KAN/H: Kolmogorov-Arnold Network using Haar-like bases

Susumu Katayama
11/13/2025
cs.LG

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Abstract

This paper proposes KAN/H, a variant of Kolmogorov-Arnold Network (KAN) that uses a Haar-variant basis system having both global and local bases instead of B-spline. The resulting algorithm is applied to function approximation problems and MNIST. We show that it does not require most of the problem-specific hyper-parameter tunings.

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Cite this paper

@article{katayama2025kanh,
  title  = {KAN/H: Kolmogorov-Arnold Network using Haar-like bases},
  author = {Susumu Katayama},
  year   = {2025},
  eprint = {2511.11736},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2511.11736v1}
}

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