On the rate of convergence of image classifiers based on convolutional neural networks. - Michael Kohler; Adam Krzyzak; Benjamin Walter 001 (CoRR, 2020)

Analysis of convolutional neural network image classifiers in a hierarchical max-pooling model with additional local pooling. - Benjamin Walter 001 (CoRR, 2021)

Analysis of convolutional neural network image classifiers in a rotationally symmetric model. - Michael Kohler; Benjamin Walter 001 (CoRR, 2022)

Konvergenzraten von Bildklassifikatoren basierend auf faltenden neuronalen Netzen. - Benjamin Walter 001 (2023)

Rate of Convergence of an Over-Parametrized Convolutional Neural Network Image Classifier Learned by Gradient Descent. - Michael Kohler; Benjamin Walter 001; Adam Krzyzak (ISIT, 2024)

Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned by gradient descent. - Michael Kohler; Adam Krzyzak; Benjamin Walter 001 (CoRR, 2024)