Kolmogorov-Arnold Networks are Radial Basis Function Networks
About
This short paper is a fast proof-of-concept that the 3-order B-splines used in Kolmogorov-Arnold Networks (KANs) can be well approximated by Gaussian radial basis functions. Doing so leads to FastKAN, a much faster implementation of KAN which is also a radial basis function (RBF) network.
Ziyao Li• 2024
Related benchmarks
| Task | Dataset | Result | Rank | |
|---|---|---|---|---|
| Physics-Informed PDE Solving | 2D Helmholtz (test) | Time (sec/iter)0.0228 | 14 | |
| Function Approximation | Function Approximation [np, 6, 1] | Time (sec/iter)0.0305 | 14 |
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