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stat.ML2023
Learning a Sparse Representation of Barron Functions with the Inverse Scale Space Flow
Tjeerd Jan Heeringa, Tim Roith, Christoph Brune +1
This paper presents a method for finding a sparse representation of Barron functions. Specifically, given an function , the inverse scale space flow is used to find a spar…
math.NA2023
Learned Regularization for Inverse Problems: Insights from a Spectral Model
Martin Burger, Samira Kabri
In this chapter we provide a theoretically founded investigation of state-of-the-art learning approaches for inverse problems from the point of view of spectral reconstruction oper…