spatial data

Similar Region Search using LLMs on Spatial Feature Space EACL 2026 GER-LLM: Efficient and Effective Geospatial Entity Resolution with Large Language Model EMNLP 2025 GeoIndia: A Seq2Seq Geocoding Approach for Indian Addresses EMNLP 2024 Identifiable Feature Learning for Spatial Data with Nonlinear ICA AISTATS 2024 Actually Sparse Variational Gaussian Processes AISTATS 2023 Positional Encoder Graph Neural Networks for Geographic Data AISTATS 2023 Spatial Mixture-of-Experts NeurIPS 2022 Spatial Multivariate Trees for Big Data Bayesian Regression JMLR 2022 Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract) IJCAI 2022 A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables JMLR 2021 Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information AISTATS 2020 The Quantile Snapshot Scan: Comparing Quantiles of Spatial Data from Two Snapshots in Time AISTATS 2020 Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities AAAI 2019 Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs NeurIPS 2019 Mining Convex Polygon Patterns with Formal Concept Analysis IJCAI 2017 Efficient Computation of Gaussian Process Regression for Large Spatial Data Sets by Patching Local Gaussian Processes JMLR 2016 Gaussian Process Random Fields NeurIPS 2015 Tree-structured Gaussian Process Approximations NeurIPS 2014 Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets JMLR 2011