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Cited article:
Houman Owhadi , Clint Scovel
ESAIM: PS, 21 (2017) 251-274
Published online: 2017-12-12
This article has been cited by the following article(s):
10 articles
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Do ideas have shape? Idea registration as the continuous limit of artificial neural networks
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GAN-Based Priors for Quantifying Uncertainty in Supervised Learning
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Learning dynamical systems from data: A simple cross-validation perspective, part I: Parametric kernel flows
Boumediene Hamzi and Houman Owhadi Physica D: Nonlinear Phenomena 421 132817 (2021) https://doi.org/10.1016/j.physd.2020.132817
Kernel Flows: From learning kernels from data into the abyss
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Gaussian approximation of general non-parametric posterior distributions
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Random Forward Models and Log-Likelihoods in Bayesian Inverse Problems
H. C. Lie, T. J. Sullivan and A. L. Teckentrup SIAM/ASA Journal on Uncertainty Quantification 6 (4) 1600 (2018) https://doi.org/10.1137/18M1166523