Connecting Neural Models Latent Geometries with Relative Geodesic Representations

Hanlin Yu, Berfin Inal, Georgios Arvanitidis +3

Neural models learn representations of high-dimensional data on low-dimensional manifolds. Multiple factors, including stochasticities in the training process, model architectures,…