Deep Compositional Spatial Models

6 June 2019

Papers citing "Deep Compositional Spatial Models"

8 / 8 papers shown

Title
Spatial Bayesian Neural Networks A. Zammit‐Mangion Michael D. Kaminski Ba-Hien Tran Maurizio Filippone Noel Cressie BDL 18 7 0 16 Nov 2023
Neural networks for geospatial data Wentao Zhan A. Datta 24 11 0 18 Apr 2023
Semiparametric Regression for Spatial Data via Deep Learning Kexuan Li Jun Zhu A. Ives V. Radeloff Fangfang Wang 28 8 0 10 Jan 2023
A review of predictive uncertainty estimation with machine learning Hristos Tyralis Georgia Papacharalampous UD UQCV 59 43 0 17 Sep 2022
Spherical Poisson Point Process Intensity Function Modeling and Estimation with Measure Transport T. L. J. Ng A. Zammit‐Mangion 24 3 0 24 Jan 2022
Deep Integro-Difference Equation Models for Spatio-Temporal Forecasting A. Zammit‐Mangion C. Wikle 8 47 0 29 Oct 2019
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 92 271 0 24 Feb 2014
Estimating deformations of isotropic Gaussian random fields on the plane E. Anderes Michael L. Stein 233 91 0 04 Apr 2008