ML-at-SLAC 1st Workshop

Contribution List

3. Introduction

Kazuhiro Terao (SLAC)

19/02/2019, 10:00

Morning

4. Deep Learning at the Particle Physics Energy Frontier

Dr Michael Kagan (SLAC)

19/02/2019, 10:05

Morning

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

Morning

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

Dr Philip Marshall (SLAC)

19/02/2019, 10:25

Morning

7. Stanford Galaxy Formation and Cosmology ML Research

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

19/02/2019, 10:35

Morning

9. Machine Learning for the Heavy Photon Search

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

19/02/2019, 10:45

Morning

16. Machine learning in computational surface chemistry

Dr Johannes Voss (SLAC)

19/02/2019, 11:05

Morning

10. Improving Particle Accelerator Models with Machine Learning

Dr Auralee Edelen (SLAC)

19/02/2019, 11:15

Morning

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

Dr Joseph Duris (SLAC)

19/02/2019, 11:25

Morning

12. Machine Learning based Analysis, Accelerator Directorate

Dr Brendan O'Shea (SLAC)

19/02/2019, 11:35

Morning

13. ML Study: SPEAR3 BTS Injection Efficiency

Faya Wang (SLAC)

19/02/2019, 11:50

Morning

14. CryoET of Cells

Prof. Wah Chiu (SLAC), Yee Li (SLAC)

19/02/2019, 13:00

Afternoon

22. Machine Learning for Double Beta Decay with EXO-200

Lisa Kaufman (SLAC)

19/02/2019, 13:10

Afternoon

21. Accelerating Discoveries by iterating machine learning with high throughput experiments and computations

Dr Apurva Mehta (SLAC)

19/02/2019, 13:20

Afternoon

17. Data-driven discovery of plasma physics

Dr Paulo Alves (SLAC)

19/02/2019, 13:30

Afternoon

18. Deploying ML In Hardware: FPGAs & ASICs

Dr Ryan Herbst (SLAC)

19/02/2019, 13:40

Afternoon

19. Machine Learning at the Edge : High velocity data inferencing

Audrey Therrien (SLAC), Omar Quijano (SLAC), Dr Ryan Coffee (SLAC)

19/02/2019, 13:50

Afternoon

20. Machine Learning in SFX and SPI

Dr Chun Hong Yoon (SLAC)

19/02/2019, 14:00

Afternoon

23. Awesome ML Posters

Anton Loukianov (SLAC), Audrey Therrien (SLAC), Dr Auralee Edelen (SLAC), Dr 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), Dr Joseph Duris (SLAC), Juhao Wu (SLAC), Kristopher Brown (Stanford University), Laura Domine (Stanford University), Dr Maria Elena Monzani (SLAC), Dr Paulo Alves (SLAC), Ponan Li (SLAC), Dr 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)

19/02/2019, 14:10

Poster presentation + caffeine break

Bayesian optimization of FEL pulse energy
Data-driven discovery of plasma physics
Machine Learning at the Heavy Photon Search Experiment
A Statistical Approach to Recognizing Source Classes for Unassociated Sources in Fermi-LAT Catalogs
Identify undetected galaxies with conventional and machine learning techniques
Temporal Electric Field Reconstruction
Bayesian Cosmological Inference with...

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