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Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization
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Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization

Mariia Seleznova
Gitta Kutyniok
ArXiv (abs)PDFHTML

Papers citing "Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization"

5 / 5 papers shown
Title
Neural Tangent Kernel Analysis to Probe Convergence in Physics-informed Neural Solvers: PIKANs vs. PINNs
Neural Tangent Kernel Analysis to Probe Convergence in Physics-informed Neural Solvers: PIKANs vs. PINNs
Salah A Faroughi
Farinaz Mostajeran
19
0
0
09 Jun 2025
Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension
Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension
Moritz Haas
David Holzmüller
U. V. Luxburg
Ingo Steinwart
MLT
121
14
0
23 May 2023
Approximation results for Gradient Descent trained Shallow Neural Networks in $1d$
Approximation results for Gradient Descent trained Shallow Neural Networks in 1d1d
R. Gentile
G. Welper
ODL
112
7
0
17 Sep 2022
Diverse Weight Averaging for Out-of-Distribution Generalization
Diverse Weight Averaging for Out-of-Distribution Generalization
Alexandre Ramé
Matthieu Kirchmeyer
Thibaud Rahier
A. Rakotomamonjy
Patrick Gallinari
Matthieu Cord
OOD
266
138
0
19 May 2022
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach
Ryo Karakida
S. Akaho
S. Amari
FedML
240
146
0
04 Jun 2018

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