Bürkner, Paul-Christian

16 publications

TMLR 2026 Amortized Bayesian Workflow Chengkun Li, Aki Vehtari, Paul-Christian Bürkner, Stefan T. Radev, Luigi Acerbi, Marvin Schmitt

TMLR 2026 Uncertainty-Aware Surrogate-Based Amortized Bayesian Inference for Computationally Expensive Models Stefania Scheurer, Philipp Reiser, Tim Brünnette, Wolfgang Nowak, Anneli Guthke, Paul-Christian Bürkner

WACV 2025 ActionDiffusion: An Action-Aware Diffusion Model for Procedure Planning in Instructional Videos Lei Shi, Paul-Christian Bürkner, Andreas Bulling

TMLR 2025 Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? a Systematic Evaluation Lasse Elsemüller, Valentin Pratz, Mischa von Krause, Andreas Voss, Paul-Christian Bürkner, Stefan T. Radev

ICLRW 2025 Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? a Systematic Evaluation Lasse Elsemüller, Valentin Pratz, Mischa von Krause, Paul-Christian Bürkner, Stefan T. Radev

AISTATS 2025 Posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms Måns Magnusson, Jakob Torgander, Paul-Christian Bürkner, Lu Zhang, Bob Carpenter, Aki Vehtari

ICLRW 2025 Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data Aayush Mishra, Daniel Habermann, Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner

NeurIPSW 2024 Amortized Bayesian Workflow (Extended Abstract) Marvin Schmitt, Chengkun Li, Aki Vehtari, Luigi Acerbi, Paul-Christian Bürkner, Stefan T. Radev

NeurIPS 2024 Consistency Models for Scalable and Fast Simulation-Based Inference Marvin Schmitt, Valentin Pratz, Ullrich Köthe, Paul-Christian Bürkner, Stefan T. Radev

ICML 2024 Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference Marvin Schmitt, Desi R. Ivanova, Daniel Habermann, Ullrich Koethe, Paul-Christian Bürkner, Stefan T. Radev

TMLR 2024 Sensitivity-Aware Amortized Bayesian Inference Lasse Elsemüller, Hans Olischläger, Marvin Schmitt, Paul-Christian Bürkner, Ullrich Koethe, Stefan T. Radev

ICML 2023 Estimating the Contamination Factor’s Distribution in Unsupervised Anomaly Detection Lorenzo Perini, Paul-Christian Bürkner, Arto Klami

UAI 2023 Jana: Jointly Amortized Neural Approximation of Complex Bayesian Models Stefan T. Radev, Marvin Schmitt, Valentin Pratz, Umberto Picchini, Ullrich Köthe, Paul-Christian Bürkner

NeurIPSW 2023 Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference Marvin Schmitt, Daniel Habermann, Paul-Christian Bürkner, Ullrich Koethe, Stefan T. Radev

AISTATS 2023 Meta-Uncertainty in Bayesian Model Comparison Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner

AISTATS 2022 Projection Predictive Inference for Generalized Linear and Additive Multilevel Models Alejandro Catalina, Paul-Christian Bürkner, Aki Vehtari