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Author

Daniel Persson

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#machine learning Mar 2026

The Geometry of Polynomial Group Convolutional Neural Networks

A new mathematical framework for PGCNNs using the language of graded group algebras is introduced, which yields two natural parameterizations of the architecture, based on Hadamard and Kronecker products, related by a linear map.

Yacoub Hendi, Daniel Persson, Magdalena Larfors · 3 citations

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