Search Results for author: Thomas Jahn

Found 2 papers, 0 papers with code

Universal approximation with complex-valued deep narrow neural networks

no code implementations26 May 2023 Paul Geuchen, Thomas Jahn, Hannes Matt

We show that a width of $2n+2m+5$ is always sufficient and that in general a width of $\max\{2n, 2m\}$ is necessary.

Coproximinality of linear subspaces in generalized Minkowski spaces

no code implementations14 Jan 2021 Thomas Jahn, Christian Richter

We show that, for vector spaces in which distance measurement is performed using a gauge, the existence of best coapproximations in $1$-codimensional closed linear subspaces implies in dimensions $\geq 2$ that the gauge is a norm, and in dimensions $\geq 3$ that the gauge is even a Hilbert space norm.

Metric Geometry Functional Analysis

Cannot find the paper you are looking for? You can Submit a new open access paper.