A Deep Learning Method for Comparing Bayesian Hierarchical Models. - Lasse Elsemüller; Martin Schnuerch; Paul-Christian Bürkner; Stefan T. Radev (CoRR, 2023)

BayesFlow: Amortized Bayesian Workflows With Neural Networks. - Stefan T. Radev; Marvin Schmitt; Lukas Schumacher; Lasse Elsemüller; Valentin Pratz; Yannik Schälte; Ullrich Köthe; Paul-Christian Bürkner (J. Open Source Softw., 2023)

Sensitivity-Aware Amortized Bayesian Inference. - Lasse Elsemüller; Hans Olischläger; Marvin Schmitt; Paul-Christian Bürkner; Ullrich Köthe; Stefan T. Radev (Trans. Mach. Learn. Res., 2024)

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation. - Lasse Elsemüller; Valentin Pratz; Mischa von Krause; Andreas Voss; Paul-Christian Bürkner; Stefan T. Radev (CoRR, 2025)