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#machine learning Preprint Sep 2026

Transformation Laws in Neural Representations: Structure, Realisability, and Construction

How neural representations preserve the structure of input changes connects representation analysis with internal intervention. We study operable representational content through compatible actions of reference transformations on neural features. We characterise when a transformation descends through an encoder, and gi...

Yuan Sun · 0 citations

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