Differential Informed Auto-Encoder
Fuente:
arXiv
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| Autore principale: | |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866912084254523392 |
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| author | Zhang, Jinrui |
| author_facet | Zhang, Jinrui |
| contents | In this article, an encoder was trained to obtain the inner structure of the original data by obtain a differential equations. A decoder was trained to resample the original data domain, to generate new data that obey the differential structure of the original data using the physics-informed neural network. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_18593 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Differential Informed Auto-Encoder Zhang, Jinrui Machine Learning In this article, an encoder was trained to obtain the inner structure of the original data by obtain a differential equations. A decoder was trained to resample the original data domain, to generate new data that obey the differential structure of the original data using the physics-informed neural network. |
| title | Differential Informed Auto-Encoder |
| topic | Machine Learning |
| url | https://arxiv.org/abs/2410.18593 |