Revealing Fundamental Physics from the Daya Bay Neutrino Experiment using Deep Neural Networks

28 January 2016

Papers citing "Revealing Fundamental Physics from the Daya Bay Neutrino Experiment using Deep Neural Networks"

5 / 5 papers shown

Title
Physics Community Needs, Tools, and Resources for Machine Learning Philip C. Harris E. Katsavounidis W. McCormack D. Rankin Yongbin Feng ... De-huai Chen Mark S. Neubauer Javier Mauricio Duarte G. Karagiorgi Miaoyuan Liu AI4CE 19 3 0 30 Mar 2022
Machine Learning in the Search for New Fundamental Physics G. Karagiorgi Gregor Kasieczka S. Kravitz Benjamin Nachman David Shih AI4CE 42 113 0 07 Dec 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 32 2 0 04 Jan 2021
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model A. G. Baydin Lukas Heinrich W. Bhimji Lei Shao Saeid Naderiparizi ... Philip Torr Victor W. Lee P. Prabhat Kyle Cranmer Frank D. Wood 26 31 0 20 Jul 2018
A trans-disciplinary review of deep learning research for water resources scientists Chaopeng Shen AI4CE 33 682 0 06 Dec 2017