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2102.10477
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Neural Sampling Machine with Stochastic Synapse allows Brain-like Learning and Inference
20 February 2021
S. Dutta
Georgios Detorakis
A. Khanna
B. Grisafe
Emre Neftci
S. Datta
BDL
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Papers citing
"Neural Sampling Machine with Stochastic Synapse allows Brain-like Learning and Inference"
9 / 9 papers shown
Title
Lightweight, error-tolerant edge detection using memristor-enabled stochastic logics
Lekai Song
Pengyu Liu
Jingfang Pei
Yang Liu
Songwei Liu
...
Leonard W. T. Ng
Tawfique Hasan
Kong-Pang Pun
Shuo Gao
Guohua Hu
49
0
0
25 Feb 2024
NeuSpin: Design of a Reliable Edge Neuromorphic System Based on Spintronics for Green AI
Soyed Tuhin Ahmed
K. Danouchi
G. Prenat
L. Anghel
M. Tahoori
12
0
0
11 Jan 2024
Synaptic Sampling of Neural Networks
J. Aimone
William M. Severa
J. D. Smith
BDL
12
1
0
21 Nov 2023
Deep Neuromorphic Networks with Superconducting Single Flux Quanta
G. Krylov
Alexander J. Edwards
Joseph S. Friedman
Eby G. Friedman
20
4
0
21 Sep 2023
Toward stochastic neural computing
Yang Qi
Zhichao Zhu
Yiming Wei
Lu Cao
Zhigang Wang
Jie Zhang
Wenlian Lu
Jianfeng Feng
14
3
0
23 May 2023
Binary stochasticity enabled highly efficient neuromorphic deep learning achieves better-than-software accuracy
Yang Li
Wei Wang
Ming Wang
C. Dou
Zhengyu Ma
...
Guanhua Yang
Feng Zhang
Ling Li
Daniele Ielmini
Ming-Yu Liu
16
5
0
25 Apr 2023
Sequence learning in a spiking neuronal network with memristive synapses
Younes Bouhadjar
S. Siegel
Tom Tetzlaff
M. Diesmann
Rainer Waser
D. Wouters
11
3
0
29 Nov 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,634
0
03 Jul 2012
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