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Latent variable model for high-dimensional point process with structured miss...
Longitudinal data are important in numerous fields, such as healthcare, sociology and seismology, but real-world datasets present notable challenges for practitioners because... -
IGNITE: Individualized GeNeration of Imputations in Time-series Electronic he...
A novel deep-learning model that learns the underlying patient dynamics over time across multivariate data to generate personalized realistic values conditioning on an...