3 citations · 4 across the 3 of their papers we have counts for
3 papers
math.FA2026
Maximally Spread Out Measures and Implications for Phase Transitions in Approximation Theory
Hannes Matt, Erwin Riegler, Felix Voigtlaender
We establish the existence of a "maximally spread out" Borel probability measure on a totally bounded subset $\SC$ of a (…
math.FA2023★ 1 cited
Universal approximation with complex-valued deep narrow neural networks
Paul Geuchen, Thomas Jahn, Hannes Matt
We study the universality of complex-valued neural networks with bounded widths and arbitrary depths. Under mild assumptions, we give a full description of those activation functio…
math.CA2022★ 3 cited
Banach gradient flows for various families of knot energies
Hannes Matt, Daniel Steenebrügge, Heiko von der Mosel
We establish long-time existence of Banach gradient flows for generalised integral Menger curvatures and tangent-point energies, and for O'Hara's self-repulsive potentials $E^{α,p}…