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2003.01526
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On the rate of convergence of image classifiers based on convolutional neural networks
Annals of the Institute of Statistical Mathematics (AISM), 2020
3 March 2020
Michael Kohler
A. Krzyżak
Benjamin Walter
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Papers citing
"On the rate of convergence of image classifiers based on convolutional neural networks"
11 / 11 papers shown
Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality
Kyeongwon Lee
Lizhen Lin
Jaewoo Park
Seonghyun Jeong
192
0
0
23 Jun 2025
Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned by gradient descent
Journal of Statistical Planning and Inference (JSPI), 2024
Michael Kohler
A. Krzyżak
Benjamin Walter
261
1
0
13 May 2024
Misclassification bounds for PAC-Bayesian sparse deep learning
Machine-mediated learning (ML), 2024
The Tien Mai
UQCV
BDL
375
8
0
02 May 2024
What Can Be Learnt With Wide Convolutional Neural Networks?
International Conference on Machine Learning (ICML), 2022
Francesco Cagnetta
Alessandro Favero
Matthieu Wyart
MLT
667
16
0
01 Aug 2022
Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary
Tianyang Hu
Ruiqi Liu
Zuofeng Shang
Guang Cheng
161
3
0
04 Jul 2022
Analysis of convolutional neural network image classifiers in a rotationally symmetric model
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Michael Kohler
Benjamin Kohler
219
8
0
11 May 2022
Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks
Journal of the Korean Statistical Society (JKSS), 2022
Minwoo Chae
GAN
320
6
0
07 Feb 2022
Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks
International Conference on Machine Learning (ICML), 2021
Hao Liu
Minshuo Chen
T. Zhao
Wenjing Liao
297
41
0
07 Sep 2021
Convergence rates of deep ReLU networks for multiclass classification
Thijs Bos
Johannes Schmidt-Hieber
221
28
0
02 Aug 2021
Analysis of convolutional neural network image classifiers in a hierarchical max-pooling model with additional local pooling
Benjamin Walter
FAtt
171
20
0
31 May 2021
Statistical theory for image classification using deep convolutional neural networks with cross-entropy loss under the hierarchical max-pooling model
Journal of Statistical Planning and Inference (JSPI), 2020
Michael Kohler
S. Langer
406
25
0
27 Nov 2020
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