2 citations · 2 across the 3 of their papers we have counts for
4 papers
EXODUS: Stable and Efficient Training of Spiking Neural Networks
Felix Christian Bauer, Gregor Lenz, Saeid Haghighatshoar +1
Spiking Neural Networks (SNNs) are gaining significant traction in machine learning tasks where energy-efficiency is of utmost importance. Training such networks using the state-of…
WaveSense: Efficient Temporal Convolutions with Spiking Neural Networks for Keyword Spotting
Philipp Weidel, Sadique Sheik
Ultra-low power local signal processing is a crucial aspect for edge applications on always-on devices. Neuromorphic processors emulating spiking neural networks show great computa…
Optimizing the energy consumption of spiking neural networks for neuromorphic applications
Martino Sorbaro, Qian Liu, Massimo Bortone +1
In the last few years, spiking neural networks have been demonstrated to perform on par with regular convolutional neural networks. Several works have proposed methods to convert a…
Hardware-efficient on-line learning through pipelined truncated-error backpropagation in binary-state networks
Hesham Mostafa, Bruno Pedroni, Sadique Sheik +1
Artificial neural networks (ANNs) trained using backpropagation are powerful learning architectures that have achieved state-of-the-art performance in various benchmarks. Significa…