Paul-Christian Bürkner

59 papers A* 3A 4Journal 51Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Amortized Bayesian Workflow. Trans. Mach. Learn. Res. Chengkun Li, Aki Vehtari, Paul-Christian Bürkner, Stefan T. Radev, Luigi Acerbi, Marvin Schmitt
2026	J	`jnl`	BayesFlow 2.0: Multi-Backend Amortized Bayesian Inference in Python. CoRR Lars Kühmichel, Jerry M. Huang, Valentin Pratz, Jonas Arruda, Hans Olischläger, Daniel Habermann, Simon Kucharský, Lasse Elsemüller, Aayush Mishra, Niels Bracher, Svenja Jedhoff, Marvin Schmitt, Paul-Christian Bürkner, Stefan T. Radev
2026	J	`jnl`	From Mice to Trains: Amortized Bayesian Inference on Graph Data. CoRR Svenja Jedhoff, Elizaveta Semenova, Aura Raulo, Anne Meyer, Paul-Christian Bürkner
2026	J	`jnl`	Hilbert space methods for approximating multi-output latent variable Gaussian processes. Stat. Comput. Soham Mukherjee, Manfred Claassen, Paul-Christian Bürkner
2026	J	`jnl`	Posterior SBC: simulation-based calibration checking conditional on data. Stat. Comput. Teemu Säilynoja, Marvin Schmitt, Paul-Christian Bürkner, Aki Vehtari
2026	J	`jnl`	Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models. Trans. Mach. Learn. Res. Stefania Scheurer, Philipp Reiser, Tim Brünnette, Wolfgang Nowak, Anneli Guthke, Paul-Christian Bürkner
2026	J	`jnl`	Unsupervised Continual Learning for Amortized Bayesian Inference. CoRR Aayush Mishra, Simon Kucharský, Paul-Christian Bürkner
2025	J	`jnl`	Amortized Bayesian Mixture Models. CoRR Simon Kucharský, Paul-Christian Bürkner
2025	J	`jnl`	DGP-LVM: Derivative Gaussian process latent variable models. Stat. Comput. Soham Mukherjee, Manfred Claassen, Paul-Christian Bürkner
2025	J	`jnl`	Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation. CoRR Lasse Elsemüller, Valentin Pratz, Mischa von Krause, Andreas Voss, Paul-Christian Bürkner, Stefan T. Radev
2025	J	`jnl`	Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation. Trans. Mach. Learn. Res. Lasse Elsemüller, Valentin Pratz, Mischa von Krause, Andreas Voss, Paul-Christian Bürkner, Stefan T. Radev
2025	J	`jnl`	Expert-elicitation method for non-parametric joint priors using normalizing flows. Stat. Comput. Florence Bockting, Stefan T. Radev, Paul-Christian Bürkner
2025	J	`jnl`	JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference. CoRR Niels Bracher, Lars Kühmichel, Desi R. Ivanova, Xavier Intes, Paul-Christian Bürkner, Stefan T. Radev
2025	J	`jnl`	Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data. CoRR Aayush Mishra, Daniel Habermann, Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner
2025	J	`jnl`	Towards Trustworthy Amortized Bayesian Model Comparison. CoRR Simon Kucharský, Aayush Mishra, Daniel Habermann, Stefan T. Radev, Paul-Christian Bürkner
2025	J	`jnl`	Uncertainty quantification and propagation in surrogate-based Bayesian inference. Stat. Comput. Philipp Reiser, Javier Enrique Aguilar, Anneli Guthke, Paul-Christian Bürkner
2025	J	`jnl`	Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models. CoRR Stefania Scheurer, Philipp Reiser, Tim Brünnette, Wolfgang Nowak, Anneli Guthke, Paul-Christian Bürkner
2025	A	`conf`	posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms. AISTATS Måns Magnusson, Jakob Torgander, Paul-Christian Bürkner, Lu Zhang, Bob Carpenter, Aki Vehtari
2024	J	`jnl`	Amortized Bayesian Multilevel Models. CoRR Daniel Habermann, Marvin Schmitt, Lars Kühmichel, Andreas Bulling, Stefan T. Radev, Paul-Christian Bürkner
