Score-Based Generative Data Assimilation for Integrating Aggregated Surveillance Data into Agent-Based Models in Epidemic Tracking
A generative AI-based data-assimilation framework for partially observed epidemic ABMs that estimates both the epidemic state and a heterogeneous parameter field while respecting the gap between observable macrostates and latent agent-level microstates is developed.
Si-Ming Liang, Jacob Hauck, Ming-Lei Yang et al.
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