48 citations · 303 across the 37 of their papers we have counts for
3 papers · 1 filter
Interpolation and Extrapolation of Toeplitz Matrices via Optimal Mass Transport
Filip Elvander, Andreas Jakobsson, Johan Karlsson
In this work, we propose a novel method for quantifying distances between Toeplitz structured covariance matrices. By exploiting the spectral representation of Toeplitz matrices, t…
Learning to solve inverse problems using Wasserstein loss
Jonas Adler, Axel Ringh, Ozan Öktem +1
We propose using the Wasserstein loss for training in inverse problems. In particular, we consider a learned primal-dual reconstruction scheme for ill-posed inverse problems using…
Multidimensional Rational Covariance Extension with Approximate Covariance Matching
Axel Ringh, Johan Karlsson, Anders Lindquist
In our companion paper "Multidimensional rational covariance extension with applications to spectral estimation and image compression" we discussed the multidimensional rational co…