66 citations · 124 across the 22 of their papers we have counts for
3 papers · 1 filter
On the rate of convergence of a classifier based on a Transformer encoder
Iryna Gurevych, Michael Kohler, Gözde Gül Sahin
Pattern recognition based on a high-dimensional predictor is considered. A classifier is defined which is based on a Transformer encoder. The rate of convergence of the misclassifi…
Estimation of a regression function on a manifold by fully connected deep neural networks
Michael Kohler, Sophie Langer, Ulrich Reif
Estimation of a regression function from independent and identically distributed data is considered. The error with integration with respect to the distribution of the predic…
Convergence rates for shallow neural networks learned by gradient descent
Alina Braun, Michael Kohler, Sophie Langer +1
In this paper we analyze the error of neural network regression estimates with one hidden layer. Under the assumption that the Fourier transform of the regression function de…