08:00
|
Tutorial
(until 10:00)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
08:00
|
Getting Started with Machine Learning
-
Scott Kravitz
(Lawrence Berkeley National Lab)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
10:00
|
--- Break ---
|
10:30
|
Processing of Graph-structured Data: An Introduction
-
Waheed Bajwa
(Rutgers)
Venkat Roy
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
|
08:00
|
Introduction to DANCE-ML and Workshop
-
Christopher Tunnell
(Rice)
Scott Kravitz
(Lawrence Berkeley National Lab)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
08:15
|
Unsupervised/semi-supervised learning
(until 09:10)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
08:15
|
A readily-interpretable fully-convolutional autoencoder-like model for unlabelled waveform analysis
-
Ben Krikler
(Bristol)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
08:45
|
PMT waveform analysis in neutrino experiments
-
Dacheng Xu
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
09:10
|
--- Break ---
|
09:20
|
Unsupervised/semi-supervised learning
(until 10:30)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
09:20
|
Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks
-
Nina Miolane
FREDERIC POITEVIN
(LCLS, SLAC)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
09:50
|
LUX Summary
-
Scott Kravitz
(Lawrence Berkeley National Lab)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
10:10
|
Anomaly finding in the LZ dark matter experiment
-
Chami Amarasinghe
(University of Michigan)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
10:30
|
--- Break ---
|
11:00
|
Unsupervised/semi-supervised learning
(until 11:30)
()
|
11:00
|
Room 1: Anomaly finding - applications and limitations
(https://lbnl.zoom.us/j/96603710796?pwd=WVpmZVlyS3paQjQ0bFh4OXRCWjd0Zz09)
|
11:00
|
Room 2: How to design + when to apply generative models
(https://lbnl.zoom.us/j/99045515674?pwd=R2RIcVBFNzY4V0VhcTlyazJPUXhzQT09)
|
11:30
|
Open discussion
(until 12:00)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
|
08:00
|
Review
(until 08:15)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
08:15
|
Reconstruction and whitepaper
(until 09:15)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
08:15
|
Holistic Machine Learning Approach to Particle-Flow Reconstruction in Imaging Neutrino Detectors
-
Francois Drielsma
Francois Drielsma
(SLAC)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
08:45
|
Machine Learning at the Edge: Intelligent Data Triage in Real Time
-
Ryan Coffee Prof.
Audrey Corbeil Therrien
(Université de Sherbrooke)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
09:15
|
--- Break ---
|
09:25
|
Reconstruction and whitepaper
(until 10:30)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
09:25
|
Signal corrections of XENON1T Dark Matter detector
-
Tianyu Zhu
(Columbia University)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
09:35
|
Graph Neural Network for Position Reconstruction
-
Shixiao Liang
(Rice University)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
09:45
|
Convolutional neural network for S2 position reconstruction
-
Andrii Terliuk
(MPIK, Heidelberg / Heidelberg University)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
09:55
|
Machine Learning at SuperCDMS
-
To Chin Yu
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
10:15
|
Energy Reconstruction with Variational Autoencoders in SuperCDMS
-
Ashley Li
(University of British Columbia)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
10:30
|
--- Break ---
|
11:00
|
Reconstruction and whitepaper
(until 11:30)
()
|
11:00
|
Room 1: Snowmass planning (cross-collaboration LOI)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
11:00
|
Room 2: Position and energy reconstruction
(https://uasystem.zoom.us/j/92391291379?pwd=Uk5TNEVsT1BUVHVkd1ZIbTJpNGhWZz09)
|
11:30
|
Open discussion
(until 12:00)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
|
08:00
|
Review
(until 08:15)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
08:15
|
Interpretability and uncertainty estimation
(until 09:30)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
08:15
|
Mapping Machine-Learned Physics into a Human-Readable Space
-
Daniel Whiteson
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
08:45
|
PandaX-III, Investigation of possible features for the classification of signal and background with CNN
-
Shaobo Wang
Shangning Xia
Suizhi Huang
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
09:05
|
Machine learning for Neutrinoless Double Beta Decay in NEXT
-
Corey Adams
(Argonne National Laboratory)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
09:30
|
--- Break ---
|
09:40
|
Interpretability and uncertainty estimation
(until 10:30)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
09:40
|
EXO Summary
-
Igor Ostrovskiy
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
10:00
|
Towards Deep Neural Network Analysis of Xe137 Decays to the Excited state of Cs137 in EXO-200 Data
-
Seth Thibado
(University of Massechusetts)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
10:10
|
Simulating scintillation signals in EXO-200 with GANs
-
Shaolei Li
(University of Illinois at Urbana-Champaign)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
10:30
|
--- Break ---
|
11:00
|
Interpretability and uncertainty estimation
(until 11:30)
()
|
11:00
|
Room 1: Ensuring robustness to systematics
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
11:00
|
Room 2: Quantifying uncertainties in inference
(https://uasystem.zoom.us/j/92391291379?pwd=Uk5TNEVsT1BUVHVkd1ZIbTJpNGhWZz09)
|
11:30
|
Open discussion
(until 12:00)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
|
08:00
|
Review
(until 08:15)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
08:15
|
Simulation and all other topics
(until 09:20)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
08:15
|
Measurements using all available information with OmniFold
-
Benjamin Nachman
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
08:45
|
Lessons from Industry
-
Manuel Weber
(Descartes Labs)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
09:20
|
--- Break ---
|
09:30
|
Simulation and all other topics
(until 10:30)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
09:30
|
Reconstruction and machine learning for water Cherenkov detectors
-
Patrick de Perio
Nick Prouse
(TRIUMF)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
09:50
|
Summary of Machine Learning Applications for the COHERENT Collaboration
-
Peibo An
(Duke University)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
10:10
|
Physics-informed Gaussian Process for Real-time Tuning and Control of Particle Accelerators
-
Adi Hanuka
(SLAC)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
10:30
|
--- Break ---
|
11:00
|
Careers panel
(until 12:00)
(https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)
|
|