Simulation-based inference with deep ensembles: evaluating calibration uncertainty and detecting model misspecification

Simulation-based inference (SBI) offers a principled and flexible framework for conducting Bayesian inference in any situation where forward simulations are feasible. However, validating the accuracy and reliability of the inferred posteriors remains a persistent challenge. In this work, we point ou...

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Detalhes bibliográficos

Principais autores:	James Alvey, Carlo R Contaldi, Mauro Pieroni
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IOP Publishing 2026-01-01
coleção:	Machine Learning: Science and Technology
Assuntos:	simulation-based inference uncertainty quantification deep ensembles model diagnostics Bayesian inference model misspecification
Acesso em linha:	https://doi.org/10.1088/2632-2153/ae3103
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