most citedKernel Neural Operators (KNOs) for Scalable, Memory-efficient, Geometrically-flexible Operator Learning

6 citations · 6 across the 3 of their papers we have counts for

collaborators
Showing math.NAShow all

2 papers · 1 filter

math.NA2026

A high-order, meshless, Lagrangian--Eulerian RBF-FD method for advection--diffusion--reaction on moving manifolds

Matthew Lowery, Grady B. Wright, Varun Shankar

We present a high-order radial basis function-generated finite difference (RBF-FD) method for partial differential equations on moving manifolds o…

math.NA2025

An Optimal Weighted Least-Squares Method for Operator Learning

John Turnage, Matthew Lowery, John Jakeman +3

We consider the problem of learning an unknown, possibly nonlinear operator between separable Hilbert spaces from supervised data. Inputs are drawn from a prescribed probability me…