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Yeshwanth Venkatesha
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인용
연도
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
1142022
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
892022
Federated learning with spiking neural networks
Y Venkatesha, Y Kim, L Tassiulas, P Panda
IEEE Transactions on Signal Processing 69, 6183-6194, 2021
652021
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
592022
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
352023
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
272022
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
212021
Privatesnn: Fully privacypreserving spiking neural networks
Y Kim, Y Venkatesha, P Panda
arXiv preprint arXiv:2104.03414, 2021
112021
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
10*2021
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
82023
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
72022
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
62022
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
42023
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
22024
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
22023
Method and system with deep learning model generation
Y Venkatesha, S Krishnadasan, A Deshwal
US Patent App. 16/549,299, 2020
12020
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
12018
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges
AR Trivedi, S Tayebati, H Kumawat, N Darabi, D Kumar, AK Kosta, ...
arXiv preprint arXiv:2502.02692, 2025
2025
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges
A Ranjan Trivedi, S Tayebati, H Kumawat, N Darabi, D Kumar, AK Kosta, ...
arXiv e-prints, arXiv: 2502.02692, 2025
2025
METHOD AND SYSTEM WITH DEEP LEARNING MODEL GENERATION
Y Venkatesha, S Krishnadasan, A Deshwal
US Patent App. 18/816,769, 2024
2024
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