Marvin Schmitt

According to our database, Marvin Schmitt authored at least 19 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Posterior SBC: simulation-based calibration checking conditional on data.

Teemu Säilynoja, Marvin Schmitt, Paul-Christian Bürkner, Aki Vehtari

Stat. Comput., April, 2026

BayesFlow 2.0: Multi-Backend Amortized Bayesian Inference in Python.

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

CoRR, February, 2026

Enhancing Sentiment Classification and Irony Detection in Large Language Models through Advanced Prompt Engineering Techniques.

Marvin Schmitt, Anne Schwerk, Sebastian Lempert

CoRR, January, 2026

Amortized Bayesian Workflow.

Chengkun Li, Aki Vehtari, Paul-Christian Bürkner, Stefan T. Radev, Luigi Acerbi, Marvin Schmitt

Trans. Mach. Learn. Res., 2026

2025

Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data.

Aayush Mishra, Daniel Habermann, Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner

CoRR, January, 2025

2024

Sensitivity-Aware Amortized Bayesian Inference.

Lasse Elsemüller, Hans Olischläger, Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev

Trans. Mach. Learn. Res., 2024

Amortized Bayesian Workflow (Extended Abstract).

Marvin Schmitt, Chengkun Li, Aki Vehtari, Luigi Acerbi, Paul-Christian Bürkner, Stefan T. Radev

CoRR, 2024

Amortized Bayesian Multilevel Models.

Daniel Habermann, Marvin Schmitt, Lars Kühmichel, Andreas Bulling, Stefan T. Radev, Paul-Christian Bürkner

CoRR, 2024

Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation.

Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev

CoRR, 2024

The Simplex Projection: Lossless Visualization of 4D Compositional Data on a 2D Canvas.

Marvin Schmitt, Yuga Hikida, Stefan T. Radev, Filip Sadlo, Paul-Christian Bürkner

CoRR, 2024

Consistency Models for Scalable and Fast Simulation-Based Inference.

Marvin Schmitt, Valentin Pratz, Ullrich Köthe, Paul-Christian Bürkner, Stefan T. Radev

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference.

Marvin Schmitt, Desi R. Ivanova, Daniel Habermann, Ullrich Köthe, Paul-Christian Bürkner, Stefan T. Radev

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

BayesFlow: Amortized Bayesian Workflows With Neural Networks.

Stefan T. Radev, Marvin Schmitt, Lukas Schumacher, Lasse Elsemüller, Valentin Pratz, Yannik Schälte, Ullrich Köthe, Paul-Christian Bürkner

J. Open Source Softw., October, 2023

Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based Inference.

Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner

CoRR, 2023

Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference.

Marvin Schmitt, Daniel Habermann, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev

CoRR, 2023

Jana: Jointly amortized neural approximation of complex Bayesian models.

Stefan T. Radev, Marvin Schmitt, Valentin Pratz, Umberto Picchini, Ullrich Köthe, Paul-Christian Bürkner

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks.

Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

Meta-Uncertainty in Bayesian Model Comparison.

Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021

BayesFlow can reliably detect Model Misspecification and Posterior Errors in Amortized Bayesian Inference.

Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev

CoRR, 2021