May 14, 2024, 4:41 a.m. | Ziyao Li

cs.LG updates on arXiv.org arxiv.org

arXiv:2405.06721v1 Announce Type: new
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.

abstract arxiv concept cs.ai cs.lg faster function functions implementation kan leads network networks paper proof-of-concept type

Senior Machine Learning Engineer

@ GPTZero | Toronto, Canada

ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

@ HelloBetter | Remote

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

Seeking Developers and Engineers for AI T-Shirt Generator Project

@ Chevon Hicks | Remote

Principal Autonomy Applications

@ BHP | Chile

Quant Analytics Associate - Data Visualization

@ JPMorgan Chase & Co. | Bengaluru, Karnataka, India