Spatio-temporal DeepKriging for Interpolation and Probabilistic Forecasting

20 June 2023

Papers citing "Spatio-temporal DeepKriging for Interpolation and Probabilistic Forecasting"

15 / 15 papers shown

Title
Statistical Deep Learning for Spatial and Spatio-Temporal Data C. Wikle A. Zammit‐Mangion BDL 147 48 0 05 Jun 2022
Will Artificial Intelligence supersede Earth System and Climate Models? C. Irrgang Niklas Boers Maike Sonnewald E. Barnes C. Kadow J. Staneva J. Saynisch‐Wagner AI4Cl AI4CE 73 189 0 22 Jan 2021
DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction Wanfang Chen Yuxiao Li Brian J. Reich Ying Sun 75 32 0 23 Jul 2020
Valid model-free spatial prediction Huiying Mao Ryan Martin Brian J. Reich 69 26 0 28 Jun 2020
Time Series Forecasting Using LSTM Networks: A Symbolic Approach S. Elsworth S. Güttel AI4TS 45 106 0 12 Mar 2020
Deep Integro-Difference Equation Models for Spatio-Temporal Forecasting A. Zammit‐Mangion C. Wikle 249 47 0 29 Oct 2019
DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis Systems Muhammad Rehman Zafar N. Khan FAtt 112 158 0 24 Jun 2019
Missing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network Qiang Zhang Qiangqiang Yuan Chao Zeng Xinghua Li Yancong Wei 63 317 0 23 Feb 2018
Nonparametric regression using deep neural networks with ReLU activation function Johannes Schmidt-Hieber 232 815 0 22 Aug 2017
An Ensemble Quadratic Echo State Network for Nonlinear Spatio-Temporal Forecasting Patrick L. McDermott C. Wikle 96 73 0 16 Aug 2017
FRK: An R Package for Spatial and Spatio-Temporal Prediction with Large Datasets A. Zammit‐Mangion Noel Cressie 71 76 0 23 May 2017
Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets Yunjie Liu Evan Racah P. Prabhat Joaquin Correa A. Khosrowshahi D. Lavers K. Kunkel M. Wehner W. Collins AI4Cl 63 353 0 04 May 2016
An Introduction to Convolutional Neural Networks K. O’Shea Ryan Nash FaML HAI 82 3,159 0 26 Nov 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 568 8,005 0 13 Jun 2015
L2 Regularization for Learning Kernels Corinna Cortes M. Mohri Afshin Rostamizadeh 107 445 0 09 May 2012