Matthias Katzfuss
Orcid: 0000-0001-7496-7992
According to our database1,
Matthias Katzfuss
authored at least 16 papers
between 2014 and 2023.
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Bibliography
2023
Correlation-based sparse inverse Cholesky factorization for fast Gaussian-process inference.
Stat. Comput., June, 2023
Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks.
CoRR, 2023
Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization.
CoRR, 2023
Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Hierarchical sparse Cholesky decomposition with applications to high-dimensional spatio-temporal filtering.
Stat. Comput., 2022
Spatial Surface Reflectance Retrievals for Visible/Shortwave Infrared Remote Sensing via Gaussian Process Priors.
Remote. Sens., 2022
SIAM/ASA J. Uncertain. Quantification, 2022
Scalable Gaussian-process regression and variable selection using Vecchia approximations.
J. Mach. Learn. Res., 2022
2021
SIAM J. Sci. Comput., 2021
Remote. Sens., 2021
J. Comput. Graph. Stat., 2021
Vecchia-Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data.
Comput. Stat. Data Anal., 2021
2017
Stat. Comput., 2017
2014
Technometrics, 2014