1 citations · 1 across the 2 of their papers we have counts for
2 papers
physics.chem-ph2023
On the Interplay of Subset Selection and Informed Graph Neural Networks
Niklas Breustedt, Paolo Climaco, Jochen Garcke +5
Machine learning techniques paired with the availability of massive datasets dramatically enhance our ability to explore the chemical compound space by providing fast and accurate…
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…