DANCE Machine Learning Workshop 2020

US/Pacific
https://lbnl.zoom.us/j/94735075450?pwd=a2U1RGZMODJnZ2xWWnFoc25nbDhuUT09 ()

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

Christopher Tunnell (Rice), Igor Ostrovskiy, Kazuhiro Terao, Scott Kravitz (Lawrence Berkeley National Lab)
Description

Dark-matter and Neutrino Computation Explored (DANCE) Machine Learning Workshop 2020

Slido links:

Live questions, careers panel

Recordings can be found in the timetable. In some cases, they are attached to the specific talk, i.e. "detailed" view, in other cases to the session or the "intro" or "review" at the start of the day. Unedited versions are being added first, followed by edited versions when available for the respective session being recorded.

Building on the success of the DANCE computing workshop, DANCE-ML will provide a forum to share and discuss machine learning applications in the context of the dark matter direct detection and neutrino physics community. As these experiments grow in size and complexity, the ability to extract as much useful information as possible from the underlying data becomes crucial. The goal of this workshop is to bridge the gap between broader scientific machine learning clinics and workshops geared toward large accelerator experiments, so that we can better solve the unique challenges of our shared domain. All those interested in machine learning within or adjacent to these areas are encouraged to attend, regardless of position or experience.

Due to the ongoing COVID-19 epidemic, this workshop will be held virtually via Zoom rather than in-person at LBNL as originally planned.

The registration deadline is July 12 now Aug 2. Attendees are encouraged to register as soon as convenient to facilitate session planning. Registration is free, but required for all attendees.

If you would like to share on Twitter, please use #DANCEML.

Program

The first day will be spent on interactive tutorials (one aimed at novice ML practitioners, one more advanced), with each of the four subsequent days centered around a topic identified as a priority at DANCE 2019:

  1. Unsupervised/semi-supervised learning
  2. Reconstruction and triggers
  3. Interpretability and uncertainty estimation
  4. Simulation and all other topics
In each topical session, we will have invited talks, including new ideas from outside our immediate community, as well as brief summaries of ongoing work in the field. Following these presentations will be time for roundtable discussion of current issues and how to solve them. We specifically encourage presentation and discussion of developing techniques and roadblocks experienced while exploring them - final results are not required. 

Organizing Committee

Scott Kravitz - LBNL
Igor Ostrovskiy - University of Alabama
Kazuhiro Terao - SLAC
Christopher Tunnell - Rice University

