Name: ML-at-SLAC 1st Workshop
Start: 2019-02-19T10:00:00-08:00
End: 2019-02-19T19:00:00-08:00
Location: SLAC

ML-at-SLAC 1st Workshop

Tuesday, 19 February 2019 - 10:00

Monday, 18 February 2019
Tuesday, 19 February 2019
10:00 Invited Talks 1
Invited Talks 1
10:00 - 10:55
Room: 53-1-1350 Trinity
Contributions

10:00 Introduction - Kazuhiro Terao (SLAC)

10:05 Deep Learning at the Particle Physics Energy Frontier - Michael Kagan (SLAC)

10:15 HEP - Intensity Frontier: Deep Neural Networks for 2D/3D Particle Image Analysis - Kazuhiro Terao (SLAC) Laura Domine (Stanford University)

10:25 HEP - Cosmic Frontier: Deep Generative Models for Astronomical Catalogs - Philip Marshall (SLAC)

10:35 Stanford Galaxy Formation and Cosmology ML Research - Sean McLaughlin (Stanford University) Warren Morningstar (Stanford University)

10:45 Machine Learning for the Heavy Photon Search - Matthew Solt (SLAC) Omar Moreno (SLAC)
10:55 Morning caffeine recharge
Morning caffeine recharge
10:55 - 11:05
Room: 53-1-1350 Trinity
11:05 Invited Talks 2
Invited Talks 2
11:05 - 12:00
Room: 53-1-1350 Trinity
Contributions

11:05 Machine learning in computational surface chemistry - Johannes Voss (SLAC)

11:15 Improving Particle Accelerator Models with Machine Learning - Auralee Edelen (SLAC)

11:25 Bayesian optimization for FEL tuning: a step towards autonomous operation - Joseph Duris (SLAC)

11:35 Machine Learning based Analysis, Accelerator Directorate - Brendan O'Shea (SLAC)

11:50 ML Study: SPEAR3 BTS Injection Efficiency - Faya Wang (SLAC)
12:00 Lunch break
Lunch break
12:00 - 13:00
Room: 53-1-1350 Trinity
13:00 Invited Talks 3
Invited Talks 3
13:00 - 14:10
Room: 53-1-1350 Trinity
Contributions

13:00 CryoET of Cells - Wah Chiu (SLAC) Yee Li (SLAC)

13:10 Machine Learning for Double Beta Decay with EXO-200 - Lisa Kaufman (SLAC)

13:20 Accelerating Discoveries by iterating machine learning with high throughput experiments and computations - Apurva Mehta (SLAC)

13:30 Data-driven discovery of plasma physics - Paulo Alves (SLAC)

13:40 Deploying ML In Hardware: FPGAs & ASICs - Ryan Herbst (SLAC)

13:50 Machine Learning at the Edge : High velocity data inferencing - Audrey Therrien (SLAC) Omar Quijano (SLAC) Ryan Coffee (SLAC)

14:00 Machine Learning in SFX and SPI - Chun Hong Yoon (SLAC)
14:10
14:10 - 16:00
Room: 53-1-1350 Trinity
Contributions

14:10 Awesome ML Posters - Anton Loukianov (SLAC) Audrey Therrien (SLAC) Auralee Edelen (SLAC) Chun Hong Yoon (SLAC) Claudio Emma (SLAC) Faya Wang (SLAC) Gabriel Blaj (SLAC) Henry van den Bedem (Stanford University) Ji Won Park (Stanford University) Jose Torres (Stanford University) Joseph Duris (SLAC) Juhao Wu (SLAC) Kristopher Brown (Stanford University) Laura Domine (Stanford University) Maria Elena Monzani (SLAC) Paulo Alves (SLAC) Ponan Li (SLAC) Ryan Herbst (SLAC) Saulo Oliveira (Stanford University) Sean McLaughlin (Stanford University) Sowmya Kamath (Stanford University) William Colocho (Stanford University) Xiao Zhang (Stanford) Xiaobiao Huang (SLAC) Xinyu Ren (SLAC) Yasheng Maimaiti (Stanford University)
16:00

16:00 - 17:00
Room: 53-1-1350 Trinity

17:00

17:00 - 19:00
Room: 53-1-1350 Trinity

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