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Energy-efficient, high-performance, highly-compressed deep neural network design using block-circulant matrices.

, , , , , and . ICCAD, page 458-465. IEEE, (2017)

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Stable spike-timing dependent plasticity rule for multilayer unsupervised and supervised learning., , , and . IJCNN, page 1999-2006. IEEE, (2017)Improving energy efficiency for energy harvesting embedded systems., , and . ASP-DAC, page 497-502. IEEE, (2013)Energy-efficient, high-performance, highly-compressed deep neural network design using block-circulant matrices., , , , , and . ICCAD, page 458-465. IEEE, (2017)High-Level Plan for Behavioral Robot Navigation with Natural Language Directions and R-NET., , , and . CoRR, (2020)An Event-driven Neuromorphic System with Biologically Plausible Temporal Dynamics., , , , and . ICCAD, page 1-8. ACM, (2019)Profile-Based Low Power Scheduling for Conditional Task Graph: A Communication Aware Approach., , and . ISCAS, page 2116-2119. IEEE, (2007)Efficient Recurrent Neural Networks using Structured Matrices in FPGAs., , , , , and . ICLR (Workshop), OpenReview.net, (2018)A General Framework to Map Neural Networks onto Neuromorphic Processor., , , , and . ISQED, page 20-25. IEEE, (2019)Modular Spiking Neural Circuits for Mapping Long Short-Term Memory on a Neurosynaptic Processor., , , , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 8 (4): 782-795 (2018)The stochastic modeling of TiO2 memristor and its usage in neuromorphic system design., , , , and . ASP-DAC, page 831-836. IEEE, (2014)