Addressing common misinterpretations of KART and UAT in neural network literature
<|reference_start|>Addressing common misinterpretations of KART and UAT in neural network literature: 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.<|reference_end|>
@article{ismailov2024addressing,
    title={Addressing common misinterpretations of KART and UAT in neural network
  literature},
    author={Vugar Ismailov},
    journal={arXiv preprint arXiv:2408.16389},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.16389},
    primaryClass={cs.LG cs.NE}
}