Conference Presentation (After Call)

FZJ-2024-03603

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Critical feature learning in deep neural networks

Fischer, K. (Corresponding author)FZJ* ; Lindner, J. (Corresponding author)FZJ* ; Dahmen, D.FZJ* ; Ringel, Z. ; Krämer, M. ; Helias, M.FZJ*

2024

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Contributing Institute(s):

1. Computational and Systems Neuroscience (IAS-6)

Research Program(s):

1. 5232 - Computational Principles (POF4-523) (POF4-523)
2. 5234 - Emerging NC Architectures (POF4-523) (POF4-523)
3. RenormalizedFlows - Transparent Deep Learning with Renormalized Flows (BMBF-01IS19077A) (BMBF-01IS19077A)
4. MSNN - Theory of multi-scale neuronal networks (HGF-SMHB-2014-2018) (HGF-SMHB-2014-2018)
5. ACA - Advanced Computing Architectures (SO-092) (SO-092)

Appears in the scientific report 2024

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