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  4. Cited By
Whetstone: A Method for Training Deep Artificial Neural Networks for
  Binary Communication

Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication

26 October 2018
William M. Severa
C. Vineyard
Ryan Dellana
Stephen J Verzi
J. Aimone
ArXiv (abs)PDFHTML

Papers citing "Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication"

31 / 31 papers shown
SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition
  with Jaccard Attentive Spiking Neural Network
SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural NetworkNeural Information Processing Systems (NeurIPS), 2024
Weiyu Guo
Ying Sun
Yijie Xu
Ziyue Qiao
Yongkui Yang
Hui Xiong
398
9
0
23 May 2024
Speed-based Filtration and DBSCAN of Event-based Camera Data with
  Neuromorphic Computing
Speed-based Filtration and DBSCAN of Event-based Camera Data with Neuromorphic Computing
Charles P. Rizzo
Catherine D. Schuman
J. Plank
147
1
0
26 Jan 2024
Applications of Spiking Neural Networks in Visual Place Recognition
Applications of Spiking Neural Networks in Visual Place RecognitionIEEE Transactions on robotics (TRO), 2023
S. Hussaini
Michael Milford
Tobias Fischer
663
15
0
22 Nov 2023
Synaptic Sampling of Neural Networks
Synaptic Sampling of Neural NetworksInternational Conference on Rebooting Computing (ICRC), 2023
J. Aimone
William M. Severa
J. D. Smith
BDL
166
2
0
21 Nov 2023
Spike-based Neuromorphic Computing for Next-Generation Computer Vision
Spike-based Neuromorphic Computing for Next-Generation Computer Vision
Md. Sakib Hasan
Catherine D. Schuman
Zhongyang Zhang
Tauhidur Rahman
Garrett S. Rose
423
3
0
15 Oct 2023
Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free
  Inference
Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free InferenceIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Boyan Li
Luziwei Leng
Shuaijie Shen
Kaixuan Zhang
Jianguo Zhang
Jianxing Liao
Ran Cheng
527
16
0
21 Jun 2023
AutoML for neuromorphic computing and application-driven co-design:
  asynchronous, massively parallel optimization of spiking architectures
AutoML for neuromorphic computing and application-driven co-design: asynchronous, massively parallel optimization of spiking architecturesInternational Conference on Rebooting Computing (ICRC), 2022
A. Yanguas-Gil
Sandeep Madireddy
165
4
0
26 Feb 2023
KLIF: An optimized spiking neuron unit for tuning surrogate gradient
  slope and membrane potential
KLIF: An optimized spiking neuron unit for tuning surrogate gradient slope and membrane potential
Chunming Jiang
Yilei Zhang
168
19
0
18 Feb 2023
A noise based novel strategy for faster SNN training
A noise based novel strategy for faster SNN trainingNeural Computation (Neural Comput.), 2022
Chunming Jiang
Yilei Zhang
175
5
0
10 Nov 2022
Disclosure of a Neuromorphic Starter Kit
Disclosure of a Neuromorphic Starter Kit
J. Plank
Bryson Gullett
Adam Z. Foshie
Garrett S. Rose
Catherine D. Schuman
170
6
0
08 Nov 2022
Integration of Neuromorphic AI in Event-Driven Distributed Digitized
  Systems: Concepts and Research Directions
Integration of Neuromorphic AI in Event-Driven Distributed Digitized Systems: Concepts and Research DirectionsFrontiers in Neuroscience (Front. Neurosci.), 2022
Mattias Nilsson
Olov Schelén
Anders Lindgren
Ulf Bodin
Cristina Paniagua
J. Delsing
Fredrik Sandin
305
17
0
20 Oct 2022
The Case for RISP: A Reduced Instruction Spiking Processor
The Case for RISP: A Reduced Instruction Spiking Processor
J. Plank
Chaohui Zheng
Bryson Gullett
Nicholas D. Skuda
Charles P. Rizzo
Catherine D. Schuman
Garrett S. Rose
180
15
0
28 Jun 2022
Brain-inspired Multilayer Perceptron with Spiking Neurons
Brain-inspired Multilayer Perceptron with Spiking NeuronsComputer Vision and Pattern Recognition (CVPR), 2022
Wenshuo Li
Hanting Chen
Jianyuan Guo
Ziyang Zhang
Yunhe Wang
213
41
0
28 Mar 2022
Training Quantised Neural Networks with STE Variants: the Additive Noise
  Annealing Algorithm
Training Quantised Neural Networks with STE Variants: the Additive Noise Annealing AlgorithmComputer Vision and Pattern Recognition (CVPR), 2022
Matteo Spallanzani
G. P. Leonardi
Luca Benini
186
4
0
21 Mar 2022
Rethinking Pretraining as a Bridge from ANNs to SNNs
Rethinking Pretraining as a Bridge from ANNs to SNNsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Yihan Lin
Yifan Hu
