1 citations · 1 across the 3 of their papers we have counts for
12 papers
On approximate operator representations of sequences in Banach spaces
Ole Christensen, Marzieh Hasannasab, Gabriele Steidl
Generalizing results by Halperin et al., Grivaux recently showed that any linearly independent sequence in a separable Banach space can be represented as…
Invertible Neural Networks versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence
Anna Andrle, Nando Farchmin, Paul Hagemann +3
Grazing incidence X-ray fluorescence is a non-destructive technique for analyzing the geometry and compositional parameters of nanostructures appearing e.g. in computer chips. In t…
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…
Robust PCA via Regularized REAPER with a Matrix-Free Proximal Algorithm
Robert Beinert, Gabriele Steidl
Principal component analysis (PCA) is known to be sensitive to outliers, so that various robust PCA variants were proposed in the literature. A recent model, called REAPER, aims to…
A New Constrained Optimization Model for Solving the Nonsymmetric Stochastic Inverse Eigenvalue Problem
Gabriele Steidl, Maximilian Winkler
The stochastic inverse eigenvalue problem aims to reconstruct a stochastic matrix from its spectrum. While there exists a large literature on the existence of solutions for special…
From Optimal Transport to Discrepancy
Sebastian Neumayer, Gabriele Steidl
A common way to quantify the ,,distance'' between measures is via their discrepancy, also known as maximum mean discrepancy (MMD). Discrepancies are related to Sinkhorn divergences…