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20232026
most citedA Unified Filter Method for Jointly Estimating State and Parameters of Stochastic Dynamical Systems via the Ensemble Score Filter

2 citations · 9 across the 17 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

math.NA2026

Covariance-Informed Ensemble Score Filtering: Embedding Localized Covariance Geometry into Score-Based Transport

Siming Liang, Peter Jan van Leeuwen, Hristo G. Chipilski +3

Background-error covariance models are central to atmospheric data assimilation because they spread partial observational information across space, variables, and dynamically coupl…

math.NA2026

From Variational Optimization to Flow-Based Transport: Posterior-Geometry Regularization for Ill-Conditioned Data Assimilation

Siming Liang, Feng Bao, Hristo G. Chipilski +2

Variational data assimilation computes a Bayesian update through optimization on a fixed posterior geometry, whose conditioning is determined by the prior covariance and the observ…

math.OC2026

Data-Assimilation-Assisted Reinforcement Learning for Power Grid Control under Load Uncertainty

Ruoyu Hu, Feng Bao, Zezhong Zhang +2

Reliable power grid control requires sequential decisions under transmission constraints, time-varying demand, renewable variability, and imperfect load information. We investigate…

physics.ao-ph2026

A Two-Step Ensemble Score Filter for Data Assimilation in Partially Observed Systems

Zixiang Xiong, Feng Bao, Hristo G. Chipilski +3

Data assimilation blends model forecasts with observations to estimate the evolving state of complex dynamical systems, but sparse observing networks remain challenging because uno…

cs.LG2026

Diffusion Model-Based Data Assimilation for Real-World Energy Consumption Forecasting

Ruoyu Hu, Dahai Yu, Feng Bao +2

Accurate estimation and forecasting of energy consumption are important for power-system operation, planning, and demand-side management. In practice, however, complete and timely…

cs.LG2026

Global Attention with Linear Complexity for Exascale Generative Data Assimilation in Earth System Prediction

Xiao Wang, Zezhong Zhang, Isaac Lyngaas +10

Accurate Earth system prediction requires state inference from incomplete observations, but conventional two-stage data assimilation (DA) is computationally prohibitive because rep…