EIDGM uses a HyperPINN emulator and Wasserstein GAN to estimate ODE parameter distributions from repeated cross-sectional data, with synthetic validation on three systems and an amyloid beta application.
Bryman, Social research methods
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Estimation of System Parameters Including Repeated Cross-Sectional Data through Emulator-Informed Deep Generative Model
EIDGM uses a HyperPINN emulator and Wasserstein GAN to estimate ODE parameter distributions from repeated cross-sectional data, with synthetic validation on three systems and an amyloid beta application.