Priyadarshini (Priya) Panda
Yale University
H-index: 36
North America-United States
Top articles of Priyadarshini (Priya) Panda
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training | arXiv preprint arXiv:2401.08001 | Donghyun Lee Ruokai Yin Youngeun Kim Abhishek Moitra Yuhang Li | 2024/1/15 |
One-stage Prompt-based Continual Learning | arXiv preprint arXiv:2402.16189 | Youngeun Kim Yuhang Li Priyadarshini Panda | 2024/2/25 |
RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems | IEEE Transactions on Emerging Topics in Computational Intelligence | Abhishek Moitra Abhiroop Bhattacharjee Youngeun Kim Priyadarshini Panda | 2024/2/16 |
Rethinking skip connections in Spiking Neural Networks with Time-To-First-Spike coding | Frontiers in Neuroscience | Youngeun Kim Adar Kahana Ruokai Yin Yuhang Li Panos Stinis | 2024/2/14 |
Are SNNs Truly Energy-efficient?—A Hardware Perspective | Abhiroop Bhattacharjee Ruokai Yin Abhishek Moitra Priyadarshini Panda | 2024/4/14 | |
SEENN: Towards Temporal Spiking Early Exit Neural Networks | Advances in Neural Information Processing Systems | Yuhang Li Tamar Geller Youngeun Kim Priyadarshini Panda | 2024/2/13 |
PIVOT-Input-aware Path Selection for Energy-efficient ViT Inference | arXiv preprint arXiv:2404.15185 | Abhishek Moitra Abhiroop Bhattacharjee Priyadarshini Panda | 2024/4/10 |
ClipFormer: Key-Value Clipping of Transformers on Memristive Crossbars for Write Noise Mitigation | arXiv preprint arXiv:2402.02586 | Abhiroop Bhattacharjee Abhishek Moitra Priyadarshini Panda | 2024/2/4 |
A collective AI via lifelong learning and sharing at the edge | Nature Machine Intelligence | Andrea Soltoggio Eseoghene Ben-Iwhiwhu Vladimir Braverman Eric Eaton Benjamin Epstein | 2024/3 |
Workload-balanced pruning for sparse spiking neural networks | arXiv preprint arXiv:2302.06746 | Ruokai Yin Youngeun Kim Yuhang Li Abhishek Moitra Nitin Satpute | 2023/2/13 |
Mint: Multiplier-less integer quantization for spiking neural networks | arXiv preprint arXiv:2305.09850 | Ruokai Yin Yuhang Li Abhishek Moitra Priyadarshini Panda | 2023/5/16 |
Hardware Accelerators for Spiking Neural Networks for Energy-Efficient Edge Computing | Abhishek Moitra Ruokai Yin Priyadarshini Panda | 2023/6/5 | |
Robustness for Embedded Machine Learning Using In-Memory Computing | Priyadarshini Panda Abhiroop Bhattacharjee Abhishek Moitra | 2023/10/7 | |
DeepCAM: A Fully CAM-based Inference Accelerator with Variable Hash Lengths for Energy-efficient Deep Neural Networks | Duy-Thanh Nguyen Abhiroop Bhattacharjee Abhishek Moitra Priyadarshini Panda | 2023/4/17 | |
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient | arXiv preprint arXiv:2304.13098 (Accepted to TMLR 2023) | Yuhang Li Youngeun Kim Hyoungseob Park Priyadarshini Panda | 2023/4/25 |
Examining the role and limits of batchnorm optimization to mitigate diverse hardware-noise in in-memory computing | Abhiroop Bhattacharjee Abhishek Moitra Youngeun Kim Yeshwanth Venkatesha Priyadarshini Panda | 2023/6/5 | |
Overview of Recent Advancements in Deep Learning and Artificial Intelligence | Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning | Vijaykrishnan Narayanan Yu Cao Priyadarshini Panda Nagadastagiri Reddy Challapalle Xiaocong Du | 2023/9/26 |
MCAIMem: a Mixed SRAM and eDRAM Cell for Area and Energy-efficient on-chip AI Memory | arXiv preprint arXiv:2312.03559 | Duy-Thanh Nguyen Abhiroop Bhattacharjee Abhishek Moitra Priyadarshini Panda | 2023/12/6 |
Efficient Human Activity Recognition with Spatio-Temporal Spiking Neural Networks | Frontiers in Neuroscience | Yuhang Li Ruokai Yin Youngeun Kim Priyadarshini Panda | 2023 |
Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking | arXiv preprint arXiv:2304.04640 | Jason Yik Soikat Hasan Ahmed Zergham Ahmed Brian Anderson Andreas G Andreou | 2023/4/10 |
Co-Authors
