26 citations · 156 across the 36 of their papers we have counts for
6 papers · 1 filter
On a linear Gromov-Wasserstein distance
Florian Beier, Robert Beinert, Gabriele Steidl
Gromov-Wasserstein distances are generalization of Wasserstein distances, which are invariant under distance preserving transformations. Although a simplified version of optimal tr…
Approximation of Curve-based Sleeve Functions in High Dimensions
Robert Beinert
Sleeve functions are generalizations of the well-established ridge functions that play a major role in the theory of partial differential equation, medical imaging, statistics, and…
On the Dynamical System of Principal Curves in
Robert Beinert, Arian Bërdëllima, Manuel Gräf +1
Principal curves are natural generalizations of principal lines arising as first principal components in the Principal Component Analysis. They can be characterized from a stochast…
Phase Retrieval and System Identification in Dynamical Sampling via Prony's Method
Robert Beinert, Marzieh Hasannasab
Phase retrieval in dynamical sampling is a novel research direction, where an unknown signal has to be recovered from the phaseless measurements with respect to a dynamical frame,…
Phase Retrieval via Polarization in Dynamical Sampling
Robert Beinert, Marzieh Hasannasab
In this paper we consider the nonlinear inverse problem of phase retrieval in the context of dynamical sampling. Where phase retrieval deals with the recovery of signals & images f…
Super-Resolution for Doubly-Dispersive Channel Estimation
Robert Beinert, Peter Jung, Gabriele Steidl +1
In this work we consider the problem of identification and reconstruction of doubly-dispersive channel operators which are given by finite linear combinations of time-frequency shi…