Gopalakrishnan Srinivasan

Publication Activity (10 Years)

Years Active: 2005-2021
Publications (10 Years): 31

Top Topics

Biologically Plausible

Structured Learning

Top Venues

IEEE Trans. Circuits Syst. I Regul. Pap.

IEEE J. Emerg. Sel. Topics Circuits Syst.

Publications

Yinghan Long, Indranil Chakraborty, Gopalakrishnan Srinivasan, Kaushik Roy
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems. CoRR (2021)
Yinghan Long, Indranil Chakraborty, Gopalakrishnan Srinivasan, Kaushik Roy
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems. ICDCS (2021)
Minsuk Koo, Gopalakrishnan Srinivasan, Yong Shim, Kaushik Roy
sBSNN: Stochastic-Bits Enabled Binary Spiking Neural Network With On-Chip Learning for Energy Efficient Neuromorphic Computing at the Edge. IEEE Trans. Circuits Syst. I Regul. Pap. (8) (2020)
Amogh Agrawal, Indranil Chakraborty, Deboleena Roy, Utkarsh Saxena, Saima Sharmin, Minsuk Koo, Yong Shim, Gopalakrishnan Srinivasan, Chamika M. Liyanagedera, Abhronil Sengupta, Kaushik Roy
Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies. IEEE Trans. Very Large Scale Integr. Syst. 28 (12) (2020)
Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network. CVPR (2020)
Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy
RMP-SNNs: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Networks. CoRR (2020)
Sourjya Roy, Priyadarshini Panda, Gopalakrishnan Srinivasan, Anand Raghunathan
Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks. CoRR (2020)
Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation. CoRR (2020)
Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation. ICLR (2020)
Jason M. Allred, Steven J. Spencer, Gopalakrishnan Srinivasan, Kaushik Roy
Explicitly Trained Spiking Sparsity in Spiking Neural Networks with Backpropagation. CoRR (2020)
Krishna Reddy Kesari, Priyadarshini Panda, Gopalakrishnan Srinivasan, Kaushik Roy
Enabling Homeostasis using Temporal Decay Mechanisms in Spiking CNNs Trained with Unsupervised Spike Timing Dependent Plasticity. IJCNN (2020)
Gopalakrishnan Srinivasan, Chankyu Lee, Abhronil Sengupta, Priyadarshini Panda, Syed Shakib Sarwar, Kaushik Roy
Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing. ICASSP (2020)
Minsuk Koo, Gopalakrishnan Srinivasan, Yong Shim, Kaushik Roy
sBSNN: Stochastic-Bits Enabled Binary Spiking Neural Network with On-Chip Learning for Energy Efficient Neuromorphic Computing at the Edge. CoRR (2020)
Sourjya Roy, Priyadarshini Panda, Gopalakrishnan Srinivasan, Anand Raghunathan
Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks. IJCNN (2020)
Deboleena Roy, Gopalakrishnan Srinivasan, Priyadarshini Panda, Richard Tomsett, Nirmit Desai, Raghu K. Ganti, Kaushik Roy
Neural Networks at the Edge. SMARTCOMP (2019)
Yinghan Long, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy
Structured Learning for Action Recognition in Videos. IEEE J. Emerg. Sel. Topics Circuits Syst. 9 (3) (2019)
Chankyu Lee, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy
Deep Spiking Convolutional Neural Network Trained With Unsupervised Spike-Timing-Dependent Plasticity. IEEE Trans. Cogn. Dev. Syst. 11 (3) (2019)
Wachirawit Ponghiran, Gopalakrishnan Srinivasan, Kaushik Roy
Reinforcement Learning with Low-Complexity Liquid State Machines. CoRR (2019)
Gopalakrishnan Srinivasan, Kaushik Roy
ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing. CoRR (2019)
Amogh Agrawal, Akhilesh Jaiswal, Deboleena Roy, Bing Han, Gopalakrishnan Srinivasan, Aayush Ankit, Kaushik Roy
Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays. IEEE Trans. Circuits Syst. I Regul. Pap. (8) (2019)
Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy
STDP-based Unsupervised Feature Learning using Convolution-over-time in Spiking Neural Networks for Energy-Efficient Neuromorphic Computing. ACM J. Emerg. Technol. Comput. Syst. 14 (4) (2018)
Syed Shakib Sarwar, Gopalakrishnan Srinivasan, Bing Han, Parami Wijesinghe, Akhilesh Jaiswal, Priyadarshini Panda, Anand Raghunathan, Kaushik Roy
Energy Efficient Neural Computing: A Study of Cross-Layer Approximations. IEEE J. Emerg. Sel. Topics Circuits Syst. 8 (4) (2018)
Amogh Agrawal, Akhilesh Jaiswal, Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy
Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays. CoRR (2018)
Priyadarshini Panda, Gopalakrishnan Srinivasan, Kaushik Roy
EnsembleSNN: Distributed assistive STDP learning for energy-efficient recognition in spiking neural networks. IJCNN (2017)
Priyadarshini Panda, Gopalakrishnan Srinivasan, Kaushik Roy
Convolutional Spike Timing Dependent Plasticity based Feature Learning in Spiking Neural Networks. CoRR (2017)
Gopalakrishnan Srinivasan, Sourjya Roy, Vijay Raghunathan, Kaushik Roy
Spike timing dependent plasticity based enhanced self-learning for efficient pattern recognition in spiking neural networks. IJCNN (2017)
Gopalakrishnan Srinivasan, Abhronil Sengupta, Kaushik Roy
Magnetic tunnel junction enabled all-spin stochastic spiking neural network. DATE (2017)
Akhilesh Jaiswal, Sourjya Roy, Gopalakrishnan Srinivasan, Kaushik Roy
Proposal for a Leaky-Integrate-Fire Spiking Neuron based on Magneto-Electric Switching of Ferro-magnets. CoRR (2016)
Gopalakrishnan Srinivasan, Parami Wijesinghe, Syed Shakib Sarwar, Akhilesh Jaiswal, Kaushik Roy
Significance driven hybrid 8T-6T SRAM for energy-efficient synaptic storage in artificial neural networks. DATE (2016)
Gopalakrishnan Srinivasan, Parami Wijesinghe, Syed Shakib Sarwar, Akhilesh Jaiswal, Kaushik Roy
Significance Driven Hybrid 8T-6T SRAM for Energy-Efficient Synaptic Storage in Artificial Neural Networks. CoRR (2016)
Priyadarshini Panda, Abhronil Sengupta, Syed Shakib Sarwar, Gopalakrishnan Srinivasan, Swagath Venkataramani, Anand Raghunathan, Kaushik Roy
Invited - Cross-layer approximations for neuromorphic computing: from devices to circuits and systems. DAC (2016)
D. Roy Mahapatra, Debi Prasad Ghosh, Gopalakrishnan Srinivasan
Multiscale Finite Element Modeling of the Coupled Nonlinear Dynamics of Magnetostrictive Composite Thin Film. International Conference on Computational Science (3) (2005)