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@MISC{Rubin:1052976,
author = {Rubin, Noa and Fischer, Kirsten and Lindner, Javed and
Dahmen, David and Seroussi, Inbar and Ringel, Zohar and
Krämer, Michael and Helias, Moritz},
title = {{F}rom {K}ernels to {F}eatures: {A} {M}ulti-{S}cale
{A}daptive {T}heory of {F}eature {L}earning},
reportid = {FZJ-2026-01326},
year = {2025},
abstract = {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).},
keywords = {feature learning (Other) / kernel adaptation (Other) /
Bayesian inference (Other) / field theory (Other) / deep
neural networks (Other) / kernel rescaling (Other)},
cin = {IAS-6},
cid = {I:(DE-Juel1)IAS-6-20130828},
pnm = {5231 - Neuroscientific Foundations (POF4-523) / 5232 -
Computational Principles (POF4-523) / GRK 2416 - GRK 2416:
MultiSenses-MultiScales: Neue Ansätze zur Aufklärung
neuronaler multisensorischer Integration (368482240)},
pid = {G:(DE-HGF)POF4-5231 / G:(DE-HGF)POF4-5232 /
G:(GEPRIS)368482240},
typ = {PUB:(DE-HGF)33},
doi = {10.5281/ZENODO.15480898},
url = {https://juser.fz-juelich.de/record/1052976},
}