{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/kan-kolmogorov-arnold-networks","title":"KAN: Kolmogorov-Arnold Networks","arxiv_id":"2404.19756","date":"2024-04-30","proceeding":null,"authors":["Ziming Liu","YiXuan Wang","Sachin Vaidya","Fabian Ruehle","James Halverson","Marin Soljačić","Thomas Y. Hou","Max Tegmark"],"abstract":"Inspired by the Kolmogorov-Arnold representation theorem, we propose Kolmogorov-Arnold Networks (KANs) as promising alternatives to Multi-Layer Perceptrons (MLPs). 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