2024	J	`jnl`	Amortized Bayesian Workflow (Extended Abstract). CoRR Marvin Schmitt, Chengkun Li, Aki Vehtari, Luigi Acerbi, Paul-Christian Bürkner, Stefan T. Radev
2024	J	`jnl`	Bayesian Surrogate Training on Multiple Data Sources: A Hybrid Modeling Strategy. CoRR Philipp Reiser, Paul-Christian Bürkner, Anneli Guthke
2024	A*	`conf`	Consistency Models for Scalable and Fast Simulation-Based Inference. NeurIPS Marvin Schmitt, Valentin Pratz, Ullrich Köthe, Paul-Christian Bürkner, Stefan T. Radev
2024	J	`jnl`	Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation. CoRR Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev
2024	J	`jnl`	Detecting and diagnosing prior and likelihood sensitivity with power-scaling. Stat. Comput. Noa Kallioinen, Topi Paananen, Paul-Christian Bürkner, Aki Vehtari
2024	A*	`conf`	Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference. ICML Marvin Schmitt, Desi R. Ivanova, Daniel Habermann, Ullrich Köthe, Paul-Christian Bürkner, Stefan T. Radev
2024	J	`jnl`	Sensitivity-Aware Amortized Bayesian Inference. Trans. Mach. Learn. Res. Lasse Elsemüller, Hans Olischläger, Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev
2024	J	`jnl`	The Simplex Projection: Lossless Visualization of 4D Compositional Data on a 2D Canvas. CoRR Marvin Schmitt, Yuga Hikida, Stefan T. Radev, Filip Sadlo, Paul-Christian Bürkner
2023	J	`jnl`	A Deep Learning Method for Comparing Bayesian Hierarchical Models. CoRR Lasse Elsemüller, Martin Schnuerch, Paul-Christian Bürkner, Stefan T. Radev
2023	J	`jnl`	A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of terms. J. Comput. Phys. Paul-Christian Bürkner, Ilja Kröker, Sergey Oladyshkin, Wolfgang Nowak
2023	J	`jnl`	Amortized Bayesian Model Comparison With Evidential Deep Learning. IEEE Trans. Neural Networks Learn. Syst. Stefan T. Radev, Marco D'Alessandro, Ulf K. Mertens, Andreas Voss, Ullrich Köthe, Paul-Christian Bürkner
2023	J	`jnl`	BayesFlow: Amortized Bayesian Workflows With Neural Networks. CoRR Stefan T. Radev, Marvin Schmitt, Lukas Schumacher, Lasse Elsemüller, Valentin Pratz, Yannik Schälte, Ullrich Köthe, Paul-Christian Bürkner
2023	J	`jnl`	BayesFlow: Amortized Bayesian Workflows With Neural Networks. J. Open Source Softw. Stefan T. Radev, Marvin Schmitt, Lukas Schumacher, Lasse Elsemüller, Valentin Pratz, Yannik Schälte, Ullrich Köthe, Paul-Christian Bürkner
2023	J	`jnl`	Consistency Models for Scalable and Fast Simulation-Based Inference. CoRR Marvin Schmitt, Valentin Pratz, Ullrich Köthe, Paul-Christian Bürkner, Stefan T. Radev
2023	—	`conf`	Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks. DAGM Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev
2023	A*	`conf`	Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection. ICML Lorenzo Perini, Paul-Christian Bürkner, Arto Klami
2023	J	`jnl`	Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based Inference. CoRR Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner
2023	J	`jnl`	Inferring Human Intentions from Predicted Action Probabilities. CoRR Lei Shi, Paul-Christian Bürkner, Andreas Bulling
2023	J	`jnl`	JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models. CoRR Stefan T. Radev, Marvin Schmitt, Valentin Pratz, Umberto Picchini, Ullrich Köthe, Paul-Christian Bürkner
2023	A	`conf`	Jana: Jointly amortized neural approximation of complex Bayesian models. UAI Stefan T. Radev, Marvin Schmitt, Valentin Pratz, Umberto Picchini, Ullrich Köthe, Paul-Christian Bürkner
