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

v1v2 (latest)

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

International Conference on Machine Learning (ICML), 2022

1 February 2022

Mariia Seleznova

ArXiv (abs)PDF HTML

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

8 / 8 papers shown

Title
Depth-induced NTK: Bridging Over-parameterized Neural Networks and Deep Neural Kernels Yong-Ming Tian Shuang Liang Shao-Qun Zhang Feng-Lei Fan 0 0 0 05 Nov 2025
Finite-Width Neural Tangent Kernels from Feynman Diagrams Max Guillen Philipp Misof Jan E. Gerken 60 0 0 15 Aug 2025
Neural Tangent Kernel Analysis to Probe Convergence in Physics-informed Neural Solvers: PIKANs vs. PINNs Salah A Faroughi Farinaz Mostajeran 65 1 0 09 Jun 2025
Infinite Width Graph Neural Networks for Node Regression/ Classification Yunus Cobanoglu AI4CE 136 2 0 12 Oct 2023
Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimensionNeural Information Processing Systems (NeurIPS), 2023 Moritz Haas David Holzmüller U. V. Luxburg Ingo Steinwart MLT 219 22 0 23 May 2023
Approximation results for Gradient Descent trained Shallow Neural Networks in $1d$ R. Gentile G. Welper ODL 166 9 0 17 Sep 2022
Diverse Weight Averaging for Out-of-Distribution GeneralizationNeural Information Processing Systems (NeurIPS), 2022 Alexandre Ramé Matthieu Kirchmeyer Thibaud Rahier A. Rakotomamonjy Patrick Gallinari Matthieu Cord OOD 389 153 0 19 May 2022
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach Ryo Karakida S. Akaho S. Amari FedML 368 156 0 04 Jun 2018