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3 Publikationen
2024 | Konferenzband - Beitrag | ELSA-ID: 12815 | 
Tebbe, Jörn, Christoph Zimmer, Ansgar Steland, Markus Lange-Hegermann und Fabian Mies. 2024. Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning. International Conference on Artificial Intelligence and Statistics (AISTATS), Vol. 238. Proceedings of Machine Learning Research. MLResearchPress .
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2023 | Konferenzband - Beitrag | ELSA-ID: 12828
Härkönen, Marc , Markus Lange-Hegermann und Bogdan Raiţă. 2023. Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients. 40th International Conference on Machine Learning. Bd. 202. Proceedings of machine learning research : PMLR. MLResearchPress .
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2021 | Konferenzband - Beitrag | ELSA-ID: 12786
Lange-Hegermann, Markus. 2021. Linearly Constrained Gaussian Processes with Boundary Conditions. Hg. von A. Banerjee und K. Fukumizu. 24th International Conference on Artificial Intelligence and Statistics (AISTATS). Bd. 130. Proceedings of machine learning research : PMLR . MLResearchPress .
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