Marvin Schmitt

CoRR, 2024

2023

BayesFlow: Amortized Bayesian Workflows With Neural Networks.

[BibT_eX]

[DOI]

J. Open Source Softw., October, 2023

Consistency Models for Scalable and Fast Simulation-Based Inference.

[BibT_eX]

[DOI]

Valentin Pratz

CoRR, 2023

Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based Inference.

[BibT_eX]

[DOI]

CoRR, 2023

Sensitivity-Aware Amortized Bayesian Inference.

[BibT_eX]

[DOI]

Lasse Elsemüller

Hans Olischläger

CoRR, 2023

Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference.

[BibT_eX]

[DOI]

Daniel Habermann

CoRR, 2023

Jana: Jointly amortized neural approximation of complex Bayesian models.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

Meta-Uncertainty in Bayesian Model Comparison.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021

BayesFlow can reliably detect Model Misspecification and Posterior Errors in Amortized Bayesian Inference.

[BibT_eX]

[DOI]