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Learning "best" kernels from data in Gaussian process regression. With application to aerodynamics

3 June 2022

Papers citing "Learning "best" kernels from data in Gaussian process regression. With application to aerodynamics"

3 / 3 papers shown

Title
Physics-informed, boundary-constrained Gaussian process regression for the reconstruction of fluid flow fields Adrian Padilla-Segarra P. Noble O. Roustant Éric Savin AI4CE 31 0 0 23 Jul 2025
Learning Dynamical Systems from Data: A Simple Cross-Validation Perspective, Part V: Sparse Kernel Flows for 132 Chaotic Dynamical Systems L. Yang Xiuwen Sun B. Hamzi H. Owhadi Nai-ming Xie 150 21 0 24 Jan 2023
Generalization Bounds on Multi-Kernel Learning with Mixed Datasets Lan V. Truong 98 2 0 15 May 2022