Addressing Common Misinterpretations of KART and UAT in Neural Network Literature

arXiv:2408.16389v1 Announce Type: new
Abstract: This note addresses the Kolmogorov-Arnold Representation Theorem (KART) and the Universal Approximation Theorem (UAT), focusing on their common misinterpretations in some papers related to neural network approximation. Our remarks aim to support a more accurate understanding of KART and UAT among neural network specialists.