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3–7 Aug 2020
US/Pacific timezone

Session

Unsupervised/semi-supervised learning

4 Aug 2020, 08:15
https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09

https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09

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08:00
09:00
10:00
11:00
Ben Krikler
A readily-interpretable fully-convolutional autoencoder-like model for unlabelled waveform analysis
https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09
08:15 - 08:45
Dacheng Xu
PMT waveform analysis in neutrino experiments
https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09
08:45 - 09:00
FREDERIC POITEVIN et al.
Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks
https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09
09:20 - 09:50
Scott Kravitz
LUX Summary
https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09
09:50 - 10:05
Chami Amarasinghe
Anomaly finding in the LZ dark matter experiment
https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09
10:10 - 10:20
Room 1: Anomaly finding - applications and limitations
https://lbnl.zoom.us/j/96603710796?pwd=WVpmZVlyS3paQjQ0bFh4OXRCWjd0Zz09
11:00 - 11:30
Room 2: How to design + when to apply generative models
https://lbnl.zoom.us/j/99045515674?pwd=R2RIcVBFNzY4V0VhcTlyazJPUXhzQT09
11:00 - 11:30