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08/21/2023
SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation
Large language Models (LLMs), though growing exceedingly powerful, compr...
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07/08/2023
Deep Unsupervised Learning Using Spike-Timing-Dependent Plasticity
Spike-Timing-Dependent Plasticity (STDP) is an unsupervised learning mec...
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09/15/2022
Astromorphic Self-Repair of Neuromorphic Hardware Systems
While neuromorphic computing architectures based on Spiking Neural Netwo...
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09/14/2022
Sequence Learning using Equilibrium Propagation
Equilibrium Propagation (EP) is a powerful and more bio-plausible altern...
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09/08/2020
On the Self-Repair Role of Astrocytes in STDP Enabled Unsupervised SNNs
Neuromorphic computing has recently emerged as a disruptive computationa...
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02/24/2020
Exploring the Connection Between Binary and Spiking Neural Networks
On-chip edge intelligence has necessitated the exploration of algorithmi...
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11/16/2019
Exploiting Oxide Based Resistive RAM Variability for Bayesian Neural Network Hardware Design
Uncertainty plays a key role in real-time machine learning. As a signifi...
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11/16/2019
Exploiting Oxide Based Resistive RAM Variability for Probabilistic AI Hardware Design
Uncertainty plays a key role in real-time machine learning. As a signifi...
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08/31/2018
Rx-Caffe: Framework for evaluating and training Deep Neural Networks on Resistive Crossbars
Deep Neural Networks (DNNs) are widely used to perform machine learning ...
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02/07/2018
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures
Over the past few years, Spiking Neural Networks (SNNs) have become popu...
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08/26/2017
TraNNsformer: Neural Network Transformation for Memristive Crossbar based Neuromorphic System Design
Implementation of Neuromorphic Systems using post Complementary Metal-Ox...
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02/20/2017
