Radev, Stefan T.

14 publications

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

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

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

NeurIPSW 2024 Compressing Recurrent Neural Networks for FPGA-Accelerated Implementation in Fluorescence Lifetime Imaging Ismail Erbas, Vikas Pandey, Aporva Amarnath, Naigang Wang, Karthik Swaminathan, Stefan T. Radev, Xavier Intes

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

NeurIPSW 2024 Data-Efficient Variational Mutual Information Estimation via Bayesian Self-Consistency Desi R. Ivanova, Marvin Schmitt, 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

TMLR 2023 Finding Competence Regions in Domain Generalization Jens Müller, Stefan T. Radev, Robert Schmier, Felix Draxler, Carsten Rother, Ullrich Koethe

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