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KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for
  Learning Dynamical Systems and Hidden Physics

KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamical Systems and Hidden Physics

5 July 2024
Benjamin C. Koenig
Suyong Kim
Sili Deng
ArXivPDFHTML

Papers citing "KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamical Systems and Hidden Physics"

5 / 5 papers shown
Title
iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network
iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network
Ziran Liang
Rui An
Wenqi Fan
Yanghui Rao
Yuxuan Liang
AI4TS
35
0
0
23 Apr 2025
Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis
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
37
0
0
02 Mar 2025
Deep Learning Alternatives of the Kolmogorov Superposition Theorem
Deep Learning Alternatives of the Kolmogorov Superposition Theorem
Leonardo Ferreira Guilhoto
P. Perdikaris
38
7
0
02 Oct 2024
Kolmogorov-Arnold Networks are Radial Basis Function Networks
Kolmogorov-Arnold Networks are Radial Basis Function Networks
Ziyao Li
43
67
0
10 May 2024
Physics-informed neural networks with hard constraints for inverse
  design
Physics-informed neural networks with hard constraints for inverse design
Lu Lu
R. Pestourie
Wenjie Yao
Zhicheng Wang
F. Verdugo
Steven G. Johnson
PINN
39
365
0
09 Feb 2021
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