Author name: Christian Kuehn, Sara-Viola Kuntz, Tobias W\"ohrer

arXiv:2603.28591v1 Announce Type: cross
Abstract: We analyze the universal approximation constraints of narrow Residual Neural Networks (ResNets) both theoretically and numerically. For deep neural networks without input space augmentation, a central …