Local Kernel Renormalization as a mechanism for feature learning in overparametrized Convolutional Neural Networks

21 July 2023

Papers citing "Local Kernel Renormalization as a mechanism for feature learning in overparametrized Convolutional Neural Networks"

7 / 7 papers shown

Title
Deep Neural Nets as Hamiltonians Mike Winer Boris Hanin 49 0 0 31 Mar 2025
Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer Blake Bordelon C. Pehlevan AI4CE 59 1 0 04 Feb 2025
Bayesian RG Flow in Neural Network Field Theories Jessica N. Howard Marc S. Klinger Anindita Maiti A. G. Stapleton 60 1 0 27 May 2024
Restoring balance: principled under/oversampling of data for optimal classification Emanuele Loffredo Mauro Pastore Simona Cocco R. Monasson 29 9 0 15 May 2024
Data-driven emergence of convolutional structure in neural networks Alessandro Ingrosso Sebastian Goldt 48 38 0 01 Feb 2022
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks Blake Bordelon Abdulkadir Canatar C. Pehlevan 131 199 0 07 Feb 2020
Why bigger is not always better: on finite and infinite neural networks Laurence Aitchison 173 51 0 17 Oct 2019