Multiscale Finite Element Modeling of the Coupled Nonlinear Dynamics of Magnetostrictive Composite Thin Film. - D. Roy Mahapatra; Debi Prasad Ghosh; Gopalakrishnan Srinivasan (International Conference on Computational Science (3), 2005)

Invited - Cross-layer approximations for neuromorphic computing: from devices to circuits and systems. - Priyadarshini Panda; Abhronil Sengupta; Syed Shakib Sarwar; Gopalakrishnan Srinivasan; Swagath Venkataramani; Anand Raghunathan; Kaushik Roy 001 (DAC, 2016)

Significance driven hybrid 8T-6T SRAM for energy-efficient synaptic storage in artificial neural networks. - Gopalakrishnan Srinivasan; Parami Wijesinghe; Syed Shakib Sarwar; Akhilesh Jaiswal 001; Kaushik Roy 001 (DATE, 2016)

Proposal for a Leaky-Integrate-Fire Spiking Neuron based on Magneto-Electric Switching of Ferro-magnets. - Akhilesh Jaiswal 001; Sourjya Roy; Gopalakrishnan Srinivasan; Kaushik Roy 001 (CoRR, 2016)

Magnetic tunnel junction enabled all-spin stochastic spiking neural network. - Gopalakrishnan Srinivasan; Abhronil Sengupta; Kaushik Roy 001 (DATE, 2017)

EnsembleSNN: Distributed assistive STDP learning for energy-efficient recognition in spiking neural networks. - Priyadarshini Panda; Gopalakrishnan Srinivasan; Kaushik Roy 001 (IJCNN, 2017)

Spike timing dependent plasticity based enhanced self-learning for efficient pattern recognition in spiking neural networks. - Gopalakrishnan Srinivasan; Sourjya Roy; Vijay Raghunathan; Kaushik Roy 001 (IJCNN, 2017)

Convolutional Spike Timing Dependent Plasticity based Feature Learning in Spiking Neural Networks. - Priyadarshini Panda; Gopalakrishnan Srinivasan; Kaushik Roy 001 (CoRR, 2017)

Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays. - Amogh Agrawal; Akhilesh Jaiswal 001; Bing Han 006; Gopalakrishnan Srinivasan; Kaushik Roy 001 (CoRR, 2018)

Energy Efficient Neural Computing: A Study of Cross-Layer Approximations. - Syed Shakib Sarwar; Gopalakrishnan Srinivasan; Bing Han 006; Parami Wijesinghe; Akhilesh Jaiswal 001; Priyadarshini Panda; Anand Raghunathan; Kaushik Roy 001 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2018)

STDP-based Unsupervised Feature Learning using Convolution-over-time in Spiking Neural Networks for Energy-Efficient Neuromorphic Computing. - Gopalakrishnan Srinivasan; Priyadarshini Panda; Kaushik Roy 001 (ACM J. Emerg. Technol. Comput. Syst., 2018)

Neural Networks at the Edge. - Deboleena Roy; Gopalakrishnan Srinivasan; Priyadarshini Panda; Richard Tomsett; Nirmit Desai; Raghu K. Ganti; Kaushik Roy 001 (SMARTCOMP, 2019)

ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing. - Gopalakrishnan Srinivasan; Kaushik Roy 001 (CoRR, 2019)

Reinforcement Learning with Low-Complexity Liquid State Machines. - Wachirawit Ponghiran; Gopalakrishnan Srinivasan; Kaushik Roy 001 (CoRR, 2019)

Structured Learning for Action Recognition in Videos. - Yinghan Long; Gopalakrishnan Srinivasan; Priyadarshini Panda; Kaushik Roy 001 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2019)

Deep Spiking Convolutional Neural Network Trained With Unsupervised Spike-Timing-Dependent Plasticity. - Chankyu Lee; Gopalakrishnan Srinivasan; Priyadarshini Panda; Kaushik Roy 001 (IEEE Trans. Cogn. Dev. Syst., 2019)

Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays. - Amogh Agrawal; Akhilesh Jaiswal 001; Deboleena Roy; Bing Han 006; Gopalakrishnan Srinivasan; Aayush Ankit; Kaushik Roy 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network. - Bing Han 006; Gopalakrishnan Srinivasan; Kaushik Roy 001 (CVPR, 2020)

Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing. - Gopalakrishnan Srinivasan; Chankyu Lee; Abhronil Sengupta; Priyadarshini Panda; Syed Shakib Sarwar; Kaushik Roy 001 (ICASSP, 2020)

Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation. - Nitin Rathi; Gopalakrishnan Srinivasan; Priyadarshini Panda; Kaushik Roy 001 (ICLR, 2020)

Enabling Homeostasis using Temporal Decay Mechanisms in Spiking CNNs Trained with Unsupervised Spike Timing Dependent Plasticity. - Krishna Reddy Kesari; Priyadarshini Panda; Gopalakrishnan Srinivasan; Kaushik Roy 001 (IJCNN, 2020)

Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks. - Sourjya Roy; Priyadarshini Panda; Gopalakrishnan Srinivasan; Anand Raghunathan (IJCNN, 2020)

Explicitly Trained Spiking Sparsity in Spiking Neural Networks with Backpropagation. - Jason M. Allred; Steven J. Spencer; Gopalakrishnan Srinivasan; Kaushik Roy 001 (CoRR, 2020)

RMP-SNNs: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Networks. - Bing Han 006; Gopalakrishnan Srinivasan; Kaushik Roy 001 (CoRR, 2020)

sBSNN: Stochastic-Bits Enabled Binary Spiking Neural Network With On-Chip Learning for Energy Efficient Neuromorphic Computing at the Edge. - Minsuk Koo; Gopalakrishnan Srinivasan; Yong Shim; Kaushik Roy 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2020)

Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies. - Amogh Agrawal; Indranil Chakraborty; Deboleena Roy; Utkarsh Saxena; Saima Sharmin; Minsuk Koo; Yong Shim; Gopalakrishnan Srinivasan; Chamika M. Liyanagedera; Abhronil Sengupta; Kaushik Roy 001 (IEEE Trans. Very Large Scale Integr. Syst., 2020)

Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems. - Yinghan Long; Indranil Chakraborty; Gopalakrishnan Srinivasan; Kaushik Roy 001 (ICDCS, 2021)

QuAKE: Speeding up Model Inference Using Quick and Approximate Kernels for Exponential Non-Linearities. - Sai Kiran Narayanaswami; Gopalakrishnan Srinivasan; Balaraman Ravindran (CoRR, 2024)

PASCAL: Precise and Efficient ANN- SNN Conversion using Spike Accumulation and Adaptive Layerwise Activation. - Pranav Ramesh; Gopalakrishnan Srinivasan (CoRR, 2025)