Scaling Properties of Deep Residual Networks

Scaling Properties of Deep Residual Networks

25 May 2021

Papers citing "Scaling Properties of Deep Residual Networks"

12 / 12 papers shown

Title
Convergence analysis of controlled particle systems arising in deep learning: from finite to infinite sample size Huafu Liao Alpár R. Mészáros Chenchen Mou Chao Zhou 26 2 0 08 Apr 2024
Implicit regularization of deep residual networks towards neural ODEs P. Marion Yu-Han Wu Michael E. Sander Gérard Biau 34 14 0 03 Sep 2023
Generalization bounds for neural ordinary differential equations and deep residual networks P. Marion 30 18 0 11 May 2023
Classification of integers based on residue classes via modern deep learning algorithms Dangwei Wu Jing Yang Mian Umair Ahsan Kai Wang 36 1 0 03 Apr 2023
Neural signature kernels as infinite-width-depth-limits of controlled ResNets Nicola Muca Cirone M. Lemercier C. Salvi 16 23 0 30 Mar 2023
Asymptotic Analysis of Deep Residual Networks R. Cont Alain Rossier Renyuan Xu 24 4 0 15 Dec 2022
Scaling ResNets in the Large-depth Regime P. Marion Adeline Fermanian Gérard Biau Jean-Philippe Vert 26 16 0 14 Jun 2022
Do Residual Neural Networks discretize Neural Ordinary Differential Equations? Michael E. Sander Pierre Ablin Gabriel Peyré 32 25 0 29 May 2022
Convergence and Implicit Regularization Properties of Gradient Descent for Deep Residual Networks R. Cont Alain Rossier Renyuan Xu MLT 18 6 0 14 Apr 2022
Stability of Deep Neural Networks via discrete rough paths Christian Bayer P. Friz Nikolas Tapia 22 8 0 19 Jan 2022
Deep Stable neural networks: large-width asymptotics and convergence rates Stefano Favaro S. Fortini Stefano Peluchetti BDL 28 14 0 02 Aug 2021
Do ideas have shape? Idea registration as the continuous limit of artificial neural networks H. Owhadi 77 14 0 10 Aug 2020