Entropy-based closure for probabilistic learning on manifolds

21 Mar 2018C. SoizeaR. GhanemC. SaftaX. HuanZ. P. VaneJ. OefeleinG. LacazH. N. NajmQ. TangX. Chen

In a recent paper, the authors proposed a general methodology for probabilistic learning on manifolds. The method was used to generate numerical samples that are statistically consistent with an existing dataset construed as a realization from a non-Gaussian random vector... (read more)

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