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

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

30 June 2024
Matthew Lowery
John Turnage
Zachary Morrow
J. Jakeman
Akil Narayan
Shandian Zhe
Varun Shankar
ArXivPDFHTML

Papers citing "Kernel Neural Operators (KNOs) for Scalable, Memory-efficient, Geometrically-flexible Operator Learning"

3 / 3 papers shown
Title
Fourier Neural Operator with Learned Deformations for PDEs on General
  Geometries
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries
Zong-Yi Li
Daniel Zhengyu Huang
Burigede Liu
Anima Anandkumar
AI4CE
122
255
0
11 Jul 2022
Accelerated Training of Physics-Informed Neural Networks (PINNs) using
  Meshless Discretizations
Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations
Ramansh Sharma
Varun Shankar
43
40
0
19 May 2022
Fourier Neural Operator for Parametric Partial Differential Equations
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
262
2,309
0
18 Oct 2020
1