DS@HEP 2017

8 May 2017, 08:00 → 12 May 2017, 18:00 US/Central

Fermi National Accelerator Laboratory

Alexander Himmel (FNAL), Amir Farbin, Cecile Germain, Jean-Roch Vlimant (Caltech), Jim (co-chair) Kowalkowski (Fermilab), Maria (ex officio) Spiropulu (Caltech), Maurizio (co-chair) Pierini (CERN), Michael Kagan (SLAC), Micheal Williams (MIT), Mikael Kuusela (University of Chicago), Yisong Yue (Caltech)

DSHEP@FNAL is the third in a series of workshops dedicated to Data Science in High Energy Physics.  The workshop brings together computer scientists, data scientists, and physicists to explore cutting edge solutions to large-scale computational problems across HEP.  We will look further into machine learning and big data solutions to problems in data analysis, pattern recognition, and model inference. Video connection information: Name: DS_HEP Description: DS@HEP vidyo conference Extension: 10638125 Join video using https://vidyoportal.cern.ch/join/UKpAEhLHAJ Phone numbers: http://information-technology.web.cern.ch/services/fe/howto/users-join-vidyo-meeting-phone

Poster DS@HEPposterFinal.pdf

Slides Map_To_MuMI_underground.png

Monday, 8 May

Welcome

1 Welcome to Fermilab

Speaker: Dr Joseph Lykken (Fermilab)

Slides Welcome_to_Fermilab.pdf

2 Introduction to the workshop

Speaker: Prof. Maria Spiropulu (Caltech)

Slides DSFNAL.pdf

DS Techniques and HEP Applications: Computer vision I

3 Review talk on Computer vision

Speaker: Pietro Perona (California Institute of Technology)

Slides 2017-Fermilab_Perona.pdf

10:15 Coffee Break

DS Techniques and HEP Applications: Computer vision II

4 Jet Image

Speakers: Ben Nachman, Benjamin Nachman (LBNL)

Slides DS@HEP_Nachman_Final.pdf

5 jet b-tagging with ConvNN

Speaker: Markus Stoye

Slides DS@HEP_2017_final.pdf

6 Convolutional NNs for neutrino experiments

Speaker: Dr Alexander Radovic (College of William and Mary)

Slides neutrinoCNNDS@HEP.pdf

7 Necessary Changes in the Philosophy and Practice of Probability & Statistics

Speakers: William Briggs (Cornell University), William Briggs

Slides briggs.fermi.talk.pdf

12:35 Lunch Break

DS Techniques and HEP Applications: Computer Vision III

8 Convolutional NNs for tracking

Speaker: Farrell Steve (LBNL)

Slides Farrell_CVTracking_DSHEP.pdf

9 Image Calorimetry: status and challenges

Speaker: Josh Bendavid (MIT)

Slides imageCalorimetry-May8-2017.pdf

10 IBM Minsky

Speaker: Mr Ken Halbrecht (IBM reseller)

Slides Fermi_Summit.pdf Fermi_Summit.pptx

Introduction to Hands-on sessions

11 Imaging detector datasets

Speaker: Dr Amir Farbin (University of Texas at Arlington)

Slides DSatHEP-Dataset-Intro.pdf

12 Jet dataset

Speaker: Javier Duarte (Fermilab)

Minutes https://docs.google.com/spreadsheets/d/1AbRrW90wHX4xvIHKl00VQFpj9pUG0YFrr7UDcrLY670/edit#gid=0

Slides DSHEP2017_CMSOpenDataML_8May2017.pdf

13 Tracking dataset

Speakers: Jean-Roch Vlimant, Dr Jean-Roch vlimant (California Institute of Technology)

Minutes https://docs.google.com/spreadsheets/d/1s3QIJvgrfyKD9DljP6ZTUwyUgsKXg5f4g6Ir7ap-xc8/edit?usp=sharing

Slides tracking_DSHEP17_May17.pdf

16:10 Coffee Break

Hands-on session I: Imaging Detector datasets

Hands-on session II: Jets

Hands-on session III: Tracking with Machine Learning

18:30 Reception

Evening reception

Tuesday, 9 May

DS Techniques and HEP Applications: Sequential/Recursive Learning

14 Review talk on Sequential/Recursive Learning

Speaker: Kyunghyun Cho (New York University)

Slides rnn.pdf rnn.pptx

15 Jet b-tagging with RNNs

Speaker: Dan Guest

Slides dguest-dsathep.pdf

16 Topology classifier with LSTM

Speakers: Jean-Roch Vlimant (Caltech), Dr Jean-Roch vlimant (California Institute of Technology)

Slides vlimant_eRNN_May17.pdf

10:35 Coffe Break

17 Use of advanced ML techniques in operations and data analysis at LHCb

Speaker: Prof. Michael Sokoloff (University of Cincinnati)

Slides sokoloff_lhcb_DSHEP.pdf

18 Uncertainty quantification for machine learning

Speaker: Stefan Wager (Columbia University)

Slides Wager.pdf

19 The blackness of the ML box

Speakers: Matthew Krafczyk, Victoria Stodden

animation animated.gif

Slides stodden_krafczyk.pdf

12:35 Lunch Break

DS Techniques and HEP Applications: Anomaly/Outlier Detection

20 Review on Anomaly/Outlier detection

Speaker: Cecile Germain (Université Paris-Sud)

Slides AnomalyDSHEPGermainFinal.pptx

21 Monitoring the LHC magnets

Speaker: Maciej Wielgosz (AGH University of Science and Technology, Kraków)

Slides http://prezi.com/qkcz8e7lr7vv/?utm_campaign=share&utm_medium=copy

22 Good Data Certification at the LHC

Speaker: Fedor Ratnikov

Slides DSHEP2017.pdf Ratnikov.pdf

23 Machine learning to control an X-ray laser

Speaker: Daniel Ratner (SLAC)

