Reconstructing Attractors with Autoencoders
Fuente:
arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Acceso en línea: | |
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| _version_ | 1866911853893910528 |
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| author | Fainstein, Facundo Mindlin, Gabriel B. Groisman, Pablo |
| author_facet | Fainstein, Facundo Mindlin, Gabriel B. Groisman, Pablo |
| contents | We show how to train an autoencoder to reconstruct an attractor from recorded footage, preserving the topology of the underlying phase space. This is explicitly demonstrated for the classic finite-amplitude Lorenz atmospheric convection problem. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_16855 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Reconstructing Attractors with Autoencoders Fainstein, Facundo Mindlin, Gabriel B. Groisman, Pablo Adaptation and Self-Organizing Systems Data Analysis, Statistics and Probability We show how to train an autoencoder to reconstruct an attractor from recorded footage, preserving the topology of the underlying phase space. This is explicitly demonstrated for the classic finite-amplitude Lorenz atmospheric convection problem. |
| title | Reconstructing Attractors with Autoencoders |
| topic | Adaptation and Self-Organizing Systems Data Analysis, Statistics and Probability |
| url | https://arxiv.org/abs/2404.16855 |