{"total":20,"rows":[{"id":"2305.04962","title":"Error Analysis of Kernel/GP Methods for Nonlinear and Parametric PDEs","created":"2023-05-08","cited_by_count":21,"area":null},{"id":"2309.10656","title":"A spectrum of physics-informed Gaussian processes for regression in engineering","created":"2023-09-19","cited_by_count":14,"area":null},{"id":"2311.04465","title":"Solving High Frequency and Multi-Scale PDEs with Gaussian Processes","created":"2023-11-08","cited_by_count":14,"area":null},{"id":"2310.05227","title":"Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology","created":"2023-10-08","cited_by_count":11,"area":null},{"id":"2301.11040","title":"Random Grid Neural Processes for Parametric Partial Differential Equations","created":"2023-01-26","cited_by_count":8,"area":null},{"id":"2409.13876","title":"Physics-Informed Variational State-Space Gaussian Processes","created":"2024-09-20","cited_by_count":7,"area":null},{"id":"2410.11165","title":"Toward Efficient Kernel-Based Solvers for Nonlinear PDEs","created":"2024-10-15","cited_by_count":7,"area":null},{"id":"2310.05387","title":"Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels","created":"2023-10-09","cited_by_count":5,"area":null},{"id":"2405.13149","title":"Gaussian Measures Conditioned on Nonlinear Observations: Consistency, MAP Estimators, and Simulation","created":"2024-05-21","cited_by_count":4,"area":null},{"id":"2510.25368","title":"Position: Biology is the Challenge Physics-Informed ML Needs to Evolve","created":"2025-10-29","cited_by_count":4,"area":null},{"id":"2605.21041","title":"Conditioning Gaussian Processes on Almost Anything","created":"2026-05-20","cited_by_count":4,"area":null},{"id":"2402.17036","title":"Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical Systems","created":"2024-02-26","cited_by_count":1,"area":null},{"id":"2501.18879","title":"Understanding Generalization in Physics Informed Models through Affine Variety Dimensions","created":"2025-01-31","cited_by_count":1,"area":null},{"id":"2507.22493","title":"LVM-GP: Uncertainty-Aware PDE Solver via coupling latent variable model and Gaussian process","created":"2025-07-30","cited_by_count":1,"area":null},{"id":"2510.13772","title":"Tensor Gaussian Processes: Efficient Solvers for Nonlinear PDEs","created":"2025-10-15","cited_by_count":1,"area":null},{"id":"2312.11318","title":"Domain Invariant Learning for Gaussian Processes and Bayesian Exploration","created":"2023-12-18","cited_by_count":0,"area":null},{"id":"2510.22068","title":"Deep Gaussian Processes for Functional Maps","created":"2025-10-24","cited_by_count":0,"area":null},{"id":"2601.05297","title":"Machine learning assisted state prediction of misspecified linear dynamical system via modal reduction","created":"2026-01-08","cited_by_count":0,"area":null},{"id":"2605.13088","title":"Bayesian Nonparametric Mixed-Effect ODEs with Gaussian Processes","created":"2026-05-13","cited_by_count":0,"area":null},{"id":"2608.14764","title":"Real-Time State-of-Health Estimation and Online Degradation Prognosis from Partial Battery Discharge Using Physics-Informed Neural Networks","created":"2026-08-14","cited_by_count":0,"area":null}],"next_cursor":null}