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Learning non-stationary Langevin dynamics from stochastic observations of latent trajectories
Many complex systems operating far from the equilibrium exhibit stochastic dynamics that can be described by a Langevin equation. Inferring Langevin equations from data can reveal how transient dynamics of such systems give rise to their function. However, dynamics are often inaccessible directly an...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8514604/ https://www.ncbi.nlm.nih.gov/pubmed/34645828 http://dx.doi.org/10.1038/s41467-021-26202-1 |