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. 2302.05933
  4. Cited By
Generalization Ability of Wide Neural Networks on $\mathbb{R}$

Generalization Ability of Wide Neural Networks on R\mathbb{R}R

12 February 2023
Jianfa Lai
Manyun Xu
Rui Chen
Qi-Rong Lin
ArXivPDFHTML

Papers citing "Generalization Ability of Wide Neural Networks on $\mathbb{R}$"

5 / 5 papers shown
Title
On the Impacts of the Random Initialization in the Neural Tangent Kernel
  Theory
On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory
Guhan Chen
Yicheng Li
Qian Lin
AAML
38
1
0
08 Oct 2024
On the Eigenvalue Decay Rates of a Class of Neural-Network Related
  Kernel Functions Defined on General Domains
On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on General Domains
Yicheng Li
Zixiong Yu
Y. Cotronis
Qian Lin
55
13
0
04 May 2023
Stability and Generalization Analysis of Gradient Methods for Shallow
  Neural Networks
Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks
Yunwen Lei
Rong Jin
Yiming Ying
MLT
37
18
0
19 Sep 2022
Non-asymptotic approximations of neural networks by Gaussian processes
Non-asymptotic approximations of neural networks by Gaussian processes
Ronen Eldan
Dan Mikulincer
T. Schramm
33
24
0
17 Feb 2021
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural
  Networks
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
Blake Bordelon
Abdulkadir Canatar
C. Pehlevan
139
201
0
07 Feb 2020
1