| Rate coding or direct coding: Which one is better for accurate, robust, and energy-efficient spiking neural networks? Y Kim, H Park, A Moitra, A Bhattacharjee, Y Venkatesha, P Panda ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 48 | 2022 |
| Sata: Sparsity-aware training accelerator for spiking neural networks R Yin, A Moitra, A Bhattacharjee, Y Kim, P Panda IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022 | 30 | 2022 |
| Activation density based mixed-precision quantization for energy efficient neural networks K Vasquez, Y Venkatesha, A Bhattacharjee, A Moitra, P Panda 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2021 | 16 | 2021 |
| Examining the robustness of spiking neural networks on non-ideal memristive crossbars A Bhattacharjee, Y Kim, A Moitra, P Panda Proceedings of the ACM/IEEE International Symposium on Low Power Electronics …, 2022 | 15 | 2022 |
| Spikesim: An end-to-end compute-in-memory hardware evaluation tool for benchmarking spiking neural networks A Moitra, A Bhattacharjee, R Kuang, G Krishnan, Y Cao, P Panda IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023 | 14 | 2023 |
| Noise sensitivity-based energy efficient and robust adversary detection in neural networks R Sterneck, A Moitra, P Panda IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 10 | 2021 |
| Efficiency-driven hardware optimization for adversarially robust neural networks A Bhattacharjee*, A Moitra*, P Panda 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 884-889, 2021 | 9 | 2021 |
| Input-aware dynamic timestep spiking neural networks for efficient in-memory computing Y Li, A Moitra, T Geller, P Panda 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 8 | 2023 |
| Mint: Multiplier-less integer quantization for spiking neural networks R Yin, Y Li, A Moitra, P Panda arXiv preprint arXiv:2305.09850, 2023 | 8 | 2023 |
| Workload-balanced pruning for sparse spiking neural networks R Yin, Y Kim, Y Li, A Moitra, N Satpute, A Hambitzer, P Panda arXiv preprint arXiv:2302.06746, 2023 | 8 | 2023 |
| Detectx—adversarial input detection using current signatures in memristive xbar arrays A Moitra, P Panda IEEE Transactions on Circuits and Systems I: Regular Papers 68 (11), 4482-4494, 2021 | 6 | 2021 |
| Regulation of the hypothalamic GnRH–GnIH system by putrescine in adult female rats and GT1‐7 neuronal cell line JRD Fernandes, A Moitra, K Tsutsui, A Banerjee Journal of Experimental Zoology Part A: Ecological and Integrative …, 2020 | 6 | 2020 |
| Efficient architecture for implementation of Hermite interpolation on FPGA GC George, A Moitra, S Caculo, AA Prince 2018 conference on Design and Architectures for Signal and Image Processing …, 2018 | 5 | 2018 |
| Sharing leaky-integrate-and-fire neurons for memory-efficient spiking neural networks Y Kim, Y Li, A Moitra, R Yin, P Panda Frontiers in Neuroscience 17, 1230002, 2023 | 4 | 2023 |
| MIME: adapting a single neural network for multi-task inference with memory-efficient dynamic pruning A Bhattacharjee, Y Venkatesha, A Moitra, P Panda Proceedings of the 59th ACM/IEEE Design Automation Conference, 499-504, 2022 | 4 | 2022 |
| A novel and efficient hardware accelerator architecture for signal normalization GC George, A Moitra, S Caculo, AA Prince, JJU Buch, SK Pathak Circuits, Systems, and Signal Processing 39 (5), 2425-2441, 2020 | 4 | 2020 |
| Examining the role and limits of batchnorm optimization to mitigate diverse hardware-noise in in-memory computing A Bhattacharjee, A Moitra, Y Kim, Y Venkatesha, P Panda Proceedings of the Great Lakes Symposium on VLSI 2023, 619-624, 2023 | 2 | 2023 |
| XPert: Peripheral Circuit & Neural Architecture Co-search for Area and Energy-efficient Xbar-based Computing A Moitra, A Bhattacharjee, Y Kim, P Panda Accepted to DAC 2023 (arXiv preprint arXiv:2303.17646), 2023 | 2 | 2023 |
| Exposing the robustness and vulnerability of hybrid 8T-6T SRAM memory architectures to adversarial attacks in deep neural networks A Moitra, P Panda arXiv preprint arXiv:2011.13392, 2020 | 2 | 2020 |
| TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training D Lee, R Yin, Y Kim, A Moitra, Y Li, P Panda arXiv preprint arXiv:2401.08001, 2024 | 1 | 2024 |
Priyadarshini (Priya) PandaAssistant Professor, Electrical Engineering, Yale UniversityVerified email at yale.edu
