11 citations · 11 across the 3 of their papers we have counts for
3 papers
math.FA2021
An asymptotic analysis of separating pointlike and -curvelike singularities
Van Tiep Do, Alex Goeßmann
In this paper, we present a theoretical analysis of separating images consisting of pointlike and -curvelike structures, where . Our approach is based on …
stat.ML2020
The Restricted Isometry of ReLU Networks: Generalization through Norm Concentration
Alex Goeßmann, Gitta Kutyniok
While regression tasks aim at interpolating a relation on the entire input space, they often have to be solved with a limited amount of training data. Still, if the hypothesis func…
math.NA2020★ 11 cited
Tensor network approaches for learning non-linear dynamical laws
A. Goeßmann, M. Götte, I. Roth +3
Given observations of a physical system, identifying the underlying non-linear governing equation is a fundamental task, necessary both for gaining understanding and generating det…