Paul-Christian Bürkner

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 35

Top Topics

Reference Models

Bayesian Inference

Top Venues

J. Open Source Softw.

Publications

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 (2024)
Noa Kallioinen, Topi Paananen, Paul-Christian Bürkner, Aki Vehtari
Detecting and diagnosing prior and likelihood sensitivity with power-scaling. Stat. Comput. 34 (1) (2024)
Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation. CoRR (2024)
Lei Shi, Paul-Christian Bürkner, Andreas Bulling
Inferring Human Intentions from Predicted Action Probabilities. CoRR (2023)
Federico Pavone, Juho Piironen, Paul-Christian Bürkner, Aki Vehtari
Using reference models in variable selection. Comput. Stat. 38 (1) (2023)
Paul-Christian Bürkner, Ilja Kröker, Sergey Oladyshkin, Wolfgang Nowak
A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of terms. J. Comput. Phys. 488 (2023)
Stefan T. Radev, Marvin Schmitt, Valentin Pratz, Umberto Picchini, Ullrich Köthe, Paul-Christian Bürkner
JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models. CoRR (2023)
Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner
Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based Inference. CoRR (2023)
Lasse Elsemüller, Hans Olischläger, Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev
Sensitivity-Aware Amortized Bayesian Inference. CoRR (2023)
Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner
Meta-Uncertainty in Bayesian Model Comparison. AISTATS (2023)
Philipp Reiser, Javier Enrique Aguilar, Anneli Guthke, Paul-Christian Bürkner
Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference. CoRR (2023)
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) (2023)
Stefan T. Radev, Marco D'Alessandro, Ulf K. Mertens, Andreas Voss, Ullrich Köthe, Paul-Christian Bürkner
Amortized Bayesian Model Comparison With Evidential Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Lorenzo Perini, Paul-Christian Bürkner, Arto Klami
Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection. ICML (2023)
Marvin Schmitt, Valentin Pratz, Ullrich Köthe, Paul-Christian Bürkner, Stefan T. Radev
Consistency Models for Scalable and Fast Simulation-Based Inference. CoRR (2023)
Lasse Elsemüller, Martin Schnuerch, Paul-Christian Bürkner, Stefan T. Radev
A Deep Learning Method for Comparing Bayesian Hierarchical Models. CoRR (2023)
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 (2023)
Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks. DAGM (2023)
Marvin Schmitt, Daniel Habermann, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference. CoRR (2023)
Gabriel Riutort-Mayol, Paul-Christian Bürkner, Michael Riis Andersen, Arno Solin, Aki Vehtari
Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming. Stat. Comput. 33 (1) (2023)
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)
Alejandro Catalina, Paul-Christian Bürkner, Aki Vehtari
Projection Predictive Inference for Generalized Linear and Additive Multilevel Models. AISTATS (2022)
Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner
Meta-Uncertainty in Bayesian Model Comparison. CoRR (2022)
Tuulia Malén, Tomi Karjalainen, Janne Isojärvi, Aki Vehtari, Paul-Christian Bürkner, Vesa Putkinen, Valtteri Kaasinen, Jarmo Hietala, Pirjo Nuutila, Juha O. Rinne, Lauri Nummenmaa
Atlas of type 2 dopamine receptors in the human brain: Age and sex dependent variability in a large PET cohort. NeuroImage 255 (2022)
Teemu Säilynoja, Paul-Christian Bürkner, Aki Vehtari
Graphical test for discrete uniformity and its applications in goodness-of-fit evaluation and multiple sample comparison. Stat. Comput. 32 (2) (2022)
Paul-Christian Bürkner
Bayesian Item Response Modeling in R with brms and Stan. J. Stat. Softw. 100 (5) (2021)
Bodo Winter, Paul-Christian Bürkner
Poisson regression for linguists: A tutorial introduction to modelling count data with brms. Lang. Linguistics Compass 15 (11) (2021)
Paul-Christian Bürkner, Jonah Gabry, Aki Vehtari
Efficient leave-one-out cross-validation for Bayesian non-factorized normal and Student-t models. Comput. Stat. 36 (2) (2021)
Topi Paananen, Juho Piironen, Paul-Christian Bürkner, Aki Vehtari
Implicitly adaptive importance sampling. Stat. Comput. 31 (2) (2021)
Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev
BayesFlow can reliably detect Model Misspecification and Posterior Errors in Amortized Bayesian Inference. CoRR (2021)
Ima Trempler, Paul-Christian Bürkner, Nadiya El-Sourani, Ellen Binder, Paul Reker, Gereon R. Fink, Ricarda I. Schubotz
Impaired context-sensitive adjustment of behaviour in Parkinson's disease patients tested on and off medication: An fMRI study. NeuroImage 212 (2020)
Stefan T. Radev, Andreas Voss, Eva Marie Wieschen, Paul-Christian Bürkner
Amortized Bayesian Inference for Models of Cognition. CoRR (2020)
Stefan T. Radev, Marco D'Alessandro, Paul-Christian Bürkner, Ulf K. Mertens, Andreas Voss, Ullrich Köthe
Amortized Bayesian model comparison with evidential deep learning. CoRR (2020)
Paul-Christian Bürkner
thurstonianIRT: Thurstonian IRT Models in R. J. Open Source Softw. 4 (42) (2019)
Paul-Christian Bürkner
Advanced Bayesian Multilevel Modeling with the R Package brms. R J. 10 (1) (2018)