kaplan-meier-estimator-fe3aae1a·1 events·first seen Aliases: Kaplan-Meier estimator
The paper proposes SDPM, a generative model using denoising diffusion to estimate continuous-time survival (time-to-event) distributions without parametric hazard assumptions or time discretization. It is evaluated on ten real datasets against tree-based, boosting, and neural baselines, showing competitive C-index, AUC, and Brier score performance.