Global convergence of ResNets: From finite to infinite width using linear parameterization

10 December 2021

Papers citing "Global convergence of ResNets: From finite to infinite width using linear parameterization"

4 / 4 papers shown

Title
Understanding the training of infinitely deep and wide ResNets with Conditional Optimal Transport Raphael Barboni Gabriel Peyré Franccois-Xavier Vialard 32 3 0 19 Mar 2024
Do Residual Neural Networks discretize Neural Ordinary Differential Equations? Michael E. Sander Pierre Ablin Gabriel Peyré 29 25 0 29 May 2022
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network Mo Zhou Rong Ge Chi Jin 69 44 0 04 Feb 2021
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths Quynh N. Nguyen 33 49 0 24 Jan 2021