Slides DSatHEP_Ratner.pptx

24 Online DQM with Machine Learning

Speaker: Pol Adrian (Université Paris-Sud and CERN)

Slides pol_dshep.pdf

15:40 Transfer to Wilson Hall

25 FNAL Colloquium

Speaker: Zadeh Reza (Stanford & Matroid)

26 Roundtable on uncertainty in machine learning

Wednesday, 10 May

DS Techniques and HEP Applications: Adversarial Networks I

27 Review of Adversarial Networks

Speaker: Prasanna Balaprakash

Slides ds_hep_gans17.pdf ds_hep_gans17.pptx

28 GANs for Jets

Speakers: Ms Michela Paganini (Yale), Michela Paganini (Yale University)

Slides dshep.pdf

29 GANs for simulation

Speaker: Sofia Vallecorsa (Gangneung-Wonju National University, Korea & CERN)

Slides MLsimulation_GeantV.pdf MLsimulation_GeantV.pptx

10:35 Coffee Break

DS Techniques and HEP Applications: Adversarial Networks II

30 Systematics mitigation

Speaker: Gilles Louppe (New York University)

Slides slidesLouppe.pdf

31 Training neural networks on data

Speakers: Francesco Rubbo (SLAC National Accelerator Laboratory), Mr Francesco Rubbo (Università degli Studi di Torino)

Slides DSatHEP_20170510.pdf

32 Recursive jets

Speaker: Kyle Cranmer (NYU)

Slides QCD-aware-RNN-DSHEP.pdf

12:20 Lunch Break

33 The power of DRL and Latest Advancements in Learning Systems

Speaker: Rocky Duan

Slides 20170510_-_Fermilab_-_Recent_Advances_in_Deep_Reinforcement_Learning.pdf

34 Programming Neuromorphic Computing Systems

Speaker: Catherine Schuman (Oak Ridge National Laboratory)

Slides DSHEP_FermiLabPresentation.pptx

Hands-on session I: Imaging Detector datasets

Hands-on session II: Jets

Hands-on session III: Tracking with Machine Learning

16:00 Coffee Break

Hands-on session I: Imaging Detector datasets

Hands-on session II: Jets

16:30 Coffee Break

Hands-on session III: Tracking with Machine Learning

Thursday, 11 May

DS Techniques and HEP Applications: Computing Infrastructure I

35 Infrastructure for Large Scale HEP data analysis

Speaker: Matteo Cremonesi (FNAL)

Slides ds@hep.pdf

36 A path toward HEP data analysis using high performance computing

Speaker: Saba Sehrish (Fermilab)

Slides ds@hep.pdf

37 Large-scale network training with MPI

Speaker: Dustin Anderson (California Institute of Technology)

Slides 05112016mpi.pdf

10:25 Coffee Break

DS Techniques and HEP Applications: Computing Infrastructure II

38 Data plumbing: moving data across frameworks

Speaker: Dr Jim Pivarski (Fermilab)

Slides pivarski-data-plumbing.pdf

39 CERN OpenLab: Machine Learning, HEP, and Industry

Speaker: Maria Girone (CERN)

Slides Girone_DSHEP2017.pptx

40 The Berkeley Institute for Data Science

Speaker: Peter Nugent

Slides dshep_nugent_(1).pptx

12:35 Lunch Break

41 Large scale Bayesian computations

Speaker: Michael Betancourt (Columbia University)

Slides scalable_bayesian_inference.pdf

42 AI/Deep Learning applications in Industry

Speaker: Kathy Copic

Slides KathyCopic_Fermilab_DS_workshop.pdf

Hands-on session I: Imaging Detector datasets

Hands-on session II: Jets

Hands-on session III: Tracking with Machine Learning

16:00 Coffee Break

Hands-on session I: Imaging Detector datasets

Hands-on session II: Jets

Hands-on session III: Tracking with Machine Learning

Friday, 12 May

43 Summary of Hands-on Session II: Jets

Speaker: Mr Alexx Perloff (Texas A&M University)

Slides 2017_05_12-DSHEP-Jets.pptx 2017_05_12-DSHEP-Jets-v2.pdf

44 Summary of Hands-on Session III: Tracking with Machine Learning

Speaker: Jamie Antonelli

Slides Antonelli_trackingSummary_DSHEP.pdf

45 Summary of Hands-on Session I: Imaging Detector datasets

Speaker: Dr Gabriel Perdue (Fermilab)

Slides imaging-datasets-dshep2017.pdf

10:30 Coffee Break

46 Community Efforts in Machine Learning

Speaker: Ms Fernanda Psihas (Indiana University)

Slides MLCommunityEfforts20170512DSatHEP.pdf

47 Introduction to CWP discussion

Speaker: Sergei Gleyzer (University of Florida)

Slides b327_map.png CWP-ML.pptx

48 Summary & outlook: planning work in view of DS@HEP2018

Speaker: Dr Amir Farbin (University of Texas at Arlington)

Slides DSatHEP-Discussion.pdf

Discussion on Community White Paper

Convener: Sergei Gleyzer

49 Introduction to CWP-ML

Speaker: Sergei Gleyzer (University of Florida)

Slides

• CWP-ML.pptx
• https://docs.google.com/document/d/1o9S0XE4ly4-LZh9y96DG-U7HH61m2cHboV6xSt1tI0g/edit#heading=h.6ec3dqy1afkb
• https://indico.cern.ch/event/624743/
• https://indico.cern.ch/event/639125/
• https://indico.cern.ch/event/639130/
• https://indico.cern.ch/event/639131/
• https://indico.cern.ch/event/639277/

50 Group breakout editing session I

14:45 Break

51 Group breakout editing session II