no code implementations • 26 Sep 2022 • Christoph Brauer, Niklas Breustedt, Timo de Wolff, Dirk A. Lorenz
In this paper we consider the problem of learning variational models in the context of supervised learning via risk minimization.
no code implementations • 15 Jun 2018 • Christoph Brauer, Dirk Lorenz
In this work, we propose a deep neural network architecture motivated by primal-dual splitting methods from convex optimization.
1 code implementation • 18 Oct 2017 • Christoph Brauer, Christian Clason, Dirk Lorenz, Benedikt Wirth
We further investigate numerically the robustness of the proposed method with respect to parameters such as the mesh size of the discretization.