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The dropout learning algorithm., and . Artif. Intell., (2014)Learning in the machine: Random backpropagation and the deep learning channel., , and . Artif. Intell., (2018)Inter-species prediction of protein phosphorylation in the sbv IMPROVER species translation challenge., , , , , , , , , and . Bioinformatics, 31 (4): 453-461 (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)Learning Activation Functions to Improve Deep Neural Networks., , , and . ICLR (Workshop), (2015)Evolution-Informed Neural Networks for Microbiome Data Analysis., , and . BIBM, page 3386-3391. IEEE, (2021)Searching for Higgs Boson Decay Modes with Deep Learning., , and . NIPS, page 2393-2401. (2014)Learning Activation Functions to Improve Deep Neural Networks., , , and . CoRR, (2014)Synergies Between Quantum Mechanics and Machine Learning in Reaction Prediction., , , and . Journal of Chemical Information and Modeling, 56 (11): 2125-2128 (2016)Small-Molecule 3D Structure Prediction Using Open Crystallography Data., and . Journal of Chemical Information and Modeling, 53 (12): 3127-3130 (2013)