions with software triggers - Sean Benson (Nikhef National institute for subatomic physics (NL))   (500-1-001 - Main Auditorium)
17:20 Close-out and challenge results - Markus Stoye (CERN) Lorenzo Moneta (CERN) Rudiger Haake (CERN) Paul Seyfert (CERN) Steven Randolph Schramm (Universite de Geneve (CH))   (500-1-001 - Main Auditorium)
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