Marvin Schmitt 个人学术档案

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	总计	2019 年至今
引用	69	69
h 指数	4	4
i10 指数	4	4

2022202320244 37 28

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Paul-Christian BürknerFull Professor of Computational Statistics, TU Dortmund University在 tu-dortmund.de 的电子邮件经过验证
Stefan T. RadevAssistant Professor, Rensselaer Polytechnic Institute在 rpi.edu 的电子邮件经过验证
Ullrich KötheAdjunct Professor of Computer Science, University of Heidelberg在 iwr.uni-heidelberg.de 的电子邮件经过验证
Lasse ElsemüllerHeidelberg University在 psychologie.uni-mannheim.de 的电子邮件经过验证
Yannik SchälteUniversity of Bonn and Helmholtz Center Munich在 uni-bonn.de 的电子邮件经过验证
Lukas SchumacherUniversity of Basel在 unibas.ch 的电子邮件经过验证
Umberto PicchiniDept. Mathematical Sciences, University of Gothenburg and Chalmers University of Technology在 chalmers.se 的电子邮件经过验证
Gabriele I StanglMartin Luther University Halle-Wittenberg在 landw.uni-halle.de 的电子邮件经过验证
Wim WätjenMartin Luther Universität, Institute of Agricultural and Nutritional Sciences在 uni-duesseldorf.de 的电子邮件经过验证
Rafael MikolajczykFull Professor for Epidemiology and Biometrics, Martin Luther University Halle-Wittenberg在 uk-halle.de 的电子邮件经过验证
Franz EwendtMartin Luther University Halle-Wittenberg在 landw.uni-halle.de 的电子邮件经过验证

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Marvin Schmitt

Cluster of Excellence SimTech, University of Stuttgart

在 simtech.uni-stuttgart.de 的电子邮件经过验证 - 首页

Probabilistic Machine Learning Machine Learning for Science Uncertainty Quantification Robustness


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks M Schmitt, PC Bürkner, U Köthe, ST Radev German Conference on Pattern Recognition, 2021	24*	2021
BayesFlow: Amortized Bayesian Workflows With Neural Networks ST Radev, M Schmitt, L Schumacher, L Elsemüller, V Pratz, Y Schälte, ... Journal of Open Source Software 8 (89), 5702, 2023	15	2023
JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models ST Radev, M Schmitt, V Pratz, U Picchini, U Köthe, PC Bürkner Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence …, 2023	14	2023
Meta-uncertainty in Bayesian model comparison M Schmitt, ST Radev, PC Bürkner International Conference on Artificial Intelligence and Statistics, 11-29, 2023	10	2023
Association between vitamin D status and eryptosis–results from the German National Cohort Study F Ewendt, M Schmitt, A Kluttig, J Kühn, F Hirche, FB Kraus, ... Annals of Hematology 102 (6), 1351-1361, 2023	3	2023
Sensitivity-Aware Amortized Bayesian Inference L Elsemüller, H Olischläger, M Schmitt, PC Bürkner, U Köthe, ST Radev arXiv preprint arXiv:2310.11122, 2023	2	2023
Smoking is associated with increased eryptosis, suicidal erythrocyte death, in a large population-based cohort M Schmitt, F Ewendt, A Kluttig, R Mikolajczyk, FB Kraus, W Wätjen, ... Scientific Reports 14 (1), 3024, 2024	1	2024
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation M Schmitt, PC Bürkner, U Köthe, ST Radev arXiv preprint arXiv:2406.03154, 2024		2024
The Simplex Projection: Lossless Visualization of 4D Compositional Data on a 2D Canvas M Schmitt, Y Hikida, ST Radev, F Sadlo, PC Bürkner arXiv preprint arXiv:2403.11141, 2024		2024
Consistency Models for Scalable and Fast Simulation-Based Inference M Schmitt, V Pratz, U Köthe, PC Bürkner, ST Radev arXiv preprint arXiv:2312.05440, 2023		2023
Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based Inference M Schmitt, ST Radev, PC Bürkner arXiv preprint arXiv:2311.10671, 2023		2023
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference M Schmitt, D Habermann, PC Bürkner, U Köthe, ST Radev NeurIPS UniReps, 2023		2023

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