Statistical Deep Learning for Spatial and Spatio-Temporal Data

5 June 2022

Papers citing "Statistical Deep Learning for Spatial and Spatio-Temporal Data"

6 / 6 papers shown

Title
Neural Spatiotemporal Point Processes: Trends and Challenges Sumantrak Mukherjee Mouad Elhamdi George Mohler David Selby Yao Xie Sebastian Vollmer Gerrit Grossmann AI4TS 119 1 0 13 Feb 2025
A New Class of Realistic Spatio-Temporal Processes with Advection and Their Simulation Maria Laura Battagliola S. Olhede 30 0 0 05 Mar 2023
ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting Yu Huang James Li Min Shi H. Zhuang Xingquan Zhu Laurent Chérubin James H. VanZwieten Yufei Tang AI4CE PINN 21 6 0 12 Aug 2021
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 201 7,884 0 13 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 84 271 0 24 Feb 2014