This paper presents a method for finding a sparse representation of Barron
functions. Specifically, given an $L^2$ function $f$, the inverse scale space
flow is used to find a sparse measure $\mu$ minimising the $L^2$ loss between
the Barron function associated to the measure $\mu$ and