Cover Image

Kriging and Gaussian Process Interpolation for Georeferenced Data Augmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ferber, Frédérick Fabre, Gay, Dominique, Soulié, Jean-Christophe, Diatta, Jean, Maillard, Odalric-Ambrym
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Interpolation pour l'augmentation de donnees : Application à la gestion des adventices de la canne a sucre a la Reunion
by: Ferber, Frederick Fabre, et al.
Published: (2025)

How to Shrink Confidence Sets for Many Equivalent Discrete Distributions?
by: Maillard, Odalric-Ambrym, et al.
Published: (2024)

Power Mean Estimation in Stochastic Monte-Carlo Tree_Search
by: Dam, Tuan, et al.
Published: (2024)

The regret lower bound for communicating Markov Decision Processes
by: Boone, Victor, et al.
Published: (2025)

Provably Efficient Exploration in Reward Machines with Low Regret
by: Bourel, Hippolyte, et al.
Published: (2024)

Leveraging priors on distribution functions for multi-arm bandits
by: Vashishtha, Sumit, et al.
Published: (2025)

How Hard is it to Confuse a World Model?
by: Radji, Waris, et al.
Published: (2025)

The Confusing Instance Principle for Online Linear Quadratic Control
by: Radji, Waris, et al.
Published: (2025)

A Continual Offline Reinforcement Learning Benchmark for Navigation Tasks
by: Kobanda, Anthony, et al.
Published: (2025)

Asymptotically Optimal Problem-Dependent Bandit Policies for Transfer Learning
by: Prevost, Adrien, et al.
Published: (2025)

Pliable rejection sampling
by: Erraqabi, Akram, et al.
Published: (2026)

Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning
by: Kobanda, Anthony, et al.
Published: (2024)

Offline Goal-Conditioned Reinforcement Learning with Projective Quasimetric Planning
by: Kobanda, Anthony, et al.
Published: (2025)

Precision Tracked Transformer via Kalman Filtering, Kriging and Process Noise
by: Long, Bo, et al.
Published: (2026)

Uniform Inductive Spatio-Temporal Kriging
by: Xie, Lewei, et al.
Published: (2026)

Toward accessible comics for blind and low vision readers
by: Rigaud, Christophe, et al.
Published: (2024)

Interpolation in Knowledge Representation
by: Jung, Jean Christoph, et al.
Published: (2025)

Georeferencing complex relative locality descriptions with large language models
by: Fernando, Aneesha, et al.
Published: (2025)

GEM-RAG: Graphical Eigen Memories For Retrieval Augmented Generation
by: Rappazzo, Brendan Hogan, et al.
Published: (2024)

InqEduAgent: Adaptive AI Learning Partners with Gaussian Process Augmentation
by: Yang, Wen-Xi, et al.
Published: (2025)

KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy
by: Xu, Qianxiong, et al.
Published: (2023)

Who's the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration
by: Halevy, Karina, et al.
Published: (2024)

STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approach
by: Li, Yujie, et al.
Published: (2025)

EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost
by: Heo, Jaeseung, et al.
Published: (2023)

Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning
by: Li, Zhishuai, et al.
Published: (2024)

An Explainable Gaussian Process Auto-encoder for Tabular Data
by: Zhang, Wei, et al.
Published: (2025)

Enhancing Mean-Reverting Time Series Prediction with Gaussian Processes: Functional and Augmented Data Structures in Financial Forecasting
by: Tondapu, Narayan
Published: (2024)

Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling
by: Ghosh, Subhankar, et al.
Published: (2024)

Physics-Guided Inductive Spatiotemporal Kriging for PM2.5 with Satellite Gradient Constraints
by: Wang, Shuo, et al.
Published: (2025)

Real-time Ship Recognition and Georeferencing for the Improvement of Maritime Situational Awareness
by: Perez, Borja Carrillo
Published: (2024)

Language modelling techniques for analysing the impact of human genetic variation
by: Hegde, Megha, et al.
Published: (2025)

Stability Bounds for the Unfolded Forward-Backward Algorithm
by: Chouzenoux, Emilie, et al.
Published: (2024)

Interpolating Speaker Identities in Embedding Space for Data Expansion
by: Liu, Tianchi, et al.
Published: (2025)

Understanding Data Temporality Impact on Large Language Models Pre-training
by: Pilchen, Hippolyte, et al.
Published: (2026)

More Than "Means to an End": Supporting Reasoning with Transparently Designed AI Data Science Processes
by: Sivaraman, Venkatesh, et al.
Published: (2026)

Towards Privacy-Aware Sign Language Translation at Scale
by: Rust, Phillip, et al.
Published: (2024)

Robust Prior-Guided Segmentation for Editable 3D Gaussian Splatting
by: Joshi, Raushan, et al.
Published: (2026)

AI Data Readiness Inspector (AIDRIN) for Quantitative Assessment of Data Readiness for AI
by: Hiniduma, Kaveen, et al.
Published: (2024)

Matching Game Preferences Through Dialogical Large Language Models: A Perspective
by: Fabre, Renaud, et al.
Published: (2025)

A Hybrid Framework for Spatial Interpolation: Merging Data-driven with Domain Knowledge
by: Zhang, Cong, et al.
Published: (2024)