Deep learning methods for likelihood-free inference :approximating the posterior distribution with convolutional neural networks - Ulf K. Mertens (2019)

BayesFlow: Learning Complex Stochastic Models With Invertible Neural Networks. - Stefan T. Radev; Ulf K. Mertens; Andreas Voss; Lynton Ardizzone; Ullrich Köthe (IEEE Trans. Neural Networks Learn. Syst., 2022)

Amortized Bayesian Model Comparison With Evidential Deep Learning. - Stefan T. Radev; Marco D'Alessandro; Ulf K. Mertens; Andreas Voss; Ullrich Köthe; Paul-Christian Bürkner (IEEE Trans. Neural Networks Learn. Syst., 2023)