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Emergence of Fibrations, Compression, and Symmetry Breaking in Artificial Neural Networks

This story is from 2026-09-03. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.01768v1 Announce Type: new Abstract: Artificial neural networks are often regarded as powerful yet opaque black boxes. Here, we demonstrate that learning in deep neural networks generates local symmetries known in graph theory as fibrations and coverings. We prove that covering symmetrie…

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  1. 2026-09-03 04:00 · arXiv cs.LG
    Emergence of Fibrations, Compression, and Symmetry Breaking in Artificial Neural Networks

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