Name: DANCE Machine Learning Workshop 2020
Start: 2020-08-03T08:00:00-07:00
End: 2020-08-07T14:05:00-07:00
Location: No location set

DANCE Machine Learning Workshop 2020

from Monday, August 3, 2020 (8:00 AM) to Friday, August 7, 2020 (2:05 PM)

Monday, August 3, 2020
8:00 AM A Practical Introduction to Machine Learning in Physics
A Practical Introduction to Machine Learning in Physics
8:00 AM - 10:00 AM
Room: https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09
Contributions

8:00 AM Getting Started with Machine Learning - Scott Kravitz (Lawrence Berkeley National Lab)
10:00 AM Break
Break
10:00 AM - 10:30 AM
10:30 AM Processing of Graph-structured Data: An Introduction - Venkat Roy Waheed Bajwa (Rutgers)
Processing of Graph-structured Data: An Introduction
- Venkat Roy
- Waheed Bajwa (Rutgers)
10:30 AM - 12:00 PM
Room: https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09
Tuesday, August 4, 2020
8:00 AM Introduction to DANCE-ML and Workshop - Christopher Tunnell (Rice) Scott Kravitz (Lawrence Berkeley National Lab)
Introduction to DANCE-ML and Workshop
- Christopher Tunnell (Rice)
- Scott Kravitz (Lawrence Berkeley National Lab)
8:00 AM - 8:15 AM
Room: https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09
8:15 AM
8:15 AM - 9:10 AM
Room: https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09
Contributions

8:15 AM A readily-interpretable fully-convolutional autoencoder-like model for unlabelled waveform analysis - Ben Krikler (Bristol)

8:45 AM PMT waveform analysis in neutrino experiments - Dacheng Xu
9:10 AM Break
Break
9:10 AM - 9:20 AM
9:20 AM
9:20 AM - 10:30 AM
Room: https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09
Contributions

9:20 AM Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks - FREDERIC POITEVIN (LCLS, SLAC) Nina Miolane

9:50 AM LUX Summary - Scott Kravitz (Lawrence Berkeley National Lab)

10:10 AM Anomaly finding in the LZ dark matter experiment - Chami Amarasinghe (University of Michigan)
10:30 AM Break
Break
10:30 AM - 11:00 AM
11:00 AM Roundtable discussion
Roundtable discussion
11:00 AM - 11:30 AM
Contributions

11:00 AM Room 2: How to design + when to apply generative models

11:00 AM Room 1: Anomaly finding - applications and limitations
11:30 AM

11:30 AM - 12:00 PM
Room: https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09
Wednesday, August 5, 2020

8:00 AM

8:00 AM - 8:15 AM
Room: https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09
8:15 AM
8:15 AM - 9:15 AM
Room: https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09
Contributions

8:15 AM Holistic Machine Learning Approach to Particle-Flow Reconstruction in Imaging Neutrino Detectors - Francois Drielsma Francois Drielsma (SLAC)

8:45 AM Machine Learning at the Edge: Intelligent Data Triage in Real Time - Audrey Corbeil Therrien (Université de Sherbrooke) Ryan Coffee
9:15 AM Break
Break
9:15 AM - 9:25 AM
9:25 AM
9:25 AM - 10:30 AM
Room: https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09
Contributions

9:25 AM Signal corrections of XENON1T Dark Matter detector - Tianyu Zhu (Columbia University)

9:35 AM Graph Neural Network for Position Reconstruction - Shixiao Liang (Rice University)

9:45 AM Convolutional neural network for S2 position reconstruction - Andrii Terliuk (MPIK, Heidelberg / Heidelberg University)

9:55 AM Machine Learning at SuperCDMS - To Chin Yu

10:15 AM Energy Reconstruction with Variational Autoencoders in SuperCDMS - Ashley Li (University of British Columbia)
10:30 AM Break
Break
10:30 AM - 11:00 AM
11:00 AM Roundtable discussion
Roundtable discussion
11:00 AM - 11:30 AM
Contributions

11:00 AM Room 1: Snowmass planning (cross-collaboration LOI)

11:00 AM Room 2: Position and energy reconstruction
11:30 AM

11:30 AM - 12:00 PM
Room: https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09
Thursday, August 6, 2020

8:00 AM

8:00 AM - 8:15 AM
Room: https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09
8:15 AM
8:15 AM - 9:30 AM
Room: https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09
Contributions

8:15 AM Mapping Machine-Learned Physics into a Human-Readable Space - Daniel Whiteson

8:45 AM PandaX-III, Investigation of possible features for the classification of signal and background with CNN - Shangning Xia Shaobo Wang Suizhi Huang

9:05 AM Machine learning for Neutrinoless Double Beta Decay in NEXT - Corey Adams (Argonne National Laboratory)
9:30 AM Break
Break
9:30 AM - 9:40 AM
9:40 AM
9:40 AM - 10:30 AM
Room: https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09
Contributions

9:40 AM EXO Summary - Igor Ostrovskiy

10:00 AM Towards Deep Neural Network Analysis of Xe137 Decays to the Excited state of Cs137 in EXO-200 Data - Seth Thibado (University of Massechusetts)

10:10 AM Simulating scintillation signals in EXO-200 with GANs - Shaolei Li (University of Illinois at Urbana-Champaign)
10:30 AM Break
Break
10:30 AM - 11:00 AM
11:00 AM Roundtable discussion
Roundtable discussion
11:00 AM - 11:30 AM
Contributions

11:00 AM Room 1: Ensuring robustness to systematics

11:00 AM Room 2: Quantifying uncertainties in inference
11:30 AM

11:30 AM - 12:00 PM
Room: https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09
Friday, August 7, 2020

8:00 AM

8:00 AM - 8:15 AM
Room: https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09
8:15 AM
8:15 AM - 9:20 AM
Room: https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09
Contributions

8:15 AM Measurements using all available information with OmniFold - Benjamin Nachman

8:45 AM Lessons from Industry - Manuel Weber (Descartes Labs)
9:20 AM Break
Break
9:20 AM - 9:30 AM
9:30 AM
9:30 AM - 10:30 AM
Room: https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09
Contributions

9:30 AM Reconstruction and machine learning for water Cherenkov detectors - Nick Prouse (TRIUMF) Patrick de Perio

9:50 AM Summary of Machine Learning Applications for the COHERENT Collaboration - Peibo An (Duke University)

10:10 AM Physics-informed Gaussian Process for Real-time Tuning and Control of Particle Accelerators - Adi Hanuka (SLAC)
10:30 AM Break
Break
10:30 AM - 11:00 AM

11:00 AM

11:00 AM - 12:00 PM
Room: https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09

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