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Deep Sensing of Ocean Wave Heights with Synthetic Aperture Radar.

, , , and . AAAI Spring Symposium: MLPS, volume 2587 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)

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Learning Activation Functions to Improve Deep Neural Networks., , , and . ICLR (Workshop), (2015)Deep Learning, Dark Knowledge, and Dark Matter., , , and . HEPML@NIPS, volume 42 of JMLR Workshop and Conference Proceedings, page 81-87. JMLR.org, (2014)Evolution-Informed Neural Networks for Microbiome Data Analysis., , and . BIBM, page 3386-3391. IEEE, (2021)Deep Learning for Experimental Physics.. University of California, Irvine, USA, (2016)base-search.net (ftcdlib:qt5qb7z23t).Learning in the Machine: Random Backpropagation and the Deep Learning Channel (Extended Abstract)., , and . IJCAI, page 6348-6352. ijcai.org, (2019)Synergies Between Quantum Mechanics and Machine Learning in Reaction Prediction., , , and . J. Chem. Inf. Model., 56 (11): 2125-2128 (2016)Deep Learning in the Natural Sciences: Applications to Physics., and . Braverman Readings in Machine Learning, volume 11100 of Lecture Notes in Computer Science, page 269-297. Springer, (2017)Deep autoencoder neural networks for gene ontology annotation predictions., , and . BCB, page 533-540. ACM, (2014)Searching for Higgs Boson Decay Modes with Deep Learning., , and . NIPS, page 2393-2401. (2014)Revealing Fundamental Physics from the Daya Bay Neutrino Experiment Using Deep Neural Networks., , , , , , , and . ICMLA, page 892-897. IEEE Computer Society, (2016)