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Gopalakrishnan Srinivasan
Gopalakrishnan Srinivasan
Assistant Professor at IIT Madras
Verified email at cse.iitm.ac.in
Title
Cited by
Cited by
Year
Enabling spike-based backpropagation for training deep neural network architectures
C Lee, SS Sarwar, P Panda, G Srinivasan, K Roy
Frontiers in neuroscience 14, 497482, 2020
4062020
Rmp-snn: Residual membrane potential neuron for enabling deeper high-accuracy and low-latency spiking neural network
B Han, G Srinivasan, K Roy
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
3342020
Enabling deep spiking neural networks with hybrid conversion and spike timing dependent backpropagation
N Rathi, G Srinivasan, P Panda, K Roy
International Conference on Learning Representations (ICLR), 2020
3132020
Magnetic tunnel junction based long-term short-term stochastic synapse for a spiking neural network with on-chip STDP learning
G Srinivasan, A Sengupta, K Roy
Scientific reports 6 (1), 29545, 2016
2292016
Training deep spiking convolutional neural networks with STDP-based unsupervised pre-training followed by supervised fine-tuning
C Lee, P Panda, G Srinivasan, K Roy
Frontiers in neuroscience 12, 435, 2018
2172018
Deep spiking convolutional neural network trained with unsupervised spike-timing-dependent plasticity
C Lee, G Srinivasan, P Panda, K Roy
IEEE Transactions on Cognitive and Developmental Systems 11 (3), 384-394, 2018
1522018
Xcel-RAM: Accelerating binary neural networks in high-throughput SRAM compute arrays
A Agrawal, A Jaiswal, D Roy, B Han, G Srinivasan, A Ankit, K Roy
IEEE Transactions on Circuits and Systems I: Regular Papers 66 (8), 3064-3076, 2019
1172019
Proposal for a leaky-integrate-fire spiking neuron based on magnetoelectric switching of ferromagnets
A Jaiswal, S Roy, G Srinivasan, K Roy
IEEE Transactions on Electron Devices 64 (4), 1818-1824, 2017
812017
Restocnet: Residual stochastic binary convolutional spiking neural network for memory-efficient neuromorphic computing
G Srinivasan, K Roy
Frontiers in neuroscience 13, 189, 2019
742019
Stdp-based unsupervised feature learning using convolution-over-time in spiking neural networks for energy-efficient neuromorphic computing
G Srinivasan, P Panda, K Roy
ACM Journal on Emerging Technologies in Computing Systems (JETC) 14 (4), 1-12, 2018
68*2018
Perovskite neural trees
HT Zhang, TJ Park, IA Zaluzhnyy, Q Wang, SN Wadekar, S Manna, ...
Nature communications 11 (1), 2245, 2020
552020
Analysis of liquid ensembles for enhancing the performance and accuracy of liquid state machines
P Wijesinghe, G Srinivasan, P Panda, K Roy
Frontiers in neuroscience 13, 504, 2019
542019
Energy efficient neural computing: A study of cross-layer approximations
SS Sarwar, G Srinivasan, B Han, P Wijesinghe, A Jaiswal, P Panda, ...
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (4 …, 2018
512018
Magnetic tunnel junction enabled all-spin stochastic spiking neural network
G Srinivasan, A Sengupta, K Roy
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017
472017
Significance driven hybrid 8T-6T SRAM for energy-efficient synaptic storage in artificial neural networks
G Srinivasan, P Wijesinghe, SS Sarwar, A Jaiswal, K Roy
2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), 151-156, 2016
462016
Cross-layer approximations for neuromorphic computing: From devices to circuits and systems
P Panda, A Sengupta, SS Sarwar, G Srinivasan, S Venkataramani, ...
Proceedings of the 53rd Annual Design Automation Conference, 1-6, 2016
452016
Spilinc: Spiking liquid-ensemble computing for unsupervised speech and image recognition
G Srinivasan, P Panda, K Roy
Frontiers in neuroscience 12, 524, 2018
412018
SBSNN: Stochastic-bits enabled binary spiking neural network with on-chip learning for energy efficient neuromorphic computing at the edge
M Koo, G Srinivasan, Y Shim, K Roy
IEEE Transactions on Circuits and Systems I: Regular Papers 67 (8), 2546-2555, 2020
392020
Pruning filters while training for efficiently optimizing deep learning networks
S Roy, P Panda, G Srinivasan, A Raghunathan
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
302020
Spike timing dependent plasticity based enhanced self-learning for efficient pattern recognition in spiking neural networks
G Srinivasan, S Roy, V Raghunathan, K Roy
2017 International Joint Conference on Neural Networks (IJCNN), 1847-1854, 2017
282017
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