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%0 Journal Article
%1 journals/corr/abs-1902-00522
%A Allen, Gabrielle
%A Andreoni, Igor
%A Bachelet, Etienne
%A Berriman, G. Bruce
%A Bianco, Federica B.
%A Biswas, Rahul
%A Kind, Matias Carrasco
%A Chard, Kyle
%A Cho, Minsik
%A Cowperthwaite, Philip S.
%A Etienne, Zachariah B.
%A George, Daniel
%A Gibbs, Tom
%A Graham, Matthew J.
%A Gropp, William
%A Gupta, Anushri
%A Haas, Roland
%A Huerta, E. A.
%A Jennings, Elise
%A Katz, Daniel S.
%A Khan, Asad
%A Kindratenko, Volodymyr V.
%A Kramer, William T. C.
%A Liu, Xin
%A Mahabal, Ashish
%A McHenry, Kenton
%A Miller, J. M.
%A Neubauer, Mark
%A Oberlin, Steve
%A Reinefeld, Alexander
%A Rosofsky, Shawn
%A Ruiz, Milton
%A Saxton, Aaron
%A Schutz, Bernard F.
%A Schwing, Alexander G.
%A Seidel, Ed
%A Shapiro, Stuart L.
%A Shen, Hongyu
%A Shen, Yue
%A Miksztai-Réthey, Brigitta
%A Sun, Lunan
%A Towns, John
%A Tsokaros, Antonios
%A Wei, Wei
%A Wells, Jack
%A Williams, Timothy J.
%A Xiong, Jinjun
%A Zhao, Zhizhen
%D 2019
%J CoRR
%K dblp
%T Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.
%U http://dblp.uni-trier.de/db/journals/corr/corr1902.html#abs-1902-00522
%V abs/1902.00522
@article{journals/corr/abs-1902-00522,
added-at = {2019-12-04T00:00:00.000+0100},
author = {Allen, Gabrielle and Andreoni, Igor and Bachelet, Etienne and Berriman, G. Bruce and Bianco, Federica B. and Biswas, Rahul and Kind, Matias Carrasco and Chard, Kyle and Cho, Minsik and Cowperthwaite, Philip S. and Etienne, Zachariah B. and George, Daniel and Gibbs, Tom and Graham, Matthew J. and Gropp, William and Gupta, Anushri and Haas, Roland and Huerta, E. A. and Jennings, Elise and Katz, Daniel S. and Khan, Asad and Kindratenko, Volodymyr V. and Kramer, William T. C. and Liu, Xin and Mahabal, Ashish and McHenry, Kenton and Miller, J. M. and Neubauer, Mark and Oberlin, Steve and Reinefeld, Alexander and Rosofsky, Shawn and Ruiz, Milton and Saxton, Aaron and Schutz, Bernard F. and Schwing, Alexander G. and Seidel, Ed and Shapiro, Stuart L. and Shen, Hongyu and Shen, Yue and Miksztai-Réthey, Brigitta and Sun, Lunan and Towns, John and Tsokaros, Antonios and Wei, Wei and Wells, Jack and Williams, Timothy J. and Xiong, Jinjun and Zhao, Zhizhen},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/20b88356b5be458ba0bd69be161ce64bf/dblp},
ee = {http://arxiv.org/abs/1902.00522},
interhash = {e116b8c11eab5db0040697cd73382669},
intrahash = {0b88356b5be458ba0bd69be161ce64bf},
journal = {CoRR},
keywords = {dblp},
timestamp = {2019-12-11T12:54:57.000+0100},
title = {Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.},
url = {http://dblp.uni-trier.de/db/journals/corr/corr1902.html#abs-1902-00522},
volume = {abs/1902.00522},
year = 2019
}