arxiv
PublishedMay 12, 2026 at 4:00 AM
The Geometric Structure of Models Learning Sparse Data
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arXiv:2605.08464v1 Announce Type: new Abstract: The manifold hypothesis (MH) is often used to explain how machine learning can overcome the curse of dimensionality. However, the MH is only applicable in regimes where the training data provides a sufficiently dense sample of the underlying low-dimens
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Originally published on arxiv ↗