Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions

Boris Muzellec, Marco Cuturi

Nov-20-2025, 19:32:18 GMT–Neural Information Processing Systems

Such embeddings have been traditionally recovered by seeking isometric embeddings in lower dimensional Euclidean spaces, as studied in [Johnson and Lindenstrauss, 1984, Bourgain, 1985].

data mining, elliptical distribution, machine learning, (18 more...)

Neural Information Processing Systems

Nov-20-2025, 19:32:18 GMT

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Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions
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