ML-at-SLAC 1st Workshop

Session

Morning

19 Feb 2019, 10:00

53-1-1350 Trinity (SLAC)

Conveners

Morning: Invited Talks 1

• Daniel Ratner (SLAC)

Morning: Invited Talks 2

• Kazuhiro Terao (SLAC)

3. Introduction

Kazuhiro Terao (SLAC)

19/02/2019, 10:00

4. Deep Learning at the Particle Physics Energy Frontier

Dr Michael Kagan (SLAC)

19/02/2019, 10:05

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

6. HEP - Cosmic Frontier: Deep Generative Models for Astronomical Catalogs

Dr Philip Marshall (SLAC)

19/02/2019, 10:25

7. Stanford Galaxy Formation and Cosmology ML Research

Sean McLaughlin (Stanford University), Warren Morningstar (Stanford University)

19/02/2019, 10:35

9. Machine Learning for the Heavy Photon Search

Dr Matthew Solt (SLAC), Dr Omar Moreno (SLAC)

19/02/2019, 10:45

16. Machine learning in computational surface chemistry

Dr Johannes Voss (SLAC)

19/02/2019, 11:05

10. Improving Particle Accelerator Models with Machine Learning

Dr Auralee Edelen (SLAC)

19/02/2019, 11:15

11. Bayesian optimization for FEL tuning: a step towards autonomous operation

Dr Joseph Duris (SLAC)

19/02/2019, 11:25

12. Machine Learning based Analysis, Accelerator Directorate

Dr Brendan O'Shea (SLAC)

19/02/2019, 11:35

13. ML Study: SPEAR3 BTS Injection Efficiency

Faya Wang (SLAC)

19/02/2019, 11:50