Mlp, Neural Networks, Machine Learning, Artificial Intelligence, Universal Approximation.
substantial improvements in both accuracy and interpretability metrics. These findings substantiate KANs as compelling alternatives to MLPs, thereby presenting exciting avenues for enhancing contemporary deep learning models, which heavily rely on MLP architectures. The paper KAN: Kolmogorov-Arnold