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

Sun, Yuan
arXiv (All) · Papers
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i-2-6i-4-10i-5-1machine-learningneural-and-evolutionary-computing
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 throug
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