Participants
  • Aaron Higuera
  • Abhishek Kumar Jha
  • Adi Hanuka
  • Adrian Thompson
  • Aiham Al Musalhi
  • Akshay Chatla
  • Alaka B G
  • Alejandro Oranday
  • Alejandro Ramirez
  • Aleksandr Chepurnov
  • Alexander Kish
  • Alexander Zaytsev
  • Alexandra Davies
  • Alexey Grobov
  • Ami Dabokemp
  • Andrea Pocar
  • Andrew Stevens
  • Andrew Ziegler
  • Andrii Terliuk
  • Ariel Zuñiga Reyes
  • Ashley Li
  • Audrey Corbeil Therrien
  • Austin Vaitkus
  • Baobiao Yue
  • Ben Krikler
  • Benda Xu
  • Benjamin Nachman
  • Bernadette Cogswell
  • Biao Wang
  • Billy Boxer
  • Brian Mong
  • Burkhant Suerfu
  • Caleb Fink
  • Carlos Faham
  • Chamindu Amarasinghe
  • Chi Lung Cheng
  • Christopher McCabe
  • Christopher Tunnell
  • Cindy Lin
  • Claudia De Dominicis
  • Connor Bray
  • Corey Adams
  • Cristina Martellini
  • Dacheng Xu
  • Dan Zhang
  • Daniel Kodroff
  • Daniel Ohara
  • Daniel Whiteson
  • Darren Price
  • David Cerdeno
  • David Front
  • Deepak Tiwari
  • Dorian Amaral
  • Dylan Temples
  • Edgar Sanchez
  • Elham Azadbakht
  • Elizabeth Leason
  • Ellen Sandford
  • Emanuele Michielin
  • Erica Smith
  • Erick Jhordan Reategui Rojas
  • Erin Hansen
  • Erwann Masson
  • Ewan Fraser
  • Fei Gao
  • Felicia Sutanto
  • feng huang
  • Francesco Lombardi
  • Francois Drielsma
  • FREDERIC POITEVIN
  • Fusang WANG
  • Gavin Cox
  • Geon-Bo Kim
  • Georgios PAPADOPOULOS
  • Gillian Bogert
  • Giuseppe Longo
  • Govinda Adhikari
  • Hagit Shatkay
  • Harisree Krishnamoorthy
  • Harvey Birch
  • Henning Schulze Eißing
  • Igor Ostrovskiy
  • ITISHREE SETHI
  • Ivy Li
  • James Watson
  • Jan Lommler
  • Jeanne Bang
  • Jelle Aalbers
  • Jiawei Deng
  • Jiawen Zeng
  • Jie FENG
  • Jinnan Zhang
  • Jordan Palmer
  • Jorge Morales
  • Joseph Garvie
  • Josh Renner
  • Julia Sawatzki
  • Julie Rode
  • Julien Masbou
  • Jyothisraj Johnson
  • Kazuhiro Terao
  • Kelly Stifter
  • kenji kadota
  • Kevin O'Sullivan
  • Kevin Wykoff
  • Kexin Liu
  • Laura Domine
  • Lea Di Noto
  • Luis Mora Lepin
  • Luis Sanchez
  • Luke Kreczko
  • Manas Mohapatra
  • Manish Kumar Gupta
  • Manuel Weber
  • Marcin Kuzniak
  • Marcin Wierzbiński
  • Marcos Dracos
  • Marek Wiejak
  • Maria Elena Monzani
  • Mariangela Settimo
  • Marija Kekic
  • Maris Arthurs
  • Masaki Yamashita
  • Masayuki Wada
  • Mateusz Denys
  • Matteo Vicenzi
  • Matthew Stukel
  • Matthias Mayer
  • Maxime Pierre
  • Melissa Baiocchi
  • Menghan Li
  • Miao Yu
  • Micah Buuck
  • Michael Nieslony
  • Michael Poehlmann
  • Michal Rigan
  • Michal Tarka
  • Michela Lai
  • Michelangelo Traina
  • miguel cifuentes
  • Miguel Hernandez
  • Min Zhong
  • Mirco Huennefeld
  • Miriam Diamond
  • Mitchell Karmen
  • Mohamed Elbeltagi
  • Moon Moon Devi
  • Morgan Elise McCarthy
  • Nasir Shaheed
  • Niamh Fearon
  • Nick Prouse
  • Nils Brast
  • Omar Jahangir
  • Oz Amram
  • Pablo Martín
  • Patrick Meinhardt
  • Pavel Kavrigin
  • Peibo An
  • Peter Gaemers
  • Peter Sorensen
  • Philippe Di Stefano
  • Pietro Di Gangi
  • Piotr Gawron
  • PRATYUSH PATEL
  • Priyanka Kachru
  • Pueh Leng Tan
  • Rachana Yajur
  • Reddy Pratap Gandrajula
  • Robert Kralik
  • Roberto Ruiz
  • Roberto Trotta
  • Roger Huang
  • Ron Wurtz
  • Rui Zhang
  • Runxuan Liu
  • Ryan Bayes
  • Ryan Pavlovsky
  • Sai Sankeerth Sarvade
  • Samuel Watkins
  • Scott Kravitz
  • Sebastian Torres-Lara
  • Seth Thibado
  • Shangning Xia
  • Shaobo WANG
  • Shaolei Li
  • Shigetaka Moriyama
  • Shingo Kazama
  • Shixiao Liang
  • sicheng chen
  • Silvia Scorza
  • Simone Stracka
  • SINGIRALA SHIVA RAMA KRISHNA
  • Sophia Andaloro
  • Stephane Zsoldos
  • Stephen Menary
  • Suchismita Sahoo
  • Suizhi Huang
  • Suizhi HUANG
  • Sumanta Pal
  • Tianji Cai
  • Tianyu Zhu
  • Tim Michael Heinz Wolf
  • Tina Peters
  • To Chin Yu
  • Tomasz Rybotycki
  • Tyler Erjavec
  • Valerio Ippolito
  • Venkat Roy
  • Vetri Velan
  • Victor Goicoechea Casanueva
  • Waheed Bajwa
  • Wei Dou
  • Wenjie Wu
  • Will Turner
  • Wojciech Rogala
  • Xiaobin Lu
  • Xin Xiang
  • Xinning Zeng
  • xinran li
  • Xuefeng Ding
  • Xun Chen
  • Yanina Biondi
  • Yann Gouttenoire
  • Yifan Chen
  • yingfan chen
  • Yiping Wang
  • Yiyang Wu
  • Yoshitaka Itow
  • Yu Chen
  • Yufan Qie
  • Yuyi Wang
  • Zhiheng Sheng
  • Zhou Huang