The ability to automate the discovery process in some areas of scientific inquiry raises unanswered questions about how ...
Abstract: Recently, Optimal Transport has been proposed as a probabilistic framework in Machine Learning for comparing and manipulating probability distributions. This is rooted in its rich history ...
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