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Michael Kohler

Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned by gradient descent

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May 13, 2024
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On the rate of convergence of an over-parametrized Transformer classifier learned by gradient descent

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Dec 28, 2023
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Analysis of the expected $L_2$ error of an over-parametrized deep neural network estimate learned by gradient descent without regularization

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Nov 24, 2023
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Analysis of convolutional neural network image classifiers in a rotationally symmetric model

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May 11, 2022
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On the rate of convergence of a classifier based on a Transformer encoder

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Nov 29, 2021
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Estimation of a regression function on a manifold by fully connected deep neural networks

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Jul 20, 2021
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On the rate of convergence of a deep recurrent neural network estimate in a regression problem with dependent data

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Oct 31, 2020
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Common Voice: A Massively-Multilingual Speech Corpus

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Dec 13, 2019
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Deep Learning and MARS: A Connection

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Sep 08, 2019
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On the rate of convergence of fully connected very deep neural network regression estimates

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Aug 29, 2019
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