Data-driven nonsmooth optimization

1 code implementation • 2 Aug 2018 • Sebastian Banert, Axel Ringh, Jonas Adler, Johan Karlsson, Ozan Öktem

In this work, we consider methods for solving large-scale optimization problems with a possibly nonsmooth objective function.

Optimization and Control 90C25 (Primary) 68T05, 47H05 (Secondary)

Learning to solve inverse problems using Wasserstein loss

1 code implementation • 30 Oct 2017 • Jonas Adler, Axel Ringh, Ozan Öktem, Johan Karlsson

We propose using the Wasserstein loss for training in inverse problems.

Generalized Sinkhorn iterations for regularizing inverse problems using optimal mass transport

2 code implementations • 7 Dec 2016 • Johan Karlsson, Axel Ringh

In particular we consider a limited-angle computerized tomography problem, where a priori information is used to compensate for missing measurements.

Optimization and Control 49N45, 90C25, 94A08