Spatially-informed transformers: Injecting geostatistical covariance biases into self-attention for spatio-temporal forecasting
Fuente:
arXiv
Saved in:
| Main Author: | Calleo, Yuri |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Spatio-temporal modeling and forecasting with Fourier neural operators
by: Nag, Pratik, et al.
Published: (2026)
by: Nag, Pratik, et al.
Published: (2026)
An intuitive rearranging of the Yates covariance decomposition for probabilistic verification of forecasts with the Brier score
by: Vieira, Bruno Hebling
Published: (2026)
by: Vieira, Bruno Hebling
Published: (2026)
Connecting reflective asymmetries in multivariate spatial and spatio-temporal covariances
by: Yarger, Drew
Published: (2026)
by: Yarger, Drew
Published: (2026)
Statistical ranking with dynamic covariates
by: Dong, Pinjun, et al.
Published: (2024)
by: Dong, Pinjun, et al.
Published: (2024)
Nonparametric regression of spatio-temporal data using infinite-dimensional covariates
by: Roy, Subhrajyoty, et al.
Published: (2026)
by: Roy, Subhrajyoty, et al.
Published: (2026)
A class of modular and flexible covariate-based covariance functions for nonstationary spatial modeling
by: Blasi, Federico, et al.
Published: (2024)
by: Blasi, Federico, et al.
Published: (2024)
Convex estimation of Gaussian graphical regression models with covariates
by: Liu, Ruobin, et al.
Published: (2024)
by: Liu, Ruobin, et al.
Published: (2024)
Learning covariate importance for matching in policy-relevant observational research
by: Zhang, Hongzhe, et al.
Published: (2024)
by: Zhang, Hongzhe, et al.
Published: (2024)
Applying non-negative matrix factorization with covariates to label matrix for classification
by: Satoh, Kenichi
Published: (2025)
by: Satoh, Kenichi
Published: (2025)
Active learning with biased non-response to label requests
by: Robinson, Thomas, et al.
Published: (2023)
by: Robinson, Thomas, et al.
Published: (2023)
Detecting critical treatment effect bias in small subgroups
by: De Bartolomeis, Piersilvio, et al.
Published: (2024)
by: De Bartolomeis, Piersilvio, et al.
Published: (2024)
Online detection of forecast model inadequacies using forecast errors
by: Grundy, Thomas, et al.
Published: (2025)
by: Grundy, Thomas, et al.
Published: (2025)
BARTSIMP: flexible spatial covariate modeling and prediction using Bayesian additive regression trees
by: Jiang, Alex Ziyu, et al.
Published: (2023)
by: Jiang, Alex Ziyu, et al.
Published: (2023)
Clustered random forests with correlated data for optimal estimation and inference under potential covariate shift
by: Young, Elliot H., et al.
Published: (2025)
by: Young, Elliot H., et al.
Published: (2025)
Amortized Bayesian Local Interpolation NetworK: Fast covariance parameter estimation for Gaussian Processes
by: Feng, Brandon R., et al.
Published: (2024)
by: Feng, Brandon R., et al.
Published: (2024)
Minimum Wasserstein distance estimator under covariate shift: closed-form, super-efficiency and irregularity
by: Lang, Junjun, et al.
Published: (2026)
by: Lang, Junjun, et al.
Published: (2026)
A projected nonlinear state-space model for forecasting time series signals
by: Donner, Christian, et al.
Published: (2023)
by: Donner, Christian, et al.
Published: (2023)
Inference on covariance structure in high-dimensional multi-view data
by: Mauri, Lorenzo, et al.
Published: (2025)
by: Mauri, Lorenzo, et al.
Published: (2025)
An integrated perspective of robustness in regression through the lens of the bias-variance trade-off
by: Okuno, Akifumi
Published: (2024)
by: Okuno, Akifumi
Published: (2024)
A new machine learning framework for occupational accidents forecasting with safety inspections integration
by: Yapi, Aho, et al.
Published: (2025)
by: Yapi, Aho, et al.
Published: (2025)
MOCA: A Transformer-based Modular Causal Inference Framework with One-way Cross-attention and Cutting Feedback
by: Wang, Lei, et al.
Published: (2026)
by: Wang, Lei, et al.
