no code implementations • 13 May 2024 • Michael Kohler, Adam Krzyzak, Benjamin Walter
Image classification based on over-parametrized convolutional neural networks with a global average-pooling layer is considered.
no code implementations • 28 Dec 2023 • Michael Kohler, Adam Krzyzak
One of the most recent and fascinating breakthroughs in artificial intelligence is ChatGPT, a chatbot which can simulate human conversation.
no code implementations • 31 Oct 2020 • Michael Kohler, Adam Krzyzak
A regression problem with dependent data is considered.
no code implementations • 29 Aug 2019 • Michael Kohler, Adam Krzyzak, Sophie Langer
Consequently, the rate of convergence of the estimate does not depend on its input dimension $d$, but on its local dimension $d^*$ and the DNNs are able to circumvent the curse of dimensionality in case that $d^*$ is much smaller than $d$.