Discovering Data Manifold Geometry through Geometric Properties
An unsupervised objective is derived that learns structural properties of a representation map and theoretical results connecting its minimization to tangent-space recovery are established, while an autoencoder baseline shows that small map-first errors can still produce substantial violations of the targeted propertie...