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Optimizing Convolutional Neural Networks for Cloud Detection., , , , and . MLHPC@SC, page 4:1-4:9. ACM, (2017)Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion., , , , and . ACC, page 1830-1835. IEEE, (2021)Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment., , , , , , , , , and 1 other author(s). IJCNN, page 1-9. IEEE, (2020)Deep Learning for Vertex Reconstruction of Neutrino-nucleus Interaction Events with Combined Energy and Time Data., , , , , and . ICASSP, page 3882-3886. IEEE, (2019)A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers, , , , , , , , and . (2017)cite arxiv:1703.05364.Optimizing deep learning hyper-parameters through an evolutionary algorithm., , , , and . MLHPC@SC, page 4:1-4:5. ACM, (2015)A 1 TOPS/W Analog Deep Machine-Learning Engine With Floating-Gate Storage in 0.13 µm CMOS., , , and . IEEE J. Solid State Circuits, 50 (1): 270-281 (2015)Analog inference circuits for deep learning., , , and . BioCAS, page 1-4. IEEE, (2015)Hierarchical spatiotemporal feature extraction using recurrent online clustering., , , and . Pattern Recognit. Lett., (2014)Inferring Convolutional Neural Networks' accuracies from their architectural characterizations., , , , , and . CoRR, (2020)