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Computer Science > Machine Learning

Title: Kolmogorov-Arnold Networks are Radial Basis Function Networks

Authors: Ziyao Li
Abstract: 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.
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
Cite as: arXiv:2405.06721 [cs.LG]
  (or arXiv:2405.06721v1 [cs.LG] for this version)

Submission history

From: Ziyao Li [view email]
[v1] Fri, 10 May 2024 06:03:45 GMT (92kb,D)

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