Posterior Inference for Sparse Hierarchical Non-stationary Models

Posterior Inference for Sparse Hierarchical Non-stationary Models

4 April 2018

K. Monterrubio-Gómez

Theo Damoulas

Papers citing "Posterior Inference for Sparse Hierarchical Non-stationary Models"

11 / 11 papers shown

Title
STRIDE: Sparse Techniques for Regression in Deep Gaussian Processes Simon Urbainczyk Aretha L. Teckentrup Jonas Latz GP 17 0 0 16 May 2025
Bayesian Deep Learning with Multilevel Trace-class Neural Networks Neil K. Chada Ajay Jasra K. Law Sumeetpal S. Singh BDL UQCV 83 3 0 24 Mar 2022
Hierarchical Non-Stationary Temporal Gaussian Processes With $L^1$ -Regularization Zheng Zhao Rui Gao Simo Särkkä 20 0 0 20 May 2021
Transforming Gaussian Processes With Normalizing Flows Juan Maroñas Oliver Hamelijnck Jeremias Knoblauch Theodoros Damoulas 34 34 0 03 Nov 2020
Deep State-Space Gaussian Processes Zheng Zhao M. Emzir Simo Särkkä GP 43 19 0 11 Aug 2020
Blind hierarchical deconvolution Arttu Arjas L. Roininen M. Sillanpää A. Hauptmann 18 4 0 22 Jul 2020
Non-Stationary Multi-layered Gaussian Priors for Bayesian Inversion M. Emzir Sari Lasanen Z. Purisha L. Roininen Simo Särkkä 24 9 0 28 Jun 2020
Multi-Scale Process Modelling and Distributed Computation for Spatial Data A. Zammit‐Mangion J. Rougier 24 11 0 17 Jul 2019
Physics-Informed CoKriging: A Gaussian-Process-Regression-Based Multifidelity Method for Data-Model Convergence Xiu Yang D. Barajas-Solano G. Tartakovsky A. Tartakovsky 15 77 0 24 Nov 2018
Semivariogram methods for modeling Whittle-Matérn priors in Bayesian inverse problems Richard D. Brown Johnathan M. Bardsley Tiangang Cui 16 7 0 23 Nov 2018
Estimating deformations of isotropic Gaussian random fields on the plane E. Anderes Michael L. Stein 263 91 0 04 Apr 2008