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@article{DBLP:journals/corr/abs-1902-00522,
  author       = {Gabrielle Allen and
                  Igor Andreoni and
                  Etienne Bachelet and
                  G. Bruce Berriman and
                  Federica B. Bianco and
                  Rahul Biswas and
                  Matias Carrasco Kind and
                  Kyle Chard and
                  Minsik Cho and
                  Philip S. Cowperthwaite and
                  Zachariah B. Etienne and
                  Daniel George and
                  Tom Gibbs and
                  Matthew J. Graham and
                  William Gropp and
                  Anushri Gupta and
                  Roland Haas and
                  E. A. Huerta and
                  Elise Jennings and
                  Daniel S. Katz and
                  Asad Khan and
                  Volodymyr V. Kindratenko and
                  William T. C. Kramer and
                  Xin Liu and
                  Ashish Mahabal and
                  Kenton McHenry and
                  J. M. Miller and
                  Mark S. Neubauer and
                  Steve Oberlin and
                  Alexander Reinefeld and
                  Shawn Rosofsky and
                  Milton Ruiz and
                  Aaron Saxton and
                  Bernard F. Schutz and
                  Alexander G. Schwing and
                  Ed Seidel and
                  Stuart L. Shapiro and
                  Hongyu Shen and
                  Yue Shen and
                  Brigitta Miksztai{-}R{\'{e}}they and
                  Lunan Sun and
                  John Towns and
                  Antonios Tsokaros and
                  Wei Wei and
                  Jack Wells and
                  Timothy J. Williams and
                  Jinjun Xiong and
                  Zhizhen Zhao},
  title        = {Deep Learning for Multi-Messenger Astrophysics: {A} Gateway for Discovery
                  in the Big Data Era},
  journal      = {CoRR},
  volume       = {abs/1902.00522},
  year         = {2019},
  url          = {http://arxiv.org/abs/1902.00522},
  eprinttype    = {arXiv},
  eprint       = {1902.00522},
  timestamp    = {Wed, 09 Mar 2022 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1902-00522.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}