4 citations · 5 across the 4 of their papers we have counts for
4 papers
Ensemble Controlled-Flow Filtering for Implicit Data Assimilation
Zhuoyuan Li, Yue Zhao, Ming Li
Data assimilation estimates the state of a dynamical system from model forecasts and incoming observations. Many observation mechanisms, however, are many-to-one, implicit, non-smo…
State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics
Zhuoyuan Li, Bin Dong, Pingwen Zhang
Data assimilation has become a key technique for combining physical models with observational data to estimate state variables. However, classical assimilation algorithms often str…
Latent assimilation with implicit neural representations for unknown dynamics
Zhuoyuan Li, Bin Dong, Pingwen Zhang
Data assimilation is crucial in a wide range of applications, but it often faces challenges such as high computational costs due to data dimensionality and incomplete understanding…
Learning to simulate partially known spatio-temporal dynamics with trainable difference operators
Xiang Huang, Zhuoyuan Li, Hongsheng Liu +4
Recently, using neural networks to simulate spatio-temporal dynamics has received a lot of attention. However, most existing methods adopt pure data-driven black-box models, which…