%0 Computer Program
%A Rubin, Noa
%A Fischer, Kirsten
%A Lindner, Javed
%A Dahmen, David
%A Seroussi, Inbar
%A Ringel, Zohar
%A Krämer, Michael
%A Helias, Moritz
%T From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning
%M FZJ-2026-01326
%D 2025
%X Code for From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning This repository contains the code accompanying the paper: Rubin, N., Fischer, K., Lindner, J., Dahmen, D., Seroussi, I., Ringel, Z., Krämer, M., Helias, M. From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning (arxiv 2502.03210). For any questions, please contact Noa Rubin (noa.rubin@mail.huji.ac.il), Kirsten Fischer (ki.fischer@fz-juelich.de) or Javed Lindner (javed.lindner@rwth-aachen.de).
%K feature learning (Other)
%K kernel adaptation (Other)
%K Bayesian inference (Other)
%K field theory (Other)
%K deep neural networks (Other)
%K kernel rescaling (Other)
%F PUB:(DE-HGF)33
%9 Software
%R 10.5281/ZENODO.15480898
%U https://juser.fz-juelich.de/record/1052976