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DS@HEP 2017

from Monday, May 8, 2017 (8:00 AM) to Friday, May 12, 2017 (6:00 PM)
Fermi National Accelerator Laboratory

        : Sessions
    /     : Talks
        : Breaks
May 8, 2017
May 9, 2017
May 10, 2017
May 11, 2017
May 12, 2017
AM
9:00 AM
Welcome (until 9:30 AM) ()
9:00 AM Welcome to Fermilab - Dr Joseph Lykken (Fermilab)   ()
Slides
9:15 AM Introduction to the workshop - Prof. Maria Spiropulu (Caltech)   ()
Slides
9:30 AM
DS Techniques and HEP Applications (until 10:15 AM) ()
9:30 AM Review talk on Computer vision - Pietro Perona (California Institute of Technology)   ()
Slides
10:15 AM --- Coffee Break ---
10:35 AM
DS Techniques and HEP Applications (until 11:50 AM) ()
10:35 AM Jet Image - Benjamin Nachman (LBNL) Ben Nachman   ()
Slides
11:00 AM jet b-tagging with ConvNN - Markus Stoye   ()
Slides
11:25 AM Convolutional NNs for neutrino experiments - Dr Alexander Radovic (College of William and Mary)   ()
Slides
11:50 AM Necessary Changes in the Philosophy and Practice of Probability & Statistics - William Briggs (Cornell University) William Briggs   ()
Slides
9:00 AM
DS Techniques and HEP Applications (until 10:35 AM) ()
9:00 AM Review talk on Sequential/Recursive Learning - Kyunghyun Cho (New York University)   ()
Slides
9:45 AM Jet b-tagging with RNNs - Dan Guest   ()
Slides
10:10 AM Topology classifier with LSTM - Jean-Roch Vlimant (Caltech) Dr Jean-Roch vlimant (California Institute of Technology)   ()
Slides
10:35 AM --- Coffe Break ---
10:55 AM Use of advanced ML techniques in operations and data analysis at LHCb - Prof. Michael Sokoloff (University of Cincinnati)   ()
Slides
11:25 AM Uncertainty quantification for machine learning - Stefan Wager (Columbia University)   ()
Slides
9:00 AM
DS Techniques and HEP Applications (until 10:35 AM) ()
9:00 AM Review of Adversarial Networks - Prasanna Balaprakash   ()
Slides
9:45 AM GANs for Jets - Ms Michela Paganini (Yale) Michela Paganini (Yale University)   ()
Slides
10:10 AM GANs for simulation - Sofia Vallecorsa (Gangneung-Wonju National University, Korea & CERN)   ()
Slides
10:35 AM --- Coffee Break ---
11:00 AM
DS Techniques and HEP Applications (until 11:50 AM) ()
11:00 AM Systematics mitigation - Gilles Louppe (New York University)   ()
Slides
11:25 AM Training neural networks on data - Mr Francesco Rubbo (Università degli Studi di Torino) Francesco Rubbo (SLAC National Accelerator Laboratory)   ()
Slides
11:50 AM Recursive jets - Kyle Cranmer (NYU)   ()
Slides
9:00 AM
DS Techniques and HEP Applications (until 10:25 AM) ()
9:00 AM Infrastructure for Large Scale HEP data analysis - Matteo Cremonesi (FNAL)   ()
Slides
9:25 AM A path toward HEP data analysis using high performance computing - Saba Sehrish (Fermilab)   ()
Slides
9:50 AM Large-scale network training with MPI - Dustin Anderson (California Institute of Technology)   ()
Slides
10:25 AM --- Coffee Break ---
10:55 AM
DS Techniques and HEP Applications (until 11:50 AM) ()
10:55 AM Data plumbing: moving data across frameworks - Dr Jim Pivarski (Fermilab)   ()
Slides
11:20 AM CERN OpenLab: Machine Learning, HEP, and Industry - Maria Girone (CERN)   ()
Slides
11:50 AM The Berkeley Institute for Data Science - Peter Nugent   ()
Slides
9:00 AM Summary of Hands-on Session II: Jets - Mr Alexx Perloff (Texas A&M University)   ()
Slides
9:30 AM Summary of Hands-on Session III: Tracking with Machine Learning - Jamie Antonelli   ()
Slides
10:00 AM Summary of Hands-on Session I: Imaging Detector datasets - Dr Gabriel Perdue (Fermilab)   ()
Slides
10:30 AM --- Coffee Break ---
11:00 AM Community Efforts in Machine Learning - Ms Fernanda Psihas (Indiana University)   ()
Slides
