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1912.01268
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Optimizing the energy consumption of spiking neural networks for neuromorphic applications
3 December 2019
M. Sorbaro
Li-Yu Daisy Liu
Massimo Bortone
Sadique Sheik
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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
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
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
Biswadeep Chakraborty
Saibal Mukhopadhyay
85
10
0
22 Feb 2023
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
Alessio Colucci
A. Steininger
Mohamed Bennai
73
12
0
31 Jul 2022
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
Philipp Weidel
Sadique Sheik
42
15
0
02 Nov 2021
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
Souvik Kundu
Gourav Datta
Massoud Pedram
Peter A. Beerel
64
14
0
16 Jul 2021
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
Eimantas Ledinauskas
J. Ruseckas
Alfonsas Jursenas
Giedrius Burachas
98
55
0
08 Jun 2020
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