Matthias Katzfuss

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 17

Top Topics

Gaussian Process

Top Venues

Publications

Stephen Huan, Joseph Guinness, Matthias Katzfuss, Houman Owhadi, Florian Schäfer
Sparse Cholesky factorization by greedy conditional selection. CoRR (2023)
Myeongjong Kang, Matthias Katzfuss
Correlation-based sparse inverse Cholesky factorization for fast Gaussian-process inference. Stat. Comput. 33 (3) (2023)
Felix Jimenez, Matthias Katzfuss
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes. AISTATS (2023)
Felix Jimenez, Matthias Katzfuss
Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks. CoRR (2023)
Jian Cao, Myeongjong Kang, Felix Jimenez, Huiyan Sang, Florian Tobias Schaefer, Matthias Katzfuss
Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization. ICML (2023)
Jian Cao, Myeongjong Kang, Felix Jimenez, Huiyan Sang, Florian Schäfer, Matthias Katzfuss
Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization. CoRR (2023)
Matthias Katzfuss, Joseph Guinness, Earl Lawrence
Scaled Vecchia Approximation for Fast Computer-Model Emulation. SIAM/ASA J. Uncertain. Quantification 10 (2) (2022)
Marcin Jurek, Matthias Katzfuss
Hierarchical sparse Cholesky decomposition with applications to high-dimensional spatio-temporal filtering. Stat. Comput. 32 (1) (2022)
Felix Jimenez, Matthias Katzfuss
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes. CoRR (2022)
Daniel Zilber, David R. Thompson, Matthias Katzfuss, Vijay Natraj, Jonathan Hobbs, Amy Braverman
Spatial Surface Reflectance Retrievals for Visible/Shortwave Infrared Remote Sensing via Gaussian Process Priors. Remote. Sens. 14 (9) (2022)
Jian Cao, Joseph Guinness, Marc G. Genton, Matthias Katzfuss
Scalable Gaussian-process regression and variable selection using Vecchia approximations. J. Mach. Learn. Res. 23 (2022)
Marcin Jurek, Matthias Katzfuss
Multi-Resolution Filters for Massive Spatio-Temporal Data. J. Comput. Graph. Stat. 30 (4) (2021)
Daniel Zilber, Matthias Katzfuss
Vecchia-Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data. Comput. Stat. Data Anal. 153 (2021)
Jonathan Hobbs, Matthias Katzfuss, Daniel Zilber, Jenný Brynjarsdóttir, Anirban Mondal, Veronica J. Berrocal
Spatial Retrievals of Atmospheric Carbon Dioxide from Satellite Observations. Remote. Sens. 13 (4) (2021)
Florian Schäfer, Matthias Katzfuss, Houman Owhadi
Sparse Cholesky Factorization by Kullback-Leibler Minimization. SIAM J. Sci. Comput. 43 (3) (2021)
Florian Schäfer, Matthias Katzfuss, Houman Owhadi
Sparse Cholesky factorization by Kullback-Leibler minimization. CoRR (2020)
Matthias Katzfuss, Dorit Hammerling
Parallel inference for massive distributed spatial data using low-rank models. Stat. Comput. 27 (2) (2017)
Hai Nguyen, Matthias Katzfuss, Noel Cressie, Amy Braverman
Spatio-Temporal Data Fusion for Very Large Remote Sensing Datasets. Technometrics 56 (2) (2014)