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Found 2 papers, 2 papers with code
Dictionary-based Manifold Learning
We propose a paradigm for interpretable Manifold Learning for scientific data analysis, whereby we parametrize a manifold with $d$ smooth functions from a scientist-provided dictionary of meaningful, domain-related functions.
Manifold Coordinates with Physical Meaning
Manifold embedding algorithms map high-dimensional data down to coordinates in a much lower-dimensional space.
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