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Spatial Surface Reflectance Retrievals for Visible/Shortwave Infrared Remote Sensing via Gaussian Process Priors.

, , , , , and . Remote. Sens., 14 (9): 2183 (2022)

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Scalable Gaussian-process regression and variable selection using Vecchia approximations., , , and . J. Mach. Learn. Res., (2022)Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes., and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 1492-1512. PMLR, (2023)Spatial Surface Reflectance Retrievals for Visible/Shortwave Infrared Remote Sensing via Gaussian Process Priors., , , , , and . Remote. Sens., 14 (9): 2183 (2022)Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks., and . CoRR, (2023)Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 3559-3576. PMLR, (2023)Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes., and . CoRR, (2022)Probabilistic Skip Connections for Deterministic Uncertainty Quantification in Deep Neural Networks., and . CoRR, (January 2025)Sparse Cholesky factorization by Kullback-Leibler minimization., , and . CoRR, (2020)Hierarchical sparse Cholesky decomposition with applications to high-dimensional spatio-temporal filtering., and . Stat. Comput., 32 (1): 15 (2022)Spatio-Temporal Data Fusion for Very Large Remote Sensing Datasets., , , and . Technometrics, 56 (2): 174-185 (2014)