11:25 AM Introduction to CWP discussion - Sergei Gleyzer (University of Florida)   ()
Slides
11:30 AM Summary & outlook: planning work in view of DS@HEP2018 - Dr Amir Farbin (University of Texas at Arlington)   ()
Slides
PM
12:35 PM --- Lunch Break ---
2:00 PM
DS Techniques and HEP Applications (until 2:45 PM) ()
2:00 PM Convolutional NNs for tracking - Farrell Steve (LBNL)   ()
Slides
2:22 PM Image Calorimetry: status and challenges - Josh Bendavid (MIT)   ()
Slides
2:45 PM IBM Minsky - Mr Ken Halbrecht (IBM reseller)   ()
Slides
3:05 PM
Introduction to Hands-on sessions (until 4:10 PM) ()
3:05 PM Imaging detector datasets - Dr Amir Farbin (University of Texas at Arlington)   ()
Slides
3:30 PM Jet dataset - Javier Duarte (Fermilab)   ()
Minutes
Slides
3:50 PM Tracking dataset - Jean-Roch Vlimant Dr Jean-Roch vlimant (California Institute of Technology)   ()
Minutes
Slides
4:10 PM --- Coffee Break ---
4:45 PM
Hands-on session I: Imaging Detector datasets (until 6:15 PM) ()
4:45 PM
Hands-on session II: Jets (until 6:15 PM) ()
4:45 PM
Hands-on session III: Tracking with Machine Learning (until 6:15 PM) ()
6:30 PM --- Reception ---
12:00 PM The blackness of the ML box - Victoria Stodden Matthew Krafczyk   ()
animation
Slides
12:35 PM --- Lunch Break ---
1:30 PM
DS Techniques and HEP Applications (until 3:40 PM) ()
1:30 PM Review on Anomaly/Outlier detection - Cecile Germain (Université Paris-Sud)   ()
Slides
2:05 PM Monitoring the LHC magnets - Maciej Wielgosz (AGH University of Science and Technology, Kraków)   ()
Slides
2:28 PM Good Data Certification at the LHC - Fedor Ratnikov   ()
Slides
2:51 PM Machine learning to control an X-ray laser - Daniel Ratner (SLAC)   ()
Slides
3:14 PM Online DQM with Machine Learning - Pol Adrian (Université Paris-Sud and CERN)   ()
Slides
3:40 PM --- Transfer to Wilson Hall ---
4:00 PM FNAL Colloquium - Zadeh Reza (Stanford & Matroid)   ()
5:00 PM Roundtable on uncertainty in machine learning   (Directors’ Conference Room on 2E)
12:20 PM --- Lunch Break ---
1:25 PM The power of DRL and Latest Advancements in Learning Systems - Rocky Duan   ()
Slides
2:05 PM Programming Neuromorphic Computing Systems - Catherine Schuman (Oak Ridge National Laboratory)   ()
Slides
2:45 PM
Hands-on session I: Imaging Detector datasets (until 4:00 PM) ()
2:45 PM
Hands-on session II: Jets (until 4:00 PM) ()
2:45 PM
Hands-on session III: Tracking with Machine Learning (until 4:00 PM) ()
4:00 PM --- Coffee Break ---
4:30 PM
Hands-on session I: Imaging Detector datasets (until 6:00 PM) ()
4:30 PM
Hands-on session II: Jets (until 6:00 PM) ()
4:30 PM --- Coffee Break ---
4:30 PM
Hands-on session III: Tracking with Machine Learning (until 6:00 PM) ()
12:35 PM --- Lunch Break ---
1:30 PM Large scale Bayesian computations - Michael Betancourt (Columbia University)   ()
Slides
2:05 PM AI/Deep Learning applications in Industry - Kathy Copic   ()
Slides
2:40 PM
Hands-on session I: Imaging Detector datasets (until 4:00 PM) ()
2:40 PM
Hands-on session II: Jets (until 4:00 PM) ()
2:40 PM
Hands-on session III: Tracking with Machine Learning (until 4:00 PM) ()
4:00 PM --- Coffee Break ---
4:30 PM
Hands-on session I: Imaging Detector datasets (until 6:00 PM) ()
4:30 PM
Hands-on session II: Jets (until 6:00 PM) ()
4:30 PM
Hands-on session III: Tracking with Machine Learning (until 6:00 PM) ()
1:30 PM
Discussion on Community White Paper - Sergei Gleyzer (until 4:00 PM) (Big Room in Building 327)
1:30 PM Introduction to CWP-ML - Sergei Gleyzer (University of Florida)   (Big Room in Building 327)
1:45 PM Group breakout editing session I   (Big Room in Building 327)
2:45 PM --- Break ---
3:05 PM Group breakout editing session II   (Big Room in Building 327)