| BayesFlow: Amortized Bayesian workflows with neural networks ST Radev, M Schmitt, L Schumacher, L Elsemüller, V Pratz, Y Schälte, ... arXiv preprint arXiv:2306.16015, 2023 | 36 | 2023 |
| A deep learning method for comparing Bayesian hierarchical models L Elsemüller, M Schnuerch, PC Bürkner, ST Radev Psychological Methods, 2024 | 6 | 2024 |
| Sensitivity-Aware Amortized Bayesian Inference L Elsemüller, H Olischläger, M Schmitt, PC Bürkner, U Köthe, ST Radev Transactions on Machine Learning Research, 2024 | 6 | 2024 |
| Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation L Elsemüller, V Pratz, M von Krause, A Voss, PC Bürkner, ST Radev arXiv preprint arXiv:2502.04949, 2025 | | 2025 |