On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels

17 March 2022

Papers citing "On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels"

10 / 10 papers shown

Title
Neural Tangent Kernel of Neural Networks with Loss Informed by Differential Operators Weiye Gan Yicheng Li Q. Lin Zuoqiang Shi 39 0 0 14 Mar 2025
Understanding the dynamics of the frequency bias in neural networks Juan Molina Mircea Petrache F. Sahli Costabal Matías Courdurier 27 1 0 23 May 2024
Towards Understanding Inductive Bias in Transformers: A View From Infinity Itay Lavie Guy Gur-Ari Z. Ringel 32 1 0 07 Feb 2024
Generalization in Kernel Regression Under Realistic Assumptions Daniel Barzilai Ohad Shamir 29 15 0 26 Dec 2023
Controlling the Inductive Bias of Wide Neural Networks by Modifying the Kernel's Spectrum Amnon Geifman Daniel Barzilai Ronen Basri Meirav Galun 26 5 0 26 Jul 2023
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models Guillermo Ortiz-Jiménez Alessandro Favero P. Frossard MoMe 42 106 0 22 May 2023
A Kernel Perspective of Skip Connections in Convolutional Networks Daniel Barzilai Amnon Geifman Meirav Galun Ronen Basri 17 11 0 27 Nov 2022
Characterizing the Spectrum of the NTK via a Power Series Expansion Michael Murray Hui Jin Benjamin Bowman Guido Montúfar 30 11 0 15 Nov 2022
What Can Be Learnt With Wide Convolutional Neural Networks? Francesco Cagnetta Alessandro Favero M. Wyart MLT 38 11 0 01 Aug 2022
Learning with invariances in random features and kernel models Song Mei Theodor Misiakiewicz Andrea Montanari OOD 46 89 0 25 Feb 2021