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Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era., , , , , , , , , и 38 other автор(ы). CoRR, (2019)A Generalized Statistics-Based Model for Predicting Network-Induced Variability., , , , и . PMBS@SC, стр. 59-72. IEEE, (2019)Enabling real-time multi-messenger astrophysics discoveries with deep learning., , , , , , , , , и 50 other автор(ы). CoRR, (2019)Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping., , , , , , , , , и 2 other автор(ы). DLS@SC, стр. 52-61. IEEE, (2019)Bayesian Neural Networks at Scale: A Performance Analysis and Pruning Study., и . CoRR, (2020)Bayesian neural networks at scale: a performance analysis and pruning study., и . J. Supercomput., 77 (4): 3811-3839 (2021)A Kubernetes 'Bridge' operator between cloud and external resources., , и . CoRR, (2022)Deploying deep learning in OpenFOAM with TensorFlow., , , , и . CoRR, (2020)Maximizing Science in the Era of LSST: A Community-Based Study of Needed US Capabilities, , , , , , , , , и 41 other автор(ы). (05.10.2016)CosmoSIS: Modular cosmological parameter estimation., , , , , , , , и . Astron. Comput., (2015)