Articles with public access mandates - Youngeun KimLearn more
Available somewhere: 26
2022 roadmap on neuromorphic computing and engineering
DV Christensen, R Dittmann, B Linares-Barranco, A Sebastian, ...
Neuromorphic Computing and Engineering 2 (2), 022501, 2022
Mandates: US National Science Foundation, Swiss National Science Foundation, US …
Revisiting batch normalization for training low-latency deep spiking neural networks from scratch
Y Kim, P Panda
Frontiers in neuroscience, 1638, 2021
Mandates: US National Science Foundation, US Department of Defense
Neuromorphic Data Augmentation for Training Spiking Neural Networks
Y Li, Y Kim, H Park, T Geller, P Panda
European Conference on Computer Vision (ECCV) 2022, 2022
Mandates: US National Science Foundation, US Department of Defense
Neural architecture search for spiking neural networks
Y Kim, Y Li, H Park, Y Venkatesha, P Panda
European Conference on Computer Vision (ECCV) 2022, 2022
Mandates: US National Science Foundation, US Department of Defense
Optimizing Deeper Spiking Neural Networks for Dynamic Vision Sensing
Y Kim, P Panda
Neural Networks, 2021
Mandates: US National Science Foundation, US Department of Defense
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
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2022
Mandates: US National Science Foundation, US Department of Defense
Beyond classification: directly training spiking neural networks for semantic segmentation
Y Kim, J Chough, P Panda
Neuromorphic Computing and Engineering (arXiv preprint arXiv:2110.07742), 2021
Mandates: US National Science Foundation, US Department of Defense
Federated Learning with Spiking Neural Networks
Y Venkatesha, Y Kim, L Tassiulas, P Panda
IEEE Transactions on Signal Processing, 2021
Mandates: US National Science Foundation, US Department of Defense
Visual explanations from spiking neural networks using inter-spike intervals
Y Kim, P Panda
Scientific reports 11 (1), 19037, 2021
Mandates: US National Science Foundation, US Department of Defense
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 (ECCV) 2022 (Oral Presentation), 102-120, 2022
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: US National Science Foundation, US Department of Defense
SEENN: Towards Temporal Spiking Early-Exit Neural Networks
Y Li, T Geller, Y Kim, P Panda
NeurIPS 2023 (arXiv preprint arXiv:2304.01230), 2023
Mandates: US National Science Foundation, US Department of Energy, US Department of …
Exploring Temporal Information Dynamics in Spiking Neural Networks
Y Kim, Y Li, H Park, Y Venkatesha, A Hambitzer, P Panda
AAAI2023 (arXiv preprint arXiv:2211.14406), 2023
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: US National Science Foundation, US Department of Defense
NEAT: Nonlinearity aware training for accurate, energy-efficient, and robust implementation of neural networks on 1T-1R crossbars
A Bhattacharjee, L Bhatnagar, Y Kim, P Panda
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021
Mandates: US National Science Foundation, US Department of Defense
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars
A Bhattacharjee, Y Kim, A Moitra, P Panda
ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED …, 2022
Mandates: US National Science Foundation, US Department of Defense
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks
Y Kim, Y Li, A Moitra, R Yin, P Panda
Frontier in Neuroscience (arXiv preprint arXiv:2305.18360), 2023
Mandates: US National Science Foundation, US Department of Energy, US Department of …
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
GLSVLSI 2023 (arXiv preprint arXiv:2305.18416), 2023
Mandates: US National Science Foundation, US Department of Energy, US Department of …
XPert: Peripheral Circuit & Neural Architecture Co-search for Area and Energy-efficient Xbar-based Computing
A Moitra, A Bhattacharjee, Y Kim, P Panda
DAC 2023 (arXiv preprint arXiv:2303.17646), 2023
Mandates: US National Science Foundation, US Department of Energy, US Department of …
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
Mandates: US National Science Foundation, US Department of Defense
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