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05/22/2019
A framework for the extraction of Deep Neural Networks by leveraging public data
Machine learning models trained on confidential datasets are increasingl...
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03/13/2018
A case for multiple and parallel RRAMs as synaptic model for training SNNs
To enable a dense integration of model synapses in a spiking neural netw...
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09/08/2017
An On-chip Trainable and Clock-less Spiking Neural Network with 1R Memristive Synapses
Spiking neural networks (SNNs) are being explored in an attempt to mimic...
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04/06/2017
