Spatial Interpolation

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Most implemented papers archive 2025-07-28

18 shown of 18 papers with code (60 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Boosting House Price Estimations with Multi-Head Gated Attention
  13 May 2024 2 repositories listed
  Evaluating house prices is crucial for various stakeholders, including homeowners, investors, and policymakers.
• $π$VAE: a stochastic process prior for Bayesian deep learning with MCMC
  17 Feb 2020 2 repositories listed
  We show that our framework can accurately learn expressive function classes such as Gaussian processes, but also properties of functions to enable statistical inference (such as the integral of a log Gaussian process).
• Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning
  16 Jun 2025 1 repository listed
  Evaluating foundation models for crystallographic reasoning requires benchmarks that isolate generalization behavior while enforcing physical constraints.
• Knowledge Transfer and Domain Adaptation for Fine-Grained Remote Sensing Image Segmentation
  9 Dec 2024 1 repository listed
  FMM further adapts the knowledge to the specific domain to address domain shift.
• AID: Attention Interpolation of Text-to-Image Diffusion
  26 Mar 2024 1 repository listed Syntology ran 9 of 10 samples · 1 unverified · 10 pointer-only (licence)
  To that end, we introduce a novel training-free technique named Attention Interpolation via Diffusion (AID).
• NIIRF: Neural IIR Filter Field for HRTF Upsampling and Personalization
  27 Feb 2024 1 repository listed
  Existing NF-based methods focused on estimating the magnitude of the HRTF from a given sound source direction, and the magnitude is converted to a finite impulse response (FIR) filter.
• SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation
  27 Nov 2023 1 repository listed
  Inspired by the Cloze task and BERT, we fully consider the characteristics of spatial interpolation and design the SpaFormer model based on the Transformer architecture as the core of SSIN.
• Improving Real Estate Appraisal with POI Integration and Areal Embedding
  20 Nov 2023 1 repository listed
  Despite advancements in real estate appraisal methods, this study primarily focuses on two pivotal challenges.
• Kriging Convolutional Networks
  15 Jun 2023 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  Spatial interpolation is a class of estimation problems where locations with known values are used to estimate values at other locations, with an emphasis on harnessing spatial locality and trends.
• Positive definite nonparametric regression using an evolutionary algorithm with application to covariance function estimation
  25 Apr 2023 1 repository listed
  We also extend our method to estimate covariance functions for point-referenced data.
• Deep Spatial Domain Generalization
  3 Oct 2022 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Spatial domain generalization is a spatial extension of domain generalization, which can generalize to unseen spatial domains in continuous 2D space.
• Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training
  17 Jun 2022 1 repository listed
  Our proposed approach is extensively validated on the ViSha dataset and a self-annotated dataset.
• Intelligent Spatial Interpolation-based Frost Prediction Methodology using Artificial Neural Networks with Limited Local Data
  15 Apr 2022 1 repository listed
  In this article, a frost prediction method based on spatial interpolation is proposed.
• Positional Encoder Graph Neural Networks for Geographic Data
  19 Nov 2021 1 repository listed
  Graph neural networks (GNNs) provide a powerful and scalable solution for modeling continuous spatial data.
• Attention-Based Spatial Interpolation for House Price Prediction
  21 Oct 2021 1 repository listed
  For that, we propose a hybrid attention mechanism that weights neighbors based on their similarity to the house in terms of structural features and geographic location.
• A Markov Reward Process-Based Approach to Spatial Interpolation
  1 Jun 2021 1 repository listed
  The interpolation of spatial data can be of tremendous value in various applications, such as forecasting weather from only a few measurements of meteorological or remote sensing data.
• Auxiliary-task learning for geographic data with autoregressive embeddings
  18 Jun 2020 1 repository listed
  In this study, we propose SXL, a method for embedding information on the autoregressive nature of spatial data directly into the learning process using auxiliary tasks.
• Generating Realistic Geology Conditioned on Physical Measurements with Generative Adversarial Networks
  8 Feb 2018 1 repository listed
  An important problem in geostatistics is to build models of the subsurface of the Earth given physical measurements at sparse spatial locations.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.