Shiji Ma
Guo-Qi Li
Dongjie Yu
337
19
0
02 Mar 2022
S$^3$NN: Time Step Reduction of Spiking Surrogate Gradients for Training
  Energy Efficient Single-Step Spiking Neural Networks
S3^33NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Spiking Neural NetworksNeural Networks (NN), 2022
Kazuma Suetake
Shin-ichi Ikegawa
Ryuji Saiin
Yoshihide Sawada
293
4
0
26 Jan 2022
Keys to Accurate Feature Extraction Using Residual Spiking Neural
  Networks
Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks
Alex Vicente-Sola
D. L. Manna
Paul Kirkland
G. D. Caterina
Trevor Bihl University of Strathclyde
302
25
0
10 Nov 2021
Neuromorphic scaling advantages for energy-efficient random walk
  computation
Neuromorphic scaling advantages for energy-efficient random walk computationNature Electronics (Nat. Electron.), 2020
J. Smith
A. Hill
Leah Reeder
B. Franke
R. Lehoucq
Ojas D. Parekh
William M. Severa
J. Aimone
205
43
0
27 Jul 2021
The Backpropagation Algorithm Implemented on Spiking Neuromorphic
  Hardware
The Backpropagation Algorithm Implemented on Spiking Neuromorphic HardwareNature Communications (Nat Commun), 2021
Alpha Renner
F. Sheldon
Anatoly Zlotnik
L. Tao
A. Sornborger
290
57
0
13 Jun 2021
Analytical aspects of non-differentiable neural networks
Analytical aspects of non-differentiable neural networks
G. P. Leonardi
Matteo Spallanzani
159
1
0
03 Nov 2020
Progressive Tandem Learning for Pattern Recognition with Deep Spiking
  Neural Networks
Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks
Jibin Wu
Chenglin Xu
Daquan Zhou
Haizhou Li
Kay Chen Tan
264
140
0
02 Jul 2020
Synaptic Learning with Augmented Spikes
Synaptic Learning with Augmented Spikes
Qiang Yu
Shiming Song
Chenxiang Ma
Linqiang Pan
Kay Chen Tan
111
13
0
11 May 2020
Constructing Accurate and Efficient Deep Spiking Neural Networks with
  Double-threshold and Augmented Schemes
Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold and Augmented SchemesIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Qiang Yu
Chenxiang Ma
Shiming Song
Gaoyan Zhang
Jianwu Dang
Kay Chen Tan
196
61
0
05 May 2020
Hyperparameter Optimization in Binary Communication Networks for
  Neuromorphic Deployment
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic DeploymentIEEE International Joint Conference on Neural Network (IJCNN), 2020
Maryam Parsa
Catherine D. Schuman
Prasanna Date
Derek C. Rose
Bill Kay
...
Steven R. Young
Ryan Dellana
William M. Severa
T. Potok
Kaushik Roy
187
5
0
21 Apr 2020
Device-aware inference operations in SONOS nonvolatile memory arrays
Device-aware inference operations in SONOS nonvolatile memory arraysIEEE International Reliability Physics Symposium (IRPS), 2020
C. Bennett
T. Xiao
Ryan Dellana
V. Agrawal
Ben Feinberg
...
S. Saha
V. Raghavan
Ramesh Chettuvetty
S. Agarwal
M. Marinella
156
11
0
02 Apr 2020
Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks
  with Backward Residual Connections, Stochastic Softmax and Hybridization
Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization
Priyadarshini Panda
Sai Aparna Aketi
Kaushik Roy
248
33
0
30 Oct 2019
DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed
  Object Tracking
DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking
Zheyu Yang
Yujie Wu
Guanrui Wang
Yukuan Yang
Guoqi Li
Lei Deng
Jun Zhu
Luping Shi
200
51
0
15 Sep 2019
SpikeGrad: An ANN-equivalent Computation Model for Implementing
  Backpropagation with Spikes
SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with SpikesInternational Conference on Learning Representations (ICLR), 2019
Johannes C. Thiele
O. Bichler
A. Dupret
207
35
0
03 Jun 2019
Composing Neural Algorithms with Fugu
Composing Neural Algorithms with FuguInternational Conference on Systems (ICONS), 2019
J. Aimone
William M. Severa
C. Vineyard
210
37
0
28 May 2019
Making BREAD: Biomimetic strategies for Artificial Intelligence Now and
  in the Future
Making BREAD: Biomimetic strategies for Artificial Intelligence Now and in the Future
J. Krichmar
William M. Severa
Salar M. Khan
J. Olds
AI4CE
165
26
0
04 Dec 2018
A Survey of Neuromorphic Computing and Neural Networks in Hardware
A Survey of Neuromorphic Computing and Neural Networks in Hardware
Catherine D. Schuman
T. Potok
Robert M. Patton
J. Birdwell
Mark E. Dean
Garrett S. Rose
J. Plank
403
772
0
19 May 2017
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