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Pulling back information geometry.

, , , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 4872-4894. PMLR, (2022)

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An Empirical Study on the Performance of Spectral Manifold Learning Techniques., , and . ICANN (1), volume 6791 of Lecture Notes in Computer Science, page 347-354. Springer, (2011)Expected path length on random manifolds., and . CoRR, (2019)Learning Riemannian Manifolds for Geodesic Motion Skills., , , , and . Robotics: Science and Systems, (2021)Isometric Gaussian Process Latent Variable Model for Dissimilarity Data., and . CoRR, (2020)Spatial Measures between Human Poses for Classification and Understanding., and . AMDO, volume 7378 of Lecture Notes in Computer Science, page 26-36. Springer, (2012)Benchmarking Generative Latent Variable Models for Speech., , , , and . CoRR, (2022)Is an encoder within reach?, , , , , and . CoRR, (2022)Variational Point Encoding Deformation for Dental Modeling., , , and . CoRR, (2023)Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models., , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 2368-2377. PMLR, (2019)Can You Trust Predictive Uncertainty Under Real Dataset Shifts in Digital Pathology?, , , , , and . MICCAI (1), volume 12261 of Lecture Notes in Computer Science, page 824-833. Springer, (2020)