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Optimizing the energy consumption of spiking neural networks for
  neuromorphic applications
v1v2 (latest)

Optimizing the energy consumption of spiking neural networks for neuromorphic applications

3 December 2019
M. Sorbaro
Li-Yu Daisy Liu
Massimo Bortone
Sadique Sheik
ArXiv (abs)PDFHTML

Papers citing "Optimizing the energy consumption of spiking neural networks for neuromorphic applications"

12 / 12 papers shown
Title
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning
Qi Xu
J. Zhu
D. Zhou
Hao Chen
Yang Liu
Jiangrong Shen
Qiang Zhang
106
0
0
12 May 2025
A Synthesis of Green Architectural Tactics for ML-Enabled Systems
A Synthesis of Green Architectural Tactics for ML-Enabled Systems
Heli Järvenpää
Patricia Lago
Justus Bogner
Grace A. Lewis
H. Muccini
Ipek Ozkaya
80
24
0
15 Dec 2023
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient
  Unsupervised Learning: Theory and Design Principles
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles
Biswadeep Chakraborty
Saibal Mukhopadhyay
85
10
0
22 Feb 2023
An Exact Mapping From ReLU Networks to Spiking Neural Networks
An Exact Mapping From ReLU Networks to Spiking Neural Networks
A. Stanojević
Stanislaw Wo'zniak
G. Bellec
G. Cherubini
A. Pantazi
W. Gerstner
92
24
0
23 Dec 2022
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep
  Neural Networks
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks
Alessio Colucci
A. Steininger
Mohamed Bennai
73
12
0
31 Jul 2022
Optimizing the Consumption of Spiking Neural Networks with Activity
  Regularization
Optimizing the Consumption of Spiking Neural Networks with Activity Regularization
Simon Narduzzi
Siavash Bigdeli
Shih-Chii Liu
L. A. Dunbar
71
9
0
04 Apr 2022
WaveSense: Efficient Temporal Convolutions with Spiking Neural Networks
  for Keyword Spotting
WaveSense: Efficient Temporal Convolutions with Spiking Neural Networks for Keyword Spotting
Philipp Weidel
Sadique Sheik
42
15
0
02 Nov 2021
Adversarial Attacks on Spiking Convolutional Neural Networks for
  Event-based Vision
Adversarial Attacks on Spiking Convolutional Neural Networks for Event-based Vision
Julian Buchel
Gregor Lenz
Yalun Hu
Sadique Sheik
M. Sorbaro
AAML
81
15
0
06 Oct 2021
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided
  Compression
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression
Souvik Kundu
Gourav Datta
Massoud Pedram
Peter A. Beerel
64
14
0
16 Jul 2021
Q-SpiNN: A Framework for Quantizing Spiking Neural Networks
Q-SpiNN: A Framework for Quantizing Spiking Neural Networks
Rachmad Vidya Wicaksana Putra
Mohamed Bennai
MQ
81
47
0
05 Jul 2021
Energy-efficient Knowledge Distillation for Spiking Neural Networks
Dongjin Lee
Seongsik Park
Jongwan Kim
Wuhyeong Doh
Sungroh Yoon
52
12
0
14 Jun 2021
Training Deep Spiking Neural Networks
Training Deep Spiking Neural Networks
Eimantas Ledinauskas
J. Ruseckas
Alfonsas Jursenas
Giedrius Burachas
98
55
0
08 Jun 2020
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