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The Geometry of Manifold Learning: Singular foliations via Deep Learning models
Deep learning algorithms have become widely used and successful across a wide range of tasks. A key challenge is determining whether these algorithms truly capture the intrinsic geometry of their training data in order to better understand what they learn from data. In this theoretical work, we expl
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