ResNets of All Shapes and Sizes: Convergence of Training Dynamics in the Large-scale Limit

Documenti analoghi

• The Hidden Width of Deep ResNets: Tight Error Bounds and Phase Diagram
  di: Chizat, Lénaïc
  Pubblicazione: (2025)
• Deep linear networks for regression are implicitly regularized towards flat minima
  di: Marion, Pierre, et al.
  Pubblicazione: (2024)
• Annealed Sinkhorn for Optimal Transport: convergence, regularization path and debiasing
  di: Chizat, Lénaïc
  Pubblicazione: (2024)
• The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks
  di: Chizat, Lénaïc, et al.
  Pubblicazione: (2023)
• Approximating Langevin Monte Carlo with ResNet-like Neural Network architectures
  di: Miranda, Charles, et al.
  Pubblicazione: (2023)