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1 Ergebnisse
1
TT-SNN: Tensor Train Decomposition for Efficient Spiking Ne..:
, In:
2024 Design, Automation & Test in Europe Conference & Exhibition (DATE)
,
Lee, Donghyun
;
Yin, Ruokai
;
Kim, Youngeun
... - p. 1-6 , 2024
Link:
https://doi.org/10.23919/DATE58400.2024.10546679
RT T1 <cTitle>2024 Design, Automation & Test in Europe Conference & Exhibition (DATE)</cTitle>: T1 <Title>TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10546679&Exemplar=1&LAN=DE A1 Lee, Donghyun A1 Yin, Ruokai A1 Kim, Youngeun A1 Moitra, Abhishek A1 Li, Yuhang A1 Panda, Priyadarshini YR 2024 SN 1558-1101 K1 Training K1 Tensors K1 Neuromorphics K1 Pipelines K1 Neural networks K1 Memory management K1 Parallel processing K1 Neuromorphic computing K1 Spiking neural network K1 Tensor train decomposition SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.23919/DATE58400.2024.10546679 DO https://doi.org/10.23919/DATE58400.2024.10546679 SF ELIB - SuUB Bremen
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