Applying (machine) Learning to Experimental Physics

Friday, 11 December 2015 - 08:30
Montreal

        : Sessions
    /     : Talks
        : Breaks
11 Dec 2015
AM
08:30 Introduction to the "Flavours of Physics" challenge - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))   ()
08:55 Wonders and Woes of Machine Learning Competitions - Ben Hamner (Kaggle)   ()
09:20 Data Science at LHCb - Tim Head (Ecole Polytechnique Federale de Lausanne (CH))   ()
10:00 --- Coffee break ---
10:20 4th place solution - Michal Wojcik (Avast)   ()
10:30 3rd place solution - Josef Slavicek   ()
10:40 2nd place solution - Alexander Gramolin (Budker Institute of Nuclear Physics)   ()
10:50 1st place solution - Alexander Guschin Vlad Mironov   ()
11:00 Physics Prize Awards Announcement - Marcin Chrzaszcz (Universitaet Zuerich (CH), Institute of Nuclear Physics (PL))   ()
11:10 Open ML problems in High Energy Physics - Daniel Whiteson (University of California Irvine (US))   ()
11:50 Pitfalls of evaluating a classifier's performance in high energy physics applications - Tim Head (Ecole Polytechnique Federale de Lausanne (CH)) Dr Gilles Louppe (New York University (US))   ()
PM
12:05 Flavours of Physics: Identifying Tau to Three Muon Decay Events at the LHCb Using a Combination of Hand-Crafted and Automatic Feature Engineering and Ensemble Algorithms - Rishab Gargeya Arjun Subramaniam   ()
12:20 --- Lunch ---
14:00 What is wrong with data challenges - Balázs Kégl (CNRS / Université Paris-Saclay)   ()
14:40 Deep Learning RNNaissance - Prof. Jürgen Schmidhuber   ()
15:30 Jet Images: Deep Learning Edition - Luke Percival De Oliveira (SLAC National Accelerator Laboratory (US))   ()
15:45 Output Correction in HEP using DPGMM - Adil Omari (Computer Science Dept. at Universidad Autonoma de Madrid) Roberto Dıaz-Morales Juan Jose Choquehuanca-Zevallos   ()
16:00 Building a Robust Detector Algorithm: Application of Bayesian, Nonparametric, and Poisson Methods to Improve Photon Denoising   ()
16:05 --- Coffee break ---
16:30 An alternative to ABC for likelihood-free inference - Kyle Stuart Cranmer (New York University (US))   ()
17:10 Artificial Physicists - J Michael Williams (Massachusetts Inst. of Technology (US))   ()
17:50
Panel discussion on collaborative research between HEP & ML - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)) (until 18:30) ()