Software

FZJ-2026-01322

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Field theory for optimal signal propagation in ResNets

Fischer, K. (Corresponding author)FZJ* ; Dahmen, D.FZJ* ; Helias, M.FZJ*

2025

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Please use a persistent id in citations: doi:10.5281/ZENODO.17395886

Abstract: This repository contains the code accompanying the paper: Fischer, K., Dahmen, D., Helias, M. (2023). Field theory for optimal signal propagation in ResNets (arXiv:2305.07715). For any questions, please contact Kirsten Fischer (ki.fischer@fz-juelich.de).

Keyword(s): Field theory ; Residual networks ; Machine Learning

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Contributing Institute(s):

1. Computational and Systems Neuroscience (IAS-6)

Research Program(s):

1. 5231 - Neuroscientific Foundations (POF4-523) (POF4-523)
2. 5232 - Computational Principles (POF4-523) (POF4-523)
3. RenormalizedFlows - Transparent Deep Learning with Renormalized Flows (BMBF-01IS19077A) (BMBF-01IS19077A)
4. GRK 2416 - GRK 2416: MultiSenses-MultiScales: Neue Ansätze zur Aufklärung neuronaler multisensorischer Integration (368482240) (368482240)
5. ACA - Advanced Computing Architectures (SO-092) (SO-092)
6. Brain-Scale Simulations (jinb33_20220812) (jinb33_20220812)
7. DFG project G:(GEPRIS)491111487 - Open-Access-Publikationskosten / 2025 - 2027 / Forschungszentrum Jülich (OAPKFZJ) (491111487) (491111487)

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