Search Results for author: Niklas Breustedt

Found 2 papers, 0 papers with code

On the Interplay of Subset Selection and Informed Graph Neural Networks

no code implementations15 Jun 2023 Niklas Breustedt, Paolo Climaco, Jochen Garcke, Jan Hamaekers, Gitta Kutyniok, Dirk A. Lorenz, Rick Oerder, Chirag Varun Shukla

However, learning on large datasets is strongly limited by the availability of computational resources and can be infeasible in some scenarios.

Learning Variational Models with Unrolling and Bilevel Optimization

no code implementations26 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.

Bilevel Optimization Rolling Shutter Correction

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