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Energy-Efficient High-Accuracy Spiking Neural Network Inference Using
  Time-Domain Neurons

Energy-Efficient High-Accuracy Spiking Neural Network Inference Using Time-Domain Neurons

4 February 2022
Joonghyun Song
Jiwon Shin
Hanseok Kim
Woo-Seok Choi
ArXivPDFHTML

Papers citing "Energy-Efficient High-Accuracy Spiking Neural Network Inference Using Time-Domain Neurons"

3 / 3 papers shown
Title
Lightweight LIF-only SNN accelerator using differential time encoding
Lightweight LIF-only SNN accelerator using differential time encoding
Daniel Windhager
Lothar Ratschbacher
Bernhard A. Moser
Michael Lunglmayr
19
0
0
16 May 2025
Towards Chip-in-the-loop Spiking Neural Network Training via
  Metropolis-Hastings Sampling
Towards Chip-in-the-loop Spiking Neural Network Training via Metropolis-Hastings Sampling
Ali Safa
Vikrant Jaltare
Samira Sebt
Kameron Gano
Johannes Leugering
Georges G. E. Gielen
Gert Cauwenberghs
26
0
0
09 Feb 2024
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhehuai Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,750
0
26 Sep 2016
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