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Multiwavelet-based Operator Learning for Differential Equations

Multiwavelet-based Operator Learning for Differential Equations

28 September 2021
Gaurav Gupta
Xiongye Xiao
P. Bogdan
ArXivPDFHTML

Papers citing "Multiwavelet-based Operator Learning for Differential Equations"

5 / 5 papers shown
Title
Neural operators struggle to learn complex PDEs in pedestrian mobility: Hughes model case study
Neural operators struggle to learn complex PDEs in pedestrian mobility: Hughes model case study
Prajwal Chauhan
Salah Eddine Choutri
Mohamed Ghattassi
Nader Masmoudi
Saif Eddin Jabari
27
0
0
25 Apr 2025
A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problems
A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problems
Sumanth Kumar Boya
Deepak Subramani
AI4CE
71
0
0
12 Dec 2024
Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems
Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems
Da Long
Zhitong Xu
Qiwei Yuan
Yin Yang
Shandian Zhe
AI4CE
42
4
0
18 Feb 2024
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
171
1,745
0
18 Oct 2020
Symplectic Recurrent Neural Networks
Symplectic Recurrent Neural Networks
Zhengdao Chen
Jianyu Zhang
Martín Arjovsky
Léon Bottou
124
203
0
29 Sep 2019
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