Articles with public access mandates - Ruokai YinLearn more
Available somewhere: 9
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, 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 …, 2022
Mandates: US National Science Foundation, US Department of Defense
uGEMM: Unary Computing Architecture for GEMM Applications
D Wu, J Li, R Yin, H Hsiao, Y Kim, J San Miguel
International Symposium on Computer Architecture (ISCA) 2020, 377-390, 2020
Mandates: US National Science Foundation
MINT: Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks
R Yin, Y Li, A Moitra, P Panda
Asia and South Pacific Design Automation Conference (ASP-DAC) 2024, 830-835, 2024
Mandates: US National Science Foundation, US Department of Energy, US Department of …
Efficient Human Activity Recognition with Spatio-temporal Spiking Neural Networks
Y Li, R Yin, Y Kim, P Panda
Frontiers in Neuroscience 17, 1233037, 2023
Mandates: US National Science Foundation, US Department of Energy, US Department of …
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks
Y Kim, Y Li, A Moitra, R Yin, P Panda
Frontiers in Neuroscience 17, 1230002, 2023
Mandates: US National Science Foundation, US Department of Energy, US Department of …
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training
D Lee, R Yin, Y Kim, A Moitra, Y Li, P Panda
Design, Automation and Test in Europe Conference (DATE) 2024, 2024
Mandates: US National Science Foundation, US Department of Energy, US Department of …
Rethinking Skip Connections in Spiking Neural Networks with Time-To-First-Spike Coding
Y Kim, A Kahana, R Yin, Y Li, P Stinis, GE Karniadakis, P Panda
Frontiers in Neuroscience 18, 1346805, 2024
Mandates: US National Science Foundation, US Department of Energy, US Department of …
Hardware Accelerators for Spiking Neural Networks for Energy-Efficient Edge Computing
A Moitra, R Yin, P Panda
Great Lakes Symposium on VLSI (GLSVSI) 2023, 137-138, 2023
Mandates: US National Science Foundation, US Department of Energy, US Department of …
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