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Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing.

, , , , , and . ICASSP, page 8549-8553. IEEE, (2020)

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Exploring Memory-Oriented Design Optimization of Edge AI Hardware for Extended Reality Applications., , , , , and . IEEE Micro, 43 (6): 40-49 (November 2023)Energy-Efficient Neural Computing with Approximate Multipliers., , , , and . ACM J. Emerg. Technol. Comput. Syst., 14 (2): 16:1-16:23 (2018)Enabling Spike-based Backpropagation in State-of-the-art Deep Neural Network Architectures., , and . CoRR, (2019)DRESS: Dynamic REal-time Sparse Subnets., , , , , and . CoRR, (2022)Significance driven hybrid 8T-6T SRAM for energy-efficient synaptic storage in artificial neural networks., , , , and . DATE, page 151-156. IEEE, (2016)Siracusa: A Low-Power On-Sensor RISC-V SoC for Extended Reality Visual Processing in 16nm CMOS., , , , , , , , , and 2 other author(s). ESSCIRC, page 217-220. IEEE, (2023)Gabor filter assisted energy efficient fast learning Convolutional Neural Networks., , and . ISLPED, page 1-6. IEEE, (2017)Fully-Binarized Distance Computation based On-device Few-Shot Learning for XR applications., , , , , and . CVPR Workshops, page 4502-4508. IEEE, (2023)Invited - Cross-layer approximations for neuromorphic computing: from devices to circuits and systems., , , , , , and . DAC, page 98:1-98:6. ACM, (2016)Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing., , , , , and . ICASSP, page 8549-8553. IEEE, (2020)