Elliptic PDE learning is provably data-efficient

24 February 2023

Papers citing "Elliptic PDE learning is provably data-efficient"

13 / 13 papers shown

Title
Learning Dual-Arm Coordination for Grasping Large Flat Objects Yongliang Wang H. Kasaei 32 0 0 04 Apr 2025
Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis Yasamin Jalalian Juan Felipe Osorio Ramirez Alexander W. Hsu Bamdad Hosseini H. Owhadi 41 0 0 02 Mar 2025
Orthogonal greedy algorithm for linear operator learning with shallow neural network Ye Lin Jiwei Jia Young Ju Lee Ran Zhang 34 1 0 06 Jan 2025
Structure-Preserving Operator Learning Nacime Bouziani Nicolas Boullé 25 0 0 01 Oct 2024
Operator Learning Using Random Features: A Tool for Scientific Computing Nicholas H. Nelsen Andrew M. Stuart 37 12 0 12 Aug 2024
Limits and Powers of Koopman Learning Matthew J. Colbrook Igor Mezić Alexei Stepanenko 34 10 0 08 Jul 2024
PETScML: Second-order solvers for training regression problems in Scientific Machine Learning Stefano Zampini Umberto Zerbinati George Turkyyiah David E. Keyes 35 4 0 18 Mar 2024
An operator learning perspective on parameter-to-observable maps Daniel Zhengyu Huang Nicholas H. Nelsen Margaret Trautner 32 11 0 08 Feb 2024
Operator learning without the adjoint Nicolas Boullé Diana Halikias Samuel E. Otto Alex Townsend 26 4 0 31 Jan 2024
Operator learning for hyperbolic partial differential equations Christopher Wang Alex Townsend 34 2 0 29 Dec 2023
A Mathematical Guide to Operator Learning Nicolas Boullé Alex Townsend 29 36 0 22 Dec 2023
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 203 2,282 0 18 Oct 2020
Signal-plus-noise matrix models: eigenvector deviations and fluctuations Joshua Cape M. Tang Carey E. Priebe 26 48 0 01 Feb 2018