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Spatial Interpolation

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TitleStatusHype
Stress-Testing Multimodal Foundation Models for Crystallographic ReasoningCode0
MODS: Multi-source Observations Conditional Diffusion Model for Meteorological State Downscaling—0
Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models—0
Stochastic Processes with Modified Lognormal Distribution Featuring Flexible Upper Tail—0
Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution—0
Adaptively Weighted Averaging Over-the-Air Computation and Its Application to Distributed Gaussian Process Regression—0
T-GMSI: A transformer-based generative model for spatial interpolation under sparse measurements—0
Knowledge Transfer and Domain Adaptation for Fine-Grained Remote Sensing Image SegmentationCode1
GeoConformal prediction: a model-agnostic framework of measuring the uncertainty of spatial prediction—0
A Generalized Unified Skew-Normal Process with Neural Bayes Inference—0
Spatial Transformers for Radio Map Estimation—0
Community search signatures as foundation features for human-centered geospatial modeling—0
Cross-Country Comparative Analysis of Climate Resilience and Localized Mapping in Data-Sparse Regions—0
Reservoir Static Property Estimation Using Nearest-Neighbor Neural Network—0
A Hybrid Framework for Spatial Interpolation: Merging Data-driven with Domain Knowledge—0
Boosting House Price Estimations with Multi-Head Gated AttentionCode0
AID: Attention Interpolation of Text-to-Image DiffusionCode2
Thermal Earth Model for the Conterminous United States Using an Interpolative Physics-Informed Graph Neural Network (InterPIGNN)—0
Ensemble learning for predictive uncertainty estimation with application to the correction of satellite precipitation products—0
NIIRF: Neural IIR Filter Field for HRTF Upsampling and PersonalizationCode1
Experimental Study of Spatial Statistics for Ultra-Reliable Communications—0
Augmenting Ground-Level PM2.5 Prediction via Kriging-Based Pseudo-Label Generation—0
ESTformer: Transformer Utilizing Spatiotemporal Dependencies for Electroencaphalogram Super-resolution—0
SSIN: Self-Supervised Learning for Rainfall Spatial InterpolationCode1
Improving Real Estate Appraisal with POI Integration and Areal EmbeddingCode0
Uncertainty estimation of machine learning spatial precipitation predictions from satellite data—0
Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields—0
Kriging Convolutional NetworksCode1
Positive definite nonparametric regression using an evolutionary algorithm with application to covariance function estimationCode0
Merging satellite and gauge-measured precipitation using LightGBM with an emphasis on extreme quantiles—0
Development of End-to-End Low-Cost IoT System for Densely Deployed PM Monitoring Network: An Indian Case Study—0
Deep Spatial Domain GeneralizationCode0
Video Shadow Detection via Spatio-Temporal Interpolation Consistency TrainingCode1
Improving trajectory calculations using deep learning inspired single image superresolution—0
Intelligent Spatial Interpolation-based Frost Prediction Methodology using Artificial Neural Networks with Limited Local DataCode0
Positional Encoder Graph Neural Networks for Geographic DataCode1
Attention-Based Spatial Interpolation for House Price PredictionCode0
Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning—0
A Markov Reward Process-Based Approach to Spatial InterpolationCode0
Geographic ratemaking with spatial embeddings—0
Wind Field Reconstruction with Adaptive Random Fourier Features—0
Centralized Information Interaction for Salient Object Detection—0
Integration of Roadside Camera Images and Weather Data for Monitoring Winter Road Surface Conditions—0
Bayesian deep learning for mapping via auxiliary information: a new era for geostatistics?—0
Example-Guided Image Synthesis using Masked Spatial-Channel Attention and Self-Supervision—0
Auxiliary-task learning for geographic data with autoregressive embeddingsCode1
Improving Spatio-Temporal Understanding of Particulate Matter using Low-Cost IoT Sensors—0
Deep Learning Framework for Detecting Ground Deformation in the Built Environment using Satellite InSAR data—0
Example-Guided Image Synthesis across Arbitrary Scenes using Masked Spatial-Channel Attention and Self-Supervision—0
πVAE: a stochastic process prior for Bayesian deep learning with MCMCCode1
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