Marvin Schmitt

24 papers A* 2A 2Journal 19Unranked 1
YearRankTypeTitle / 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
Enhancing Sentiment Classification and Irony Detection in Large Language Models through Advanced Prompt Engineering Techniques.
CoRR
Marvin Schmitt, Anne Schwerk, Sebastian Lempert
2026 J jnl
Posterior SBC: simulation-based calibration checking conditional on data.
Stat. Comput.
Teemu Säilynoja, Marvin Schmitt, Paul-Christian Bürkner, Aki Vehtari
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
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 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 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
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 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
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
Sensitivity-Aware Amortized Bayesian Inference.
CoRR
Lasse Elsemüller, Hans Olischläger, Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev
2022 J jnl
Meta-Uncertainty in Bayesian Model Comparison.
CoRR
Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner
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