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ORCIDPaul C. Bürkner
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2020 – today
- 2024
[j16]Noa Kallioinen
, Topi Paananen, Paul-Christian Bürkner, Aki Vehtari:
Detecting and diagnosing prior and likelihood sensitivity with power-scaling. Stat. Comput. 34(1): 57 (2024)- [c7]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 - [i20]Lei Shi, Paul C. Bürkner, Andreas Bulling:
ActionDiffusion: An Action-aware Diffusion Model for Procedure Planning in Instructional Videos. CoRR abs/2403.08591 (2024) - [i19]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) - [i18]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) - [i17]Daniel Habermann, Marvin Schmitt, Lars Kühmichel, Andreas Bulling, Stefan T. Radev, Paul-Christian Bürkner:
Amortized Bayesian Multilevel Models. CoRR abs/2408.13230 (2024) - [i16]Marvin Schmitt, Chengkun Li, Aki Vehtari, Luigi Acerbi, Paul-Christian Bürkner, Stefan T. Radev:
Amortized Bayesian Workflow (Extended Abstract). CoRR abs/2409.04332 (2024) - [i15]Philipp Reiser, Paul-Christian Bürkner, Anneli Guthke:
Bayesian Surrogate Training on Multiple Data Sources: A Hybrid Modeling Strategy. CoRR abs/2412.11875 (2024) - 2023
- [j15]Federico Pavone, Juho Piironen, Paul-Christian Bürkner, Aki Vehtari:
Using reference models in variable selection. Comput. Stat. 38(1): 349-371 (2023) - [j14]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: 112210 (2023) - [j13]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) - [j12]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): 17 (2023) - [j11]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): 4903-4917 (2023) - [c6]Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner:
Meta-Uncertainty in Bayesian Model Comparison. AISTATS 2023: 11-29 - [c5]Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev:
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks. DAGM 2023: 541-557 - [c4]Lorenzo Perini, Paul-Christian Bürkner, Arto Klami:
Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection. ICML 2023: 27668-27679 - [c3]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 - [i14]Lasse Elsemüller, Martin Schnuerch, Paul-Christian Bürkner, Stefan T. Radev:
A Deep Learning Method for Comparing Bayesian Hierarchical Models. CoRR abs/2301.11873 (2023) - [i13]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) - [i12]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) - [i11]Lei Shi, Paul-Christian Bürkner, Andreas Bulling:
Inferring Human Intentions from Predicted Action Probabilities. CoRR abs/2308.12194 (2023) - [i10]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) - [i9]Lasse Elsemüller, Hans Olischläger, Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev:
Sensitivity-Aware Amortized Bayesian Inference. CoRR abs/2310.11122 (2023) - [i8]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) - [i7]Philipp Reiser, Javier Enrique Aguilar, Anneli Guthke, Paul-Christian Bürkner:
Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference. CoRR abs/2312.05153 (2023) - [i6]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
- [j10]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: 119149 (2022) - [j9]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): 32 (2022) - [c2]Alejandro Catalina, Paul-Christian Bürkner, Aki Vehtari:
Projection Predictive Inference for Generalized Linear and Additive Multilevel Models. AISTATS 2022: 4446-4461 - [i5]Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner:
Meta-Uncertainty in Bayesian Model Comparison. CoRR abs/2210.07278 (2022) - [i4]Lorenzo Perini, Paul C. Bürkner, Arto Klami:
Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection. CoRR abs/2210.10487 (2022) - 2021
- [j8]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): 1243-1261 (2021) - [j7]Paul-Christian Bürkner:
Bayesian Item Response Modeling in R with brms and Stan. J. Stat. Softw. 100(5) (2021) - [j6]Bodo Winter, Paul-Christian Bürkner:
Poisson regression for linguists: A tutorial introduction to modelling count data with brms. Lang. Linguistics Compass 15(11) (2021) - [j5]Topi Paananen, Juho Piironen, Paul-Christian Bürkner, Aki Vehtari:
Implicitly adaptive importance sampling. Stat. Comput. 31(2): 16 (2021) - [i3]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) - 2020
- [j4]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: 116674 (2020) - [c1]Marcelo Hartmann, Georgi Agiashvili, Paul C. Bürkner, Arto Klami:
Flexible Prior Elicitation via the Prior Predictive Distribution. UAI 2020: 1129-1138 - [i2]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 abs/2004.10629 (2020) - [i1]Stefan T. Radev, Andreas Voss, Eva Marie Wieschen, Paul-Christian Bürkner:
Amortized Bayesian Inference for Models of Cognition. CoRR abs/2005.03899 (2020)
2010 – 2019
- 2019
- [j3]Paul-Christian Bürkner:
thurstonianIRT: Thurstonian IRT Models in R. J. Open Source Softw. 4(42): 1662 (2019) - 2018
- [j2]Tan Zhou, Sorin C. Popescu, A. Michelle Lawing, Marian Eriksson, Bogdan M. Strimbu, Paul C. Bürkner:
Bayesian and Classical Machine Learning Methods: A Comparison for Tree Species Classification with LiDAR Waveform Signatures. Remote. Sens. 10(1): 39 (2018) - [j1]Paul-Christian Bürkner:
Advanced Bayesian Multilevel Modeling with the R Package brms. R J. 10(1): 395 (2018)
Coauthor Index
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