ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2102.10307
  4. Cited By
Large-width functional asymptotics for deep Gaussian neural networks

Large-width functional asymptotics for deep Gaussian neural networks

20 February 2021
Daniele Bracale
Stefano Favaro
S. Fortini
Stefano Peluchetti
ArXivPDFHTML

Papers citing "Large-width functional asymptotics for deep Gaussian neural networks"

7 / 7 papers shown
Title
Function-Space MCMC for Bayesian Wide Neural Networks
Function-Space MCMC for Bayesian Wide Neural Networks
Lucia Pezzetti
Stefano Favaro
Stefano Peluchetti
BDL
234
0
0
26 Aug 2024
Quantitative CLTs in Deep Neural Networks
Quantitative CLTs in Deep Neural Networks
Stefano Favaro
Boris Hanin
Domenico Marinucci
I. Nourdin
G. Peccati
BDL
43
12
0
12 Jul 2023
Non-asymptotic approximations of Gaussian neural networks via
  second-order Poincaré inequalities
Non-asymptotic approximations of Gaussian neural networks via second-order Poincaré inequalities
Alberto Bordino
Stefano Favaro
S. Fortini
28
7
0
08 Apr 2023
Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning
Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning
François Caron
Fadhel Ayed
Paul Jung
Hoileong Lee
Juho Lee
Hongseok Yang
67
2
0
02 Feb 2023
Large-width asymptotics for ReLU neural networks with $α$-Stable
  initializations
Large-width asymptotics for ReLU neural networks with ααα-Stable initializations
Stefano Favaro
S. Fortini
Stefano Peluchetti
28
2
0
16 Jun 2022
Deep neural networks with dependent weights: Gaussian Process mixture
  limit, heavy tails, sparsity and compressibility
Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility
Hoileong Lee
Fadhel Ayed
Paul Jung
Juho Lee
Hongseok Yang
François Caron
51
10
0
17 May 2022
Convergence of neural networks to Gaussian mixture distribution
Convergence of neural networks to Gaussian mixture distribution
Yasuhiko Asao
Ryotaro Sakamoto
S. Takagi
BDL
37
2
0
26 Apr 2022
1