will talk about 'generalized curvatures and the geometry of data'
Abstract: Curvature is the most important concept of Riemannian geometry, and it has been extended to metric spaces. Here, I shall develop a notion of curvature that also applies to discrete spaces (as occurring as data samples), links curvature to the concept of hyperconvexity and offers a geometric view on topological data analysis.
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