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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…
stat.ML2023
Embeddings between Barron spaces with higher order activation functions
Tjeerd Jan Heeringa, Len Spek, Felix Schwenninger +1
The approximation properties of infinitely wide shallow neural networks heavily depend on the choice of the activation function. To understand this influence, we study embeddings b…