Raphaël Barboni

Understanding the training of infinitely deep and wide ResNets with conditional optimal transport

2025 · Communications on Pure and Applied Mathematics

Abstract We study the convergence of gradient flow for the training of deep neural networks. While residual neural networks (ResNet) are a popular example of very deep architectures, their training constitutes a challenging optimization problem, …