BayesFlow can reliably detect Model Misspecification and Posterior Errors in Amortized Bayesian Inference. - Marvin Schmitt; Paul-Christian Bürkner; Ullrich Köthe; Stefan T. Radev (CoRR, 2021)

Meta-Uncertainty in Bayesian Model Comparison. - Marvin Schmitt; Stefan T. Radev; Paul-Christian Bürkner (AISTATS, 2023)

Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks. - Marvin Schmitt; Paul-Christian Bürkner; Ullrich Köthe; Stefan T. Radev (DAGM, 2023)

Jana: Jointly amortized neural approximation of complex Bayesian models. - Stefan T. Radev; Marvin Schmitt; Valentin Pratz; Umberto Picchini; Ullrich Köthe; Paul-Christian Bürkner (UAI, 2023)

Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference. - Marvin Schmitt; Daniel Habermann; Paul-Christian Bürkner; Ullrich Köthe; Stefan T. Radev (CoRR, 2023)

Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based Inference. - Marvin Schmitt; Stefan T. Radev; Paul-Christian Bürkner (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)

Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference. - Marvin Schmitt; Desi R. Ivanova; Daniel Habermann; Ullrich Köthe; Paul-Christian Bürkner; Stefan T. Radev (ICML, 2024)

Consistency Models for Scalable and Fast Simulation-Based Inference. - Marvin Schmitt; Valentin Pratz; Ullrich Köthe; Paul-Christian Bürkner; Stefan T. Radev (NeurIPS, 2024)

The Simplex Projection: Lossless Visualization of 4D Compositional Data on a 2D Canvas. - Marvin Schmitt; Yuga Hikida; Stefan T. Radev; Filip Sadlo; Paul-Christian Bürkner (CoRR, 2024)

Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation. - Marvin Schmitt; Paul-Christian Bürkner; Ullrich Köthe; Stefan T. Radev (CoRR, 2024)

Amortized Bayesian Multilevel Models. - Daniel Habermann; Marvin Schmitt; Lars Kühmichel; Andreas Bulling; Stefan T. Radev; Paul-Christian Bürkner (CoRR, 2024)

Amortized Bayesian Workflow (Extended Abstract). - Marvin Schmitt; Chengkun Li; Aki Vehtari; Luigi Acerbi; Paul-Christian Bürkner; Stefan T. Radev (CoRR, 2024)

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

Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data. - Aayush Mishra; Daniel Habermann; Marvin Schmitt; Stefan T. Radev; Paul-Christian Bürkner (CoRR, 2025)