Published: (2026)
A comparison between geostatistical and machine learning models for spatio-temporal prediction of PM2.5 data
by: Mohamed, Zeinab, et al.
Published: (2025)
by: Mohamed, Zeinab, et al.
Published: (2025)
An adaptive standardisation methodology for Day-Ahead electricity price forecasting
by: Sebastián, Carlos, et al.
Published: (2023)
by: Sebastián, Carlos, et al.
Published: (2023)
Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal Inference
by: Sebastián, Carlos, et al.
Published: (2024)
by: Sebastián, Carlos, et al.
Published: (2024)
Augmented transfer regression learning for completely missing covariates
by: Zhao, Huali, et al.
Published: (2026)
by: Zhao, Huali, et al.
Published: (2026)
Improving the stability of the covariance-controlled adaptive Langevin thermostat for large-scale Bayesian sampling
by: Wei, Jiani, et al.
Published: (2025)
by: Wei, Jiani, et al.
Published: (2025)
A statistical perspective on transformers for small longitudinal cohort data
by: Farhadyar, Kiana, et al.
Published: (2026)
by: Farhadyar, Kiana, et al.
Published: (2026)
The Bayesian Context Trees State Space Model for time series modelling and forecasting
by: Papageorgiou, Ioannis, et al.
Published: (2023)
by: Papageorgiou, Ioannis, et al.
Published: (2023)
Modeling Spatio-temporal Extremes via Conditional Variational Autoencoders
by: Ma, Xiaoyu, et al.
Published: (2025)
by: Ma, Xiaoyu, et al.
Published: (2025)
Bayesian Spatial Predictive Synthesis
by: Cabel, Danielle, et al.
Published: (2022)
by: Cabel, Danielle, et al.
Published: (2022)
Robust non-parametric mortality and fertility modelling and forecasting: Gaussian process regression approaches
by: Lam, Ka Kin, et al.
Published: (2021)
by: Lam, Ka Kin, et al.
Published: (2021)
Multipopulation mortality modelling and forecasting: The multivariate functional principal component with time weightings approaches
by: Lam, Ka Kin, et al.
Published: (2021)
by: Lam, Ka Kin, et al.
Published: (2021)
Powerful rank verification for multivariate Gaussian data with any covariance structure
by: Sood, Anav
Published: (2025)
by: Sood, Anav
Published: (2025)
SpaCE: The Spatial Confounding Environment
by: Tec, Mauricio, et al.
Published: (2023)
by: Tec, Mauricio, et al.
Published: (2023)
Spatial Transfer Learning with Simple MLP
by: Yang, Hongjian
Published: (2024)
by: Yang, Hongjian
Published: (2024)
Neural Conditional Simulation for Complex Spatial Processes
by: Walchessen, Julia, et al.
Published: (2025)
by: Walchessen, Julia, et al.
Published: (2025)
Spatial Covariance Constraints for Gaussian Mixture Models
by: Lu, Hanzhang, et al.
Published: (2026)
by: Lu, Hanzhang, et al.
Published: (2026)
Consistent Validation for Predictive Methods in Spatial Settings
by: Burt, David R., et al.
Published: (2024)
by: Burt, David R., et al.
Published: (2024)
When accurate prediction models yield harmful self-fulfilling prophecies
by: van Amsterdam, Wouter A. C., et al.
Published: (2023)
by: van Amsterdam, Wouter A. C., et al.
Published: (2023)
Mixture-of-experts Wishart model for covariance matrices with an application to Cancer drug screening
by: Mai, The Tien, et al.
Published: (2026)
by: Mai, The Tien, et al.
Published: (2026)
Similar Items
-
Spatio-temporal modeling and forecasting with Fourier neural operators
by: Nag, Pratik, et al.
Published: (2026) -
An intuitive rearranging of the Yates covariance decomposition for probabilistic verification of forecasts with the Brier score
by: Vieira, Bruno Hebling
Published: (2026) -
Connecting reflective asymmetries in multivariate spatial and spatio-temporal covariances
by: Yarger, Drew
Published: (2026) -
Statistical ranking with dynamic covariates
by: Dong, Pinjun, et al.
Published: (2024) -
Nonparametric regression of spatio-temporal data using infinite-dimensional covariates
by: Roy, Subhrajyoty, et al.
Published: (2026)