DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction

23 July 2020

Papers citing "DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction"

6 / 6 papers shown

Title
A Hybrid Framework for Spatial Interpolation: Merging Data-driven with Domain Knowledge Cong Zhang S. Du Hongqing Song Yuhe Wang 27 1 0 28 Aug 2024
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
Random forests for binary geospatial data Arkajyoti Saha A. Datta AI4CE 30 2 0 27 Feb 2023
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
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015