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Path sampling of recurrent neural networks by incorporating known physics
Recurrent neural networks have seen widespread use in modeling dynamical systems in varied domains such as weather prediction, text prediction and several others. Often one wishes to supplement the experimentally observed dynamics with prior knowledge or intuition about the system. While the recurre...
Autores principales: | Tsai, Sun-Ting, Fields, Eric, Xu, Yijia, Kuo, En-Jui, Tiwary, Pratyush |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9700810/ https://www.ncbi.nlm.nih.gov/pubmed/36433982 http://dx.doi.org/10.1038/s41467-022-34780-x |
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