{"total":15,"rows":[{"id":"2306.11472","title":"Spatio-temporal DeepKriging for Interpolation and Probabilistic Forecasting","created":"2023-06-20","cited_by_count":13,"area":null},{"id":"2304.09157","title":"Neural networks for geospatial data","created":"2023-04-18","cited_by_count":11,"area":null},{"id":"2403.07657","title":"Scalable Spatiotemporal Prediction with Bayesian Neural Fields","created":"2024-03-12","cited_by_count":10,"area":null},{"id":"2305.04341","title":"Fast parameter estimation of Generalized Extreme Value distribution using Neural Networks","created":"2023-05-07","cited_by_count":7,"area":null},{"id":"2502.09341","title":"Neural Spatiotemporal Point Processes: Trends and Challenges","created":"2025-02-13","cited_by_count":5,"area":null},{"id":"2507.03855","title":"Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting","created":"2025-07-05","cited_by_count":3,"area":null},{"id":"2307.08038","title":"Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields","created":"2023-07-16","cited_by_count":2,"area":null},{"id":"2311.16187","title":"Modelling wildland fire burn severity in California using a spatial Super Learner approach","created":"2023-11-25","cited_by_count":1,"area":null},{"id":"2403.07822","title":"Fusing Climate Data Products using a Spatially Varying Autoencoder","created":"2024-03-12","cited_by_count":1,"area":null},{"id":"2306.08445","title":"Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems","created":"2023-06-14","cited_by_count":0,"area":null},{"id":"2411.03360","title":"Pedestrian Volume Prediction Using a Diffusion Convolutional Gated Recurrent Unit Model","created":"2024-11-05","cited_by_count":0,"area":null},{"id":"2411.03620","title":"A Subsampling Based Neural Network for Spatial Data","created":"2024-11-06","cited_by_count":0,"area":null},{"id":"2503.24237","title":"Spatio-temporal Prediction of Fine-Grained Origin-Destination Matrices with Applications in Ridesharing","created":"2025-03-31","cited_by_count":0,"area":null},{"id":"2605.11394","title":"Spatial Adapter: Structured Spatial Decomposition and Closed-Form Covariance for Frozen Predictors","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2607.10410","title":"TSCoNet: A Two-Stage Copula CNN-LSTM for Uncertainty-Aware Spatio-Temporal Forecasting","created":"2026-07-11","cited_by_count":0,"area":null}],"next_cursor":null}