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

5 July 2024

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

8 / 8 papers shown

Title
SPIN-ODE: Stiff Physics-Informed Neural ODE for Chemical Reaction Rate Estimation Wenqing Peng Zhi-Song Liu Michael Boy 29 0 0 08 May 2025
iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network Ziran Liang Rui An Wenqi Fan Yanghui Rao Yuxuan Liang AI4TS 50 0 0 23 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 43 0 0 02 Mar 2025
MatrixKAN: Parallelized Kolmogorov-Arnold Network Cale Coffman Lizhong Chen 85 0 0 11 Feb 2025
Variational formulation based on duality to solve partial differential equations: Use of B-splines and machine learning approximants N. Sukumar Amit Acharya 81 2 0 02 Dec 2024
Deep Learning Alternatives of the Kolmogorov Superposition Theorem Leonardo Ferreira Guilhoto P. Perdikaris 44 7 0 02 Oct 2024
Kolmogorov-Arnold Networks are Radial Basis Function Networks Ziyao Li 54 68 0 10 May 2024
Physics-informed neural networks with hard constraints for inverse design Lu Lu R. Pestourie Wenjie Yao Zhicheng Wang F. Verdugo Steven G. Johnson PINN 39 494 0 09 Feb 2021