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, 3 August 2020 (08:00) to Friday, 7 August 2020 (14:05)
https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09

: Sessions

: Talks

: Breaks

3 Aug 2020

4 Aug 2020

5 Aug 2020

6 Aug 2020

7 Aug 2020

08:00	Tutorial (until 10:00) (https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09) ZoomRecording_Aug3_MachineLearningTutorial_raw.mp4
08:00	Getting Started with Machine Learning - Scott Kravitz (Lawrence Berkeley National Lab) (https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09) Github repo for tutorial ZoomRecording_Aug3_MachineLearningTutorial_Part1.mp4 ZoomRecording_Aug3_MachineLearningTutorial_Part2.mp4 ZoomRecording_Aug3_MachineLearningTutorial_raw.mp4
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) Tutorial Slides (Processing of Graph-structured Data: An Introduction) ZoomRecording_Aug3_GraphsTutorial_Comp.mp4 ZoomRecording_Aug3_GraphTutorial_raw.mp4 Sample Matlab Code circulant.m denoising_example.m evd_Laplacian.m

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) intro.pdf ZoomRecording_Aug4_FullWorkshop_raw.mp4 ZoomRecording_Aug4_Intro-Unlabelled-WF-Analysis_Comp.mp4
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) 200804 Unlabeled waveform ML.pdf
08:45	PMT waveform analysis in neutrino experiments - Dacheng Xu (https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09) main.pdf ZoomRecording_Aug4_PMT-WF-Analysis.mp4
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) 2020_DANCE_Miolane_Poitevin.pptx ZoomRecording_Aug4_Cryo-EM_Comp.mp4
09:50	LUX Summary - Scott Kravitz (Lawrence Berkeley National Lab) (https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09) LUX ML Overview DANCE-ML 2020.pdf ZoomRecording_Aug4_LUX-Summary_Comp.mp4
10:10	Anomaly finding in the LZ dark matter experiment - Chami Amarasinghe (University of Michigan) (https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09) Anomaly Finding in The LZ Dark Matter Experiment ZoomRecording_Aug4_Anomaly-Finding_Comp.mp4
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) drielsma_dance_ml_lartpc_particle_flow.pdf ZoomRecording_Aug5_Intro-Holistic-ML_Comp.mp4
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) Therrien_Coffee_DANCE-ML2020.pdf ZoomRecording_Aug5_DataTriage_Comp.mp4
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) DANCE2020.pdf ZoomRecording_Aug5_XENON-Group_Comp.mp4
09:35	Graph Neural Network for Position Reconstruction - Shixiao Liang (Rice University) (https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09) GNN_for_PosRec_SLiang_DANCE2020.pdf
09:45	Convolutional neural network for S2 position reconstruction - Andrii Terliuk (MPIK, Heidelberg / Heidelberg University) (https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09) Terliuk_20200803_XENONnT_S2CNN_reco.pdf
09:55	Machine Learning at SuperCDMS - To Chin Yu (https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09) MachineLearningCDMS.pdf ZoomRecording_Aug5_SuperCDMS_Comp.mp4
10:15	Energy Reconstruction with Variational Autoencoders in SuperCDMS - Ashley Li (University of British Columbia) (https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09) SuperCDMS_VAE_Slides_(FINAL).pdf
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) ZoomRecording_Aug5_Snowmass-LOI_Comp.mp4
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) DANCEML_interp.pdf ZoomRecording_Aug6_Intro-ML-Physics-Human-Readable_Comp.mp4
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) PandaX-III_DANCE-ML.pdf PandaX-III_DANCE-ML.pptx ZoomRecording_Aug6_PandaX-Sig-BG-CNN_Comp.mp4
09:05	Machine learning for Neutrinoless Double Beta Decay in NEXT - Corey Adams (Argonne National Laboratory) (https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09) DANCE-ML-NEXTpptx.pdf ZoomRecording_Aug6_ML-0vbb-NEXT_Comp.mp4
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) EXO_summary_DANCEML_Ostrovskiy_Aug2020.pdf ZoomRecording_Aug6_EXO-Group_Comp.mp4
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) Towards DNN Analysis of Xe137 decays to Cs137 in EXO-200.pdf
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) workshop-slides-Aug-shaolei.pdf
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) ThuDiscussionRoom2UncertaintiesInDNN02.mp4
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) SimulationBasedInferenceDANCE.pdf ZoomRecording_Aug7_Intro-OmniFold_Comp.mp4
08:45	Lessons from Industry - Manuel Weber (Descartes Labs) (https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09) DANCE ML Workshop 2020 Lessons from industry.pdf ZoomRecording_Aug7_Ind-Lessons_Comp.mp4
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) DANCE-ML_WatChMaL.pdf
09:50	Summary of Machine Learning Applications for the COHERENT Collaboration - Peibo An (Duke University) (https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09) DANCEworkshopCOHERENT.pdf ZoomRecording_Aug7_ML-COHERENT_Comp.mp4
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) ZoomRecording_Aug7_Gaussian-Process-RT-Tuning_Comp.mp4
10:30	--- Break ---
11:00	Careers panel (until 12:00) (https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09)