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Missing Data Imputation under Manifold Hypothesis

This story is from 2026-09-16. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2607.03641v3 Announce Type: replace Abstract: The manifold hypothesis posits that high-dimensional data are concentrated near a low-dimensional embedded manifold. Recent advances in mixture variational autoencoders (VAEs) provide a powerful tool for extracting such underlying structure in a f…

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  1. 2026-09-16 04:00 · arXiv stat.ML
    Missing Data Imputation under Manifold Hypothesis

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