arXiv cs.LG
· Papers
1-Lipschitz Neural Networks on Hadamard Manifolds
arXiv:2607.19335v1 Announce Type: cross Abstract: Controlling the Lipschitz constant of a neural network is a standard way to promote robustness and stability. Most existing constraining strategies are designed for Euclidean spaces. In this work, we construct and analyze a class of 1-Lipschitz neural networks on Hadama