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Journal Articles
- 2023
[j1]Stefan T. Radev
, Marvin Schmitt, Lukas Schumacher, Lasse Elsemüller, Valentin Pratz, Yannik Schälte, Ullrich Köthe, Paul-Christian Bürkner:
BayesFlow: Amortized Bayesian Workflows With Neural Networks. J. Open Source Softw. 8(90): 5702 (2023)
Conference and Workshop Papers
- 2024
- [c4]Marvin Schmitt, Desi R. Ivanova, Daniel Habermann, Ullrich Köthe, Paul-Christian Bürkner, Stefan T. Radev:
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference. ICML 2024 - 2023
- [c3]Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner:
Meta-Uncertainty in Bayesian Model Comparison. AISTATS 2023: 11-29 - [c2]Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev:
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks. DAGM 2023: 541-557 - [c1]Stefan T. Radev, Marvin Schmitt, Valentin Pratz, Umberto Picchini, Ullrich Köthe, Paul-Christian Bürkner:
Jana: Jointly amortized neural approximation of complex Bayesian models. UAI 2023: 1695-1706
Informal and Other Publications
- 2024
- [i12]Marvin Schmitt, Yuga Hikida, Stefan T. Radev, Filip Sadlo, Paul-Christian Bürkner:
The Simplex Projection: Lossless Visualization of 4D Compositional Data on a 2D Canvas. CoRR abs/2403.11141 (2024) - [i11]Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev:
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation. CoRR abs/2406.03154 (2024) - [i10]Daniel Habermann, Marvin Schmitt, Lars Kühmichel, Andreas Bulling, Stefan T. Radev, Paul-Christian Bürkner:
Amortized Bayesian Multilevel Models. CoRR abs/2408.13230 (2024) - [i9]Marvin Schmitt, Chengkun Li, Aki Vehtari, Luigi Acerbi, Paul-Christian Bürkner, Stefan T. Radev:
Amortized Bayesian Workflow (Extended Abstract). CoRR abs/2409.04332 (2024) - 2023
- [i8]Stefan T. Radev, Marvin Schmitt, Valentin Pratz, Umberto Picchini, Ullrich Köthe, Paul-Christian Bürkner:
JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models. CoRR abs/2302.09125 (2023) - [i7]Stefan T. Radev, Marvin Schmitt, Lukas Schumacher, Lasse Elsemüller, Valentin Pratz, Yannik Schälte, Ullrich Köthe, Paul-Christian Bürkner:
BayesFlow: Amortized Bayesian Workflows With Neural Networks. CoRR abs/2306.16015 (2023) - [i6]Marvin Schmitt, Daniel Habermann, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev:
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference. CoRR abs/2310.04395 (2023) - [i5]Lasse Elsemüller, Hans Olischläger, Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev:
Sensitivity-Aware Amortized Bayesian Inference. CoRR abs/2310.11122 (2023) - [i4]Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner:
Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based Inference. CoRR abs/2311.10671 (2023) - [i3]Marvin Schmitt, Valentin Pratz, Ullrich Köthe, Paul-Christian Bürkner, Stefan T. Radev:
Consistency Models for Scalable and Fast Simulation-Based Inference. CoRR abs/2312.05440 (2023) - 2022
- [i2]Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner:
Meta-Uncertainty in Bayesian Model Comparison. CoRR abs/2210.07278 (2022) - 2021
- [i1]Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev:
BayesFlow can reliably detect Model Misspecification and Posterior Errors in Amortized Bayesian Inference. CoRR abs/2112.08866 (2021)
Coauthor Index
aka: Paul-Christian Bürkner
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