Abhronil Sengupta | DeepAI

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Featured Co-authors

Kaushik Roy
121 publications
Priyadarshini Panda
69 publications
Anand Raghunathan
24 publications
Yuting Ye
21 publications
Shubham Jain
15 publications
Aayush Ankit
11 publications
Robert Wang
10 publications
Akul Malhotra
5 publications
Sen Lu
5 publications
Chiao Liu
3 publications
Malyaban Bal
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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...

0 Malyaban Bal, et al. ∙

∙ 07/08/2023

Deep Unsupervised Learning Using Spike-Timing-Dependent Plasticity

Spike-Timing-Dependent Plasticity (STDP) is an unsupervised learning mec...

0 Sen Lu, et al. ∙

∙ 09/15/2022

Astromorphic Self-Repair of Neuromorphic Hardware Systems

While neuromorphic computing architectures based on Spiking Neural Netwo...

0 Zhuangyu Han, et al. ∙

∙ 09/14/2022

Sequence Learning using Equilibrium Propagation

Equilibrium Propagation (EP) is a powerful and more bio-plausible altern...

0 Malyaban Bal, et al. ∙

∙ 09/08/2020

On the Self-Repair Role of Astrocytes in STDP Enabled Unsupervised SNNs

Neuromorphic computing has recently emerged as a disruptive computationa...

4 Mehul Rastogi, et al. ∙

∙ 02/24/2020

Exploring the Connection Between Binary and Spiking Neural Networks

On-chip edge intelligence has necessitated the exploration of algorithmi...

0 Sen Lu, et al. ∙

∙ 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...

0 Akul Malhotra, et al. ∙

∙ 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...

0 Akul Malhotra, et al. ∙

∙ 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 ...

0 Shubham Jain, et al. ∙

∙ 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...

0 Abhronil Sengupta, et al. ∙

∙ 08/26/2017

TraNNsformer: Neural Network Transformation for Memristive Crossbar based Neuromorphic System Design

Implementation of Neuromorphic Systems using post Complementary Metal-Ox...

0 Aayush Ankit, et al. ∙

∙ 02/20/2017

RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks

Neuromorphic computing using post-CMOS technologies is gaining immense p...

0 Aayush Ankit, et al. ∙

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