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Wachirawit Ponghiran
Wachirawit Ponghiran
School of Electrical and Computer Engineering, Purdue University
Zweryfikowany adres z purdue.edu
Tytuł
Cytowane przez
Cytowane przez
Rok
A comprehensive analysis on adversarial robustness of spiking neural networks
S Sharmin, P Panda, SS Sarwar, C Lee, W Ponghiran, K Roy
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
662019
Spiking neural networks with improved inherent recurrence dynamics for sequential learning
W Ponghiran, K Roy
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 8001-8008, 2022
402022
Reinforcement learning with low-complexity liquid state machines
W Ponghiran, G Srinivasan, K Roy
Frontiers in Neuroscience 13, 465263, 2019
172019
Hybrid analog-spiking long short-term memory for energy efficient computing on edge devices
W Ponghiran, K Roy
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 581-586, 2021
92021
Cut mask optimization for multi-patterning directed self-assembly lithography
W Ponghiran, S Shim, Y Shin
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017
42017
Unlocking the Potential of Spiking Neural Networks: Understanding the What, Why, and Where
B Wickramasinghe, SS Chowdhury, AK Kosta, W Ponghiran, K Roy
IEEE Transactions on Cognitive and Developmental Systems, 2023
32023
Event-based temporally dense optical flow estimation with sequential neural networks
W Ponghiran, CM Liyanagedera, K Roy
arXiv preprint arXiv:2210.01244, 2022
32022
Event-based Temporally Dense Optical Flow Estimation with Sequential Learning
W Ponghiran, CM Liyanagedera, K Roy
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
12023
FEDORA: Flying Event Dataset fOr Reactive behAvior
A Joshi, A Kosta, W Ponghiran, M Nagaraj, K Roy
arXiv preprint arXiv:2305.14392, 2023
2023
Low-Power Real-Time Sequential Processing with Spiking Neural Networks
CM Liyanagedera, M Nagaraj, W Ponghiran, K Roy
2023 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2023
2023
Fast and Energy-Efficient Computing with Spiking Neural Networks
W Ponghiran
Purdue University Graduate School, 2023
2023
Clock tree optimization through selective airgap insertion
D Hyun, W Ponghiran, Y Shin
2017 18th International Symposium on Quality Electronic Design (ISQED), 203-208, 2017
2017
Cut redistribution for MP-DSAL with consideration of GP density
W Ponghiran
한국과학기술원, 2017
2017
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