460 citations · 1.2k across the 40 of their papers we have counts for
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Learning Variational Models with Unrolling and Bilevel Optimization
Christoph Brauer, Niklas Breustedt, Timo de Wolff +1
In this paper we consider the problem of learning variational models in the context of supervised learning via risk minimization. Our goal is to provide a deeper understanding of t…
Damage Identification in Fiber Metal Laminates using Bayesian Analysis with Model Order Reduction
Nanda Kishore Bellam Muralidhar, Carmen Gräßle, Natalie Rauter +3
Fiber metal laminates (FML) are composite structures consisting of metals and fiber reinforced plastics (FRP) which have experienced an increasing interest as the choice of materia…
Faster Randomized Block Sparse Kaczmarz by Averaging
Lionel Tondji, Dirk A Lorenz
The standard randomized sparse Kaczmarz (RSK) method is an algorithm to compute sparse solutions of linear systems of equations and uses sequential updates, and thus, does not take…
-Regularization of the Beckmann Problem
Dirk Lorenz, Hinrich Mahler, Christian Meyer
We investigate the problem of optimal transport in the so-called Beckmann form, i.e. given two Radon measures on a compact set, we seek an optimal flow field which is a vector valu…
Extended Randomized Kaczmarz Method for Sparse Least Squares and Impulsive Noise Problems
Frank Schöpfer, Dirk A Lorenz, Lionel Tondji +1
The Extended Randomized Kaczmarz method is a well known iterative scheme which can find the Moore-Penrose inverse solution of a possibly inconsistent linear system and requires onl…
Chambolle-Pock's Primal-Dual Method with Mismatched Adjoint
Dirk A. Lorenz, Felix Schneppe
The primal-dual method of Chambolle and Pock is a widely used algorithm to solve various optimization problems written as convex-concave saddle point problems. Each update step inv…