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The troublesome kernel: why deep learning for inverse problems is typically unstable
TLDR
In this paper we present a comprehensive mathematical analysis explaining the many facets of the instability phenomenon in DL for inverse problems. Expand
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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
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