"Binarized Neural Networks Converge Toward Algorithmic Simplicity: ..."

Eduardo Yuji Sakabe et al. (2025)

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DOI: 10.48550/ARXIV.2505.20646

access: open

type: Informal or Other Publication

metadata version: 2025-06-27

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  - https://dblp.org/rec/journals/corr/abs-2505-20646
Eduardo Yuji Sakabe, Felipe S. Abrahão, Alexandre da Silva Simões, Esther Colombini, Paula Dornhofer Paro Costa, Ricardo R. Gudwin, Hector Zenil:
Binarized Neural Networks Converge Toward Algorithmic Simplicity: Empirical Support for the Learning-as-Compression Hypothesis. CoRR abs/2505.20646 (2025)

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