KANs need curvature: penalties for compositional smoothness
arXiv:2605.02190v1 Announce Type: cross
Abstract: Kolmogorov-Arnold networks (KANs) offer a potent combination of accuracy and interpretability, thanks to their compositions of learnable univariate activation functions. However, the activations of wel…