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ML-at-SLAC 1st Workshop

19 February 2019
SLAC
America/Los_Angeles timezone

Kazuhiro Terao

Session

Morning

19 Feb 2019, 10:00
53-1-1350 Trinity (SLAC)

53-1-1350 Trinity

SLAC

2575 Sand Hill Rd. Menlo Park, CA 94025 Building 53 Zoom: https://stanford.zoom.us/j/8036931498

Conveners

Morning: Invited Talks 1

  • Daniel Ratner (SLAC)

Morning: Invited Talks 2

  • Kazuhiro Terao (SLAC)

Presentation materials

There are no materials yet.

  1. 3. Introduction
    Kazuhiro Terao (SLAC)
    19/02/2019, 10:00
  2. 4. Deep Learning at the Particle Physics Energy Frontier
    Dr Michael Kagan (SLAC)
    19/02/2019, 10:05
  3. 5. HEP - Intensity Frontier: Deep Neural Networks for 2D/3D Particle Image Analysis
    Kazuhiro Terao (SLAC), Laura Domine (Stanford University)
    19/02/2019, 10:15
  4. 6. HEP - Cosmic Frontier: Deep Generative Models for Astronomical Catalogs
    Dr Philip Marshall (SLAC)
    19/02/2019, 10:25
  5. 7. Stanford Galaxy Formation and Cosmology ML Research
    Sean McLaughlin (Stanford University), Warren Morningstar (Stanford University)
    19/02/2019, 10:35
  6. 9. Machine Learning for the Heavy Photon Search
    Dr Matthew Solt (SLAC), Dr Omar Moreno (SLAC)
    19/02/2019, 10:45
  7. 16. Machine learning in computational surface chemistry
    Dr Johannes Voss (SLAC)
    19/02/2019, 11:05
  8. 10. Improving Particle Accelerator Models with Machine Learning
    Dr Auralee Edelen (SLAC)
    19/02/2019, 11:15
  9. 11. Bayesian optimization for FEL tuning: a step towards autonomous operation
    Dr Joseph Duris (SLAC)
    19/02/2019, 11:25
  10. 12. Machine Learning based Analysis, Accelerator Directorate
    Dr Brendan O'Shea (SLAC)
    19/02/2019, 11:35
  11. 13. ML Study: SPEAR3 BTS Injection Efficiency
    Faya Wang (SLAC)
    19/02/2019, 11:50
Building timetable...