Hyeontae Jo

Learning from Imperfect Data: Robust Inference of Dynamic Systems Using Simulation-Based Generative Model

System inference for nonlinear dynamic models, represented by ordinary differential equations (ODEs), remains a significant challenge in many fields, particularly when the data are noisy, sparse, or partially observable. In this paper, we propose a Simulation-based Generative Model for Imperfect Dat