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math.SP2021★ 7 cited
LDLE: Low Distortion Local Eigenmaps
Dhruv Kohli, Alexander Cloninger, Gal Mishne
We present Low Distortion Local Eigenmaps (LDLE), a manifold learning technique which constructs a set of low distortion local views of a dataset in lower dimension and registers t…
math.SP2017
The Geometry of Nodal Sets and Outlier Detection
Xiuyuan Cheng, Gal Mishne, Stefan Steinerberger
Let be a compact manifold and let be the sequence of Laplacian eigenfunctions. We present a curious new phenomenon which, so far, we only managed to under…