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08/11/2022
Learning Point Processes using Recurrent Graph Network
We present a novel Recurrent Graph Network (RGN) approach for predicting...
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04/21/2021
A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection
This paper proposes a Fully Spiking Hybrid Neural Network (FSHNN) for en...
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09/11/2019
Improving Robustness of ReRAM-based Spiking Neural Network Accelerator with Stochastic Spike-timing-dependent-plasticity
Spike-timing-dependent-plasticity (STDP) is an unsupervised learning alg...
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09/11/2019
ScieNet: Deep Learning with Spike-assisted Contextual Information Extraction
Deep neural networks (DNNs) provide high image classification accuracy, ...
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06/19/2018
