arXiv stat.ML
· Papers
Lipschitz Continuity in Deep Learning: A Systematic Review of Theoretical Foundations, Estimation Methods, Regularization Approaches, and Certifiable Robustness
arXiv:2607.16329v2 Announce Type: replace Abstract: Lipschitz continuity is a fundamental property of neural networks that characterizes their sensitivity to input perturbations. It plays a pivotal role in deep learning, governing textbf{robustness}, textbf{generalization} and textbf{optimization dynamics}. Despite