Neural Architecture Search for Inversion. (arXiv:2201.01772v1 [cs.LG])

Over the year, people have been using deep learning to tackle inversion
problems, and we see the framework has been applied to build relationship
between recording wavefield and velocity (Yang et al., 2016). Here we will
extend the work from 2 perspectives, one is deriving a more appropriate loss
function, as we now, pixel-2-pixel comparison might not be the best choice to
characterize image structure, and we will elaborate on how to construct cost
function to capture high level feature …

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