Joint parametric modeling of event and reporting hazards with right-censored delays yields consistent estimators via Monte Carlo EM and improves timely risk evaluation under administrative censoring via transfer learning.
Optimal transport conditional flow matching equals exact proximal operators via extended Brenier potentials without density assumptions, yields explicit vector fields, converges with batch size, and contracts exponentially normal to manifold-supported targets.