• Publications
  • Influence
The troublesome kernel: why deep learning for inverse problems is typically unstable
In this paper we present a comprehensive mathematical analysis explaining the many facets of the instability phenomenon in DL for inverse problems. Expand
  • 17
  • 1
  • PDF
Convergence of Levy–Lieb to Thomas–Fermi density functional
We prove that the Levy–Lieb density functional Gamma-converges to the Thomas–Fermi functional in the semiclassical mean-field limit. In particular, this aides an easy alternative proof of theExpand
  • 3
  • PDF