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Journal article
Rath, Katharina 
ORCID: https://orcid.org/0000-0002-4962-5656; Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980; Toussaint, Udo von; Rea, Cristina ORCID: https://orcid.org/0000-0002-9948-2649; Maris, Andrew; Granetz, Robert und Albert, Christopher G. ORCID: https://orcid.org/0000-0003-4773-416X
(2022):
Data augmentation for disruption prediction via robust surrogate models.
In: Journal of Plasma Physics, Vol. 88, No. 5: pp. 1-23
[PDF, 1MB]
ORCID: https://orcid.org/0000-0002-4962-5656; Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980; Toussaint, Udo von; Rea, Cristina ORCID: https://orcid.org/0000-0002-9948-2649; Maris, Andrew; Granetz, Robert und Albert, Christopher G. ORCID: https://orcid.org/0000-0003-4773-416X
(2022):
Data augmentation for disruption prediction via robust surrogate models.
In: Journal of Plasma Physics, Vol. 88, No. 5: pp. 1-23
[PDF, 1MB]
Rath, Katharina; Albert, Christopher G.; Bischl, Bernd und Toussaint, Udo von
(2021):
Symplectic Gaussian process regression of maps in Hamiltonian systems.
In: Chaos, Vol. 31, No. 5, 53121
Albert, Christopher G. und Rath, Katharina
(2020):
Gaussian Process Regression for Data Fulfilling Linear Differential Equations with Localized Sources.
In: Entropy, Vol. 22, No. 2, 152