2023	J	`jnl`	Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference. CoRR Marvin Schmitt, Daniel Habermann, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev
2023	A	`conf`	Meta-Uncertainty in Bayesian Model Comparison. AISTATS Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner
2023	J	`jnl`	Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming. Stat. Comput. Gabriel Riutort-Mayol, Paul-Christian Bürkner, Michael Riis Andersen, Arno Solin, Aki Vehtari
2023	J	`jnl`	Sensitivity-Aware Amortized Bayesian Inference. CoRR Lasse Elsemüller, Hans Olischläger, Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev
2023	J	`jnl`	Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference. CoRR Philipp Reiser, Javier Enrique Aguilar, Anneli Guthke, Paul-Christian Bürkner
2023	J	`jnl`	Using reference models in variable selection. Comput. Stat. Federico Pavone, Juho Piironen, Paul-Christian Bürkner, Aki Vehtari
2022	J	`jnl`	Atlas of type 2 dopamine receptors in the human brain: Age and sex dependent variability in a large PET cohort. NeuroImage Tuulia Malén, Tomi Karjalainen, Janne Isojärvi, Aki Vehtari, Paul-Christian Bürkner, Vesa Putkinen, Valtteri Kaasinen, Jarmo Hietala, Pirjo Nuutila, Juha O. Rinne, Lauri Nummenmaa
2022	J	`jnl`	Graphical test for discrete uniformity and its applications in goodness-of-fit evaluation and multiple sample comparison. Stat. Comput. Teemu Säilynoja, Paul-Christian Bürkner, Aki Vehtari
2022	J	`jnl`	Meta-Uncertainty in Bayesian Model Comparison. CoRR Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner
2022	A	`conf`	Projection Predictive Inference for Generalized Linear and Additive Multilevel Models. AISTATS Alejandro Catalina, Paul-Christian Bürkner, Aki Vehtari
2021	J	`jnl`	BayesFlow can reliably detect Model Misspecification and Posterior Errors in Amortized Bayesian Inference. CoRR Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev
2021	J	`jnl`	Bayesian Item Response Modeling in R with brms and Stan. J. Stat. Softw. Paul-Christian Bürkner
2021	J	`jnl`	Efficient leave-one-out cross-validation for Bayesian non-factorized normal and Student-t models. Comput. Stat. Paul-Christian Bürkner, Jonah Gabry, Aki Vehtari
2021	J	`jnl`	Implicitly adaptive importance sampling. Stat. Comput. Topi Paananen, Juho Piironen, Paul-Christian Bürkner, Aki Vehtari
2021	J	`jnl`	Poisson regression for linguists: A tutorial introduction to modelling count data with brms. Lang. Linguistics Compass Bodo Winter, Paul-Christian Bürkner
2020	J	`jnl`	Amortized Bayesian Inference for Models of Cognition. CoRR Stefan T. Radev, Andreas Voss, Eva Marie Wieschen, Paul-Christian Bürkner
2020	J	`jnl`	Amortized Bayesian model comparison with evidential deep learning. CoRR Stefan T. Radev, Marco D'Alessandro, Paul-Christian Bürkner, Ulf K. Mertens, Andreas Voss, Ullrich Köthe
2020	J	`jnl`	Impaired context-sensitive adjustment of behaviour in Parkinson's disease patients tested on and off medication: An fMRI study. NeuroImage Ima Trempler, Paul-Christian Bürkner, Nadiya El-Sourani, Ellen Binder, Paul Reker, Gereon R. Fink, Ricarda I. Schubotz
2019	J	`jnl`	thurstonianIRT: Thurstonian IRT Models in R. J. Open Source Softw. Paul-Christian Bürkner
2018	J	`jnl`	Advanced Bayesian Multilevel Modeling with the R Package brms. R J. Paul-Christian Bürkner