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Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels.

, , , , , and . NeurIPS, page 17160-17169. (2021)

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Matérn Gaussian Processes on Graphs., , , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 2593-2601. PMLR, (2021)Hodge-Compositional Edge Gaussian Processes., , and . CoRR, (2023)Pathwise Conditioning of Gaussian Processes., , , , and . CoRR, (2020)The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs., , , , , , , , and . CoRR, (2024)Efficiently sampling functions from Gaussian process posteriors., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 10292-10302. PMLR, (2020)Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels., , , , , and . NeurIPS, page 17160-17169. (2021)Implicit Manifold Gaussian Process Regression., , , and . CoRR, (2023)Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces., , , and . CoRR, (2023)Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds., , , , and . ICML, OpenReview.net, (2024)Pathwise Conditioning of Gaussian Processes., , , , and . J. Mach. Learn. Res., (2021)