Tech

Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis

By Bamdad Hosseini, Alexander Hsu, Yasamin Jalalian, Juan Felip · arXiv cs.LG

cs.LGcs.NAmath.NAstat.ML

arXiv:2503.01036v3 Announce Type: replace-cross Abstract: We introduce a novel kernel-based framework for learning differential equations and their solution maps. The framework is efficient in its data requirements in terms of…

Published: November 4, 2026 (17 h ago)
Outlet: arXiv cs.LG
Section: Tech
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