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News/Kolmogorov-Arnold Fourier Networks
arxiv
PublishedMay 26, 2026 at 4:00 AM
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Kolmogorov-Arnold Fourier Networks

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Publisher summary· verbatim

arXiv:2502.06018v3 Announce Type: replace-cross Abstract: Although Kolmogorov-Arnold-based interpretable networks (KANs) possess strong theoretical expressiveness, they suffer from severe parameter explosion and limited ability to capture high-frequency features in high-dimensional tasks. To address

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Mentioned models
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  • 01
    Kolmogorov-Arnold Fourier Network (KAF)
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arxiv
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#machine-learning#neural-networks#spectral-reparameterization#efficiency

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Mentioned models
01
  • 01
    Kolmogorov-Arnold Fourier Network (KAF)
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#machine-learning#neural-networks#spectral-reparameterization#efficiency

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