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Matteo Fasiolo

2 accepted papers

2025

SoftCVI: Contrastive variational inference with self-generated soft labels

ICLR 2025spotlight

Estimating a distribution given access to its unnormalized density is pivotal in Bayesian inference, where the posterior is generally known only up to an unknown normalizing constant. Variational inference and Markov chain Monte Carlo methods are the predominant tools for this task; however, both ar…

Cited by 0SourcePDFScholar
2022

Robust Neural Posterior Estimation and Statistical Model Criticism

NeurIPS 2022accept

Computer simulations have proven a valuable tool for understanding complex phenomena across the sciences. However, the utility of simulators for modelling and forecasting purposes is often restricted by low data quality, as well as practical limits to model fidelity. In order to circumvent these dif…

Cited by 44SourcePDFScholar