#machine learning
May 2026
Mixed neural posterior estimation for simulators with discrete and continuous parameters
The inference network factorizes the joint posterior into discrete and continuous components, combining an autoregressive classifier for the discrete parameters with a generative model for the continuous parameters, trained jointly under a single simulation-based objective.
Jan Boelts, Cornelius Schröder, Jonas Beck et al.
· arXiv.org · 0 citations