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Understanding and mitigating noise in trained deep neural networks

Understanding and mitigating noise in trained deep neural networks

12 March 2021
N. Semenova
L. Larger
Daniel Brunner
    AI4CE
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Papers citing "Understanding and mitigating noise in trained deep neural networks"

14 / 14 papers shown
Title
Impact of internal noise on convolutional neural networks
Impact of internal noise on convolutional neural networks
Ivan Kolesnikov
Nadezhda Semenova
23
0
0
10 May 2025
Internal noise in hardware deep and recurrent neural networks helps with learning
Internal noise in hardware deep and recurrent neural networks helps with learning
Ivan Kolesnikov
Nadezhda Semenova
29
0
0
18 Apr 2025
Impact of white noise in artificial neural networks trained for
  classification: performance and noise mitigation strategies
Impact of white noise in artificial neural networks trained for classification: performance and noise mitigation strategies
N. Semenova
Daniel Brunner
35
4
0
07 Nov 2024
On Learnable Parameters of Optimal and Suboptimal Deep Learning Models
On Learnable Parameters of Optimal and Suboptimal Deep Learning Models
Ziwei Zheng
Huizhi Liang
V. Snás̃el
Vito Latora
Panos Pardalos
Giuseppe Nicosia
Varun Ojha
19
0
0
21 Aug 2024
Impact of white Gaussian internal noise on analog echo-state neural
  networks
Impact of white Gaussian internal noise on analog echo-state neural networks
Nadezhda Semenova
28
2
0
13 May 2024
Learning Galaxy Intrinsic Alignment Correlations
Learning Galaxy Intrinsic Alignment Correlations
Sneh Pandya
Yuanyuan Yang
N. V. Alfen
Jonathan Blazek
Robin Walters
37
0
0
21 Apr 2024
Hybrid Quantum-inspired Resnet and Densenet for Pattern Recognition with
  Completeness Analysis
Hybrid Quantum-inspired Resnet and Densenet for Pattern Recognition with Completeness Analysis
Andi Chen
Hua‐Lei Yin
Zeng-Bing Chen
Shengjun Wu
34
0
0
09 Mar 2024
An Empirical Study on Fault Detection and Root Cause Analysis of Indium
  Tin Oxide Electrodes by Processing S-parameter Patterns
An Empirical Study on Fault Detection and Root Cause Analysis of Indium Tin Oxide Electrodes by Processing S-parameter Patterns
Tae Yeob Kang
Haebom Lee
S. Suh
38
0
0
16 Aug 2023
Noise-Resilient Designs for Optical Neural Networks
Noise-Resilient Designs for Optical Neural Networks
Gianluca Kosmella
R. Stabile
J. Sanders
33
0
0
11 Aug 2023
The physics of optical computing
The physics of optical computing
Peter L. McMahon
11
142
0
31 Jul 2023
Noise impact on recurrent neural network with linear activation function
Noise impact on recurrent neural network with linear activation function
V. Moskvitin
N. Semenova
22
2
0
23 Mar 2023
Noise mitigation strategies in physical feedforward neural networks
Noise mitigation strategies in physical feedforward neural networks
N. Semenova
Daniel Brunner
19
13
0
20 Apr 2022
An optical neural network using less than 1 photon per multiplication
An optical neural network using less than 1 photon per multiplication
Tianyu Wang
Shifan Ma
Logan G. Wright
Tatsuhiro Onodera
Brian C. Richard
Peter L. McMahon
46
177
0
27 Apr 2021
All-Optical Machine Learning Using Diffractive Deep Neural Networks
All-Optical Machine Learning Using Diffractive Deep Neural Networks
Xing Lin
Y. Rivenson
N. Yardimci
Muhammed Veli
Mona Jarrahi
Aydogan Ozcan
76
1,628
0
14 Apr 2018
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