| 2026 | DATE | SPOILER-GUARD: Gating Latency Effects of Memory Accesses through Randomized Dependency Prediction. | Gayathri Subramanian, Girinath P, Nitya Ranganathan, Kamakoti Veezhinathan, Gopalakrishnan Srinivasan |
| 2025 | ISLPED | QuAKE: Speeding up Model Inference Using Quick and Approximate Kernels for Exponential Non-Linearities. | Sai Kiran Narayanaswami, Gopalakrishnan Srinivasan, Balaraman Ravindran |
| 2021 | ICDCS | Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems. | Yinghan Long, Indranil Chakraborty, Gopalakrishnan Srinivasan, Kaushik Roy |
| 2020 | CVPR | RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network. | Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy |
| 2020 | ICASSP | Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing. | Gopalakrishnan Srinivasan, Chankyu Lee, Abhronil Sengupta, Priyadarshini Panda, Syed Shakib Sarwar, Kaushik Roy |
| 2020 | ICLR | Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation. | Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy |
| 2020 | IJCNN | 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 |
| 2020 | IJCNN | Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks. | Sourjya Roy, Priyadarshini Panda, Gopalakrishnan Srinivasan, Anand Raghunathan |
| 2019 | SmartComp | Neural Networks at the Edge. | Deboleena Roy, Gopalakrishnan Srinivasan, Priyadarshini Panda, Richard Tomsett, Nirmit Desai, Raghu K. Ganti, Kaushik Roy |
| 2017 | DATE | Magnetic tunnel junction enabled all-spin stochastic spiking neural network. | Gopalakrishnan Srinivasan, Abhronil Sengupta, Kaushik Roy |
| 2017 | IJCNN | EnsembleSNN: Distributed assistive STDP learning for energy-efficient recognition in spiking neural networks. | Priyadarshini Panda, Gopalakrishnan Srinivasan, Kaushik Roy |
| 2017 | IJCNN | Spike timing dependent plasticity based enhanced self-learning for efficient pattern recognition in spiking neural networks. | Gopalakrishnan Srinivasan, Sourjya Roy, Vijay Raghunathan, Kaushik Roy |
| 2016 | DAC | 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 |
| 2016 | DATE | Significance driven hybrid 8T-6T SRAM for energy-efficient synaptic storage in artificial neural networks. | Gopalakrishnan Srinivasan, Parami Wijesinghe, Syed Shakib Sarwar, Akhilesh Jaiswal, Kaushik Roy |
| 2005 | ICCS | Multiscale Finite Element Modeling of the Coupled Nonlinear Dynamics of Magnetostrictive Composite Thin Film. | D. Roy Mahapatra, Debi Prasad Ghosh, Gopalakrishnan Srinivasan |