Edmond Cunningham

Learning Normal Coordinates on Riemannian Manifolds with Flow Charts

Riemannian manifolds are powerful models for problems with non-Euclidean structure. Recent work in geometric machine learning has focused on training deep neural networks to learn Riemannian metrics from high-dimensional data. However, many geometric algorithms require repeated evaluations of the exponential and logari...