TY  - COMP
AU  - Rubin, Noa
AU  - Fischer, Kirsten
AU  - Lindner, Javed
AU  - Dahmen, David
AU  - Seroussi, Inbar
AU  - Ringel, Zohar
AU  - Krämer, Michael
AU  - Helias, Moritz
TI  - From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning
M1  - FZJ-2026-01326
PY  - 2025
AB  - 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).
KW  - feature learning (Other)
KW  - kernel adaptation (Other)
KW  - Bayesian inference (Other)
KW  - field theory (Other)
KW  - deep neural networks (Other)
KW  - kernel rescaling (Other)
LB  - PUB:(DE-HGF)33
DO  - DOI:10.5281/ZENODO.15480898
UR  - https://juser.fz-juelich.de/record/1052976
ER  -