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Kolmogorov-Arnold Networks evolve with automated basis learning and practitioner's guide

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced InfinityKAN, a novel framework that automates the selection of basis functions in Kolmogorov-Arnold Networks (KANs), a theoretically grounded alternative to traditional multi-layer perceptrons. This new approach models the number of basis functions as a latent variable, allowing it to be learned during training and eliminating the need for manual hyperparameter tuning. Experiments across a variety of datasets show that InfinityKAN achieves comparable or superior performance to existing KANs without this manual specification. AI

IMPACT Automates hyperparameter tuning for KANs, potentially simplifying their adoption and improving performance across diverse tasks.

RANK_REASON This cluster contains two arXiv papers detailing advancements and guides for Kolmogorov-Arnold Networks.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Kolmogorov-Arnold Networks evolve with automated basis learning and practitioner's guide

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This cluster contains two arXiv papers detailing advancements and guides for Kolmogorov-Arnold Networks.
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Francesco Alesiani, Henrik Christiansen, Federico Errica ·

    Variational Kolmogorov-Arnold Network

    arXiv:2507.02466v2 Announce Type: replace Abstract: Kolmogorov-Arnold Networks (KANs) offer a theoretically grounded alternative to multi-layer perceptrons by representing multivariate functions as compositions of univariate basis functions. However, a critical limitation of KANs…

  2. arXiv cs.LG TIER_1 English(EN) · Amir Noorizadegan, Sifan Wang, Leevan Ling, Juan P. Dominguez-Morales ·

    A Practitioner's Guide to Kolmogorov-Arnold Networks

    arXiv:2510.25781v5 Announce Type: replace Abstract: Kolmogorov-Arnold Networks (KANs), whose design is inspired-rather than dictated-by the Kolmogorov superposition theorem, have emerged as a structured alternative to MLPs. This review provides a systematic and comprehensive over…

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