Causal Diffusion Models for Counterfactual Outcome Distributions in Longitudinal Data
arXiv:2604.12992v1 Announce Type: new
Abstract: Predicting counterfactual outcomes in longitudinal data, where sequential treatment decisions heavily depend on evolving patient states, is critical yet notoriously challenging due to complex time-depend…