Marvin Schmitt

Orcid: 0000-0002-7967-4723

According to our database1, Marvin Schmitt authored at least 14 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Amortized Bayesian Workflow (Extended Abstract).
CoRR, 2024

Amortized Bayesian Multilevel Models.
CoRR, 2024

Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation.
CoRR, 2024

The Simplex Projection: Lossless Visualization of 4D Compositional Data on a 2D Canvas.
CoRR, 2024

Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
BayesFlow: Amortized Bayesian Workflows With Neural Networks.
J. Open Source Softw., October, 2023

Consistency Models for Scalable and Fast Simulation-Based Inference.
CoRR, 2023

Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based Inference.
CoRR, 2023

Sensitivity-Aware Amortized Bayesian Inference.
CoRR, 2023

Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference.
CoRR, 2023

Jana: Jointly amortized neural approximation of complex Bayesian models.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks.
Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

Meta-Uncertainty in Bayesian Model Comparison.
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.
CoRR, 2021


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