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#machine learning Preprint Sep 2026

Phases in a class of associative memories via hidden neurons

This paper studies the bipartite architecture of Krotov and Hopfield, whose model is fixed by a Lagrangian for each layer, taking the hidden neurons as the order parameter of retrieval, and splits retrieval into two roles, the visible Lagrangian fixing stability and the hidden one the storage scale.

Toshihiro Ota, M. Taki · 0 citations

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