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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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
IOP Publishing
2025-01-01
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| Edice: | Machine Learning: Science and Technology |
| Témata: | |
| On-line přístup: | https://doi.org/10.1088/2632-2153/ade04d |
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