| Neural architecture search for spiking neural networks Y Kim, Y Li, H Park, Y Venkatesha, P Panda European conference on computer vision, 36-56, 2022 | 92 | 2022 |
| 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 | 52 | 2022 |
| Federated learning with spiking neural networks Y Venkatesha, Y Kim, L Tassiulas, P Panda IEEE Transactions on Signal Processing 69, 6183-6194, 2021 | 47 | 2021 |
| Exploring lottery ticket hypothesis in spiking neural networks Y Kim, Y Li, H Park, Y Venkatesha, R Yin, P Panda European Conference on Computer Vision, 102-120, 2022 | 42 | 2022 |
| Privatesnn: privacy-preserving spiking neural networks Y Kim, Y Venkatesha, P Panda Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 1192-1200, 2022 | 20 | 2022 |
| Exploring temporal information dynamics in spiking neural networks Y Kim, Y Li, H Park, Y Venkatesha, A Hambitzer, P Panda Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8308-8316, 2023 | 17 | 2023 |
| 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 |
| Privatesnn: Fully privacypreserving spiking neural networks Y Kim, Y Venkatesha, P Panda arXiv preprint arXiv:2104.03414, 2021 | 11 | 2021 |
| Activation density driven efficient pruning in training T Foldy-Porto, Y Venkatesha, P Panda 2020 25th International Conference on Pattern Recognition (ICPR), 8929-8936, 2021 | 8* | 2021 |
| 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 | 5 | 2022 |
| Addressing client drift in federated continual learning with adaptive optimization Y Venkatesha, Y Kim, H Park, Y Li, P Panda Available at SSRN 4188586, 2022 | 4 | 2022 |
| Divide-and-conquer the NAS puzzle in resource-constrained federated learning systems Y Venkatesha, Y Kim, H Park, P Panda Neural Networks 168, 569-579, 2023 | 2 | 2023 |
| 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 |
| Overview of Recent Advancements in Deep Learning and Artificial Intelligence V Narayanan, Y Cao, P Panda, N Reddy Challapalle, X Du, Y Kim, ... Advances in Electromagnetics Empowered by Artificial Intelligence and Deep …, 2023 | 1 | 2023 |
| Method and system with deep learning model generation Y Venkatesha, S Krishnadasan, A Deshwal US Patent App. 16/549,299, 2020 | 1 | 2020 |
| Multi-objective Based Road-Link Grading for Health-Care Access During Flood Hazard Management O Chakraborty, V Yeshwanth, P Mitra, SK Ghosh Computational Science and Its Applications–ICCSA 2018: 18th International …, 2018 | 1 | 2018 |
| HaLo-FL: Hardware-Aware Low-Precision Federated Learning Y Venkatesha, A Bhattacharjee, A Moitra, P Panda 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2024 | | 2024 |
| Sparse CNN Architecture Search (Scas) V Yeshwanth, A Deshwal, S Krishnadasan, S Lee, J Song 2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020 | | 2020 |
| Assortment of Attention Heads: Accelerating Federated Peft with Head Pruning and Strategic Client Selection Y Venkatesha, S Kundu, P Panda Available at SSRN 4790569, 0 | | |
| A. Code Implementation Y Kim, Y Li, H Park, Y Venkatesha, P Panda | | |
Priyadarshini (Priya) PandaAssistant Professor, Electrical Engineering, Yale University在 yale.edu 的电子邮件经过验证
