Machine learning for detection of equivariant finite symmetry groups in dynamical systems

In this work, we introduce the equivariance seeker model (ESM), a data-driven method for discovering the underlying finite equivariant symmetry group of an arbitrary function. ESM achieves this by optimizing a loss function that balances equivariance preservation with the penalization of redundant s...

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Bibliographic Details

Published in:	Machine Learning: Science and Technology
Main Authors:	Pablo Calvo-Barlés, Sergio G Rodrigo, Luis Martín-Moreno
Format:	Article
Language:	English
Published:	IOP Publishing 2025-01-01
Subjects:	symmetry detection machine learning dynamical systems equivariance
Online Access:	https://doi.org/10.1088/2632-2153/ade04d