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FSpiNN: An Optimization Framework for Memory- and Energy-Efficient
  Spiking Neural Networks

FSpiNN: An Optimization Framework for Memory- and Energy-Efficient Spiking Neural Networks

17 July 2020
Rachmad Vidya Wicaksana Putra
Mohamed Bennai
ArXivPDFHTML

Papers citing "FSpiNN: An Optimization Framework for Memory- and Energy-Efficient Spiking Neural Networks"

17 / 17 papers shown
Title
Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems
Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems
Rachmad Vidya Wicaksana Putra
Pasindu Wickramasinghe
Mohamed Bennai
79
0
0
01 Apr 2025
Robust Machine Learning Systems: Challenges, Current Trends,
  Perspectives, and the Road Ahead
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead
Mohamed Bennai
Mahum Naseer
T. Theocharides
C. Kyrkou
O. Mutlu
Lois Orosa
Jungwook Choi
OOD
98
100
0
04 Jan 2021
An Efficient Spiking Neural Network for Recognizing Gestures with a DVS
  Camera on the Loihi Neuromorphic Processor
An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic Processor
Riccardo Massa
Alberto Marchisio
Maurizio Martina
Mohamed Bennai
31
93
0
16 May 2020
NeuroAttack: Undermining Spiking Neural Networks Security through
  Externally Triggered Bit-Flips
NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips
Valerio Venceslai
Alberto Marchisio
Ihsen Alouani
Maurizio Martina
Mohamed Bennai
AAML
43
34
0
16 May 2020
DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient
  Processing of Convolutional Neural Networks
DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks
Rachmad Vidya Wicaksana Putra
Muhammad Abdullah Hanif
Mohamed Bennai
34
22
0
21 Apr 2020
Lattice Map Spiking Neural Networks (LM-SNNs) for Clustering and
  Classifying Image Data
Lattice Map Spiking Neural Networks (LM-SNNs) for Clustering and Classifying Image Data
Hananel Hazan
D. J. Saunders
Darpan T. Sanghavi
H. Siegelmann
R. Kozma
46
17
0
04 Jun 2019
Locally Connected Spiking Neural Networks for Unsupervised Feature
  Learning
Locally Connected Spiking Neural Networks for Unsupervised Feature Learning
D. J. Saunders
Devdhar Patel
Hananel Hazan
H. Siegelmann
R. Kozma
40
53
0
12 Apr 2019
SpykeTorch: Efficient Simulation of Convolutional Spiking Neural
  Networks with at most one Spike per Neuron
SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks with at most one Spike per Neuron
Milad Mozafari
M. Ganjtabesh
A. Nowzari-Dalini
T. Masquelier
58
99
0
06 Mar 2019
Fast and Efficient Information Transmission with Burst Spikes in Deep
  Spiking Neural Networks
Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks
Seongsik Park
Seijoon Kim
Hyeokjun Choe
Sungroh Yoon
51
94
0
10 Sep 2018
STDP Learning of Image Patches with Convolutional Spiking Neural
  Networks
STDP Learning of Image Patches with Convolutional Spiking Neural Networks
D. J. Saunders
H. Siegelmann
R. Kozma
M. Ruszinkó
20
34
0
24 Aug 2018
Unsupervised Learning with Self-Organizing Spiking Neural Networks
Unsupervised Learning with Self-Organizing Spiking Neural Networks
Hananel Hazan
D. J. Saunders
Darpan T. Sanghavi
H. Siegelmann
R. Kozma
SSL
28
65
0
24 Jul 2018
BindsNET: A machine learning-oriented spiking neural networks library in
  Python
BindsNET: A machine learning-oriented spiking neural networks library in Python
Hananel Hazan
D. J. Saunders
Hassaan Khan
Darpan T. Sanghavi
H. Siegelmann
R. Kozma
AI4CE
60
231
0
04 Jun 2018
Deep Learning in Spiking Neural Networks
Deep Learning in Spiking Neural Networks
A. Tavanaei
M. Ghodrati
Saeed Reza Kheradpisheh
T. Masquelier
Anthony Maida
55
1,071
0
22 Apr 2018
STDP Based Pruning of Connections and Weight Quantization in Spiking
  Neural Networks for Energy Efficient Recognition
STDP Based Pruning of Connections and Weight Quantization in Spiking Neural Networks for Energy Efficient Recognition
Nitin Rathi
Priyadarshini Panda
Kaushik Roy
47
113
0
12 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
252
8,856
0
25 Aug 2017
ASP: Learning to Forget with Adaptive Synaptic Plasticity in Spiking
  Neural Networks
ASP: Learning to Forget with Adaptive Synaptic Plasticity in Spiking Neural Networks
Priyadarshini Panda
Jason M. Allred
S. Ramanathan
Kaushik Roy
46
49
0
22 Mar 2017
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
239
8,821
0
01 Oct 2015
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