DS@HEP 2017

Session

DS Techniques and HEP Applications

8 May 2017, 09:30

Fermi National Accelerator Laboratory

Contribution list Timetable

15. Review talk on Computer vision

Pietro Perona (California Institute of Technology)

08/05/2017, 09:30

16. Jet Image

Ben Nachman, Benjamin Nachman (LBNL)

08/05/2017, 10:35

45. jet b-tagging with ConvNN

Markus Stoye

08/05/2017, 11:00

17. Convolutional NNs for neutrino experiments

Dr Alexander Radovic (College of William and Mary)

08/05/2017, 11:25

18. Convolutional NNs for tracking

Farrell Steve (LBNL)

08/05/2017, 14:00

19. Image Calorimetry: status and challenges

Josh Bendavid (MIT)

08/05/2017, 14:22

20. Review talk on Sequential/Recursive Learning

Kyunghyun Cho (New York University)

09/05/2017, 09:00

21. Jet b-tagging with RNNs

Dan Guest

09/05/2017, 09:45

43. Topology classifier with LSTM

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

09/05/2017, 10:10

29. Review on Anomaly/Outlier detection

Cecile Germain (Université Paris-Sud)

09/05/2017, 13:30

23. Monitoring the LHC magnets

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

09/05/2017, 14:05

30. Good Data Certification at the LHC

Fedor Ratnikov

09/05/2017, 14:28

31. Machine learning to control an X-ray laser

Daniel Ratner (SLAC)

09/05/2017, 14:51

42. Online DQM with Machine Learning

Pol Adrian (Université Paris-Sud and CERN)

09/05/2017, 15:14

24. Review of Adversarial Networks

Prasanna Balaprakash

10/05/2017, 09:00

25. GANs for Jets

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

10/05/2017, 09:45

27. GANs for simulation

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

10/05/2017, 10:10

26. Systematics mitigation

Gilles Louppe (New York University)

10/05/2017, 11:00

46. Training neural networks on data

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

10/05/2017, 11:25

38. Infrastructure for Large Scale HEP data analysis

Matteo Cremonesi (FNAL)

11/05/2017, 09:00

39. A path toward HEP data analysis using high performance computing

Saba Sehrish (Fermilab)

11/05/2017, 09:25

40. Large-scale network training with MPI

Dustin Anderson (California Institute of Technology)

11/05/2017, 09:50

47. Data plumbing: moving data across frameworks

Dr Jim Pivarski (Fermilab)

11/05/2017, 10:55

41. CERN OpenLab: Machine Learning, HEP, and Industry

Maria Girone (CERN)

11/05/2017, 11:20