26 citations · 29 across the 6 of their papers we have counts for
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stat.ML2022★ 1 cited
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…
stat.ML2018★ 1 cited
Primal-dual residual networks
Christoph Brauer, Dirk Lorenz
In this work, we propose a deep neural network architecture motivated by primal-dual splitting methods from convex optimization. We show theoretically that there exists a close rel…