Memory of past random wave conditions in submarine groundwater discharge

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Wave breaking is a complex physical process about which open questions remain. For some applications, it is critical to include breaking effects in phase-resolved envelope-based wave models such as the non-linear Schr & ouml;dinger. A promising approach is ...

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We present a framework for performing regression when both covariate and response are probability distributions on a compact and convex subset of

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We consider the problem of learning a target function corresponding to a deep, extensive-width, non-linear neural network with random Gaussian weights. We consider the asymptotic limit where the number of samples, the input dimension and the network width ...

Memory of past random wave conditions in submarine groundwater discharge

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