Data augmentation for disruption prediction via robust surrogate models

Rath, K.; Albert, C. G.; Bischl, B.; Toussaint, U. von

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Data augmentation for disruption prediction via robust surrogate models

Rath, K., Albert, C. G., Bischl, B., & Toussaint, U. v. (2021). Data augmentation for disruption prediction via robust surrogate models. Talk presented at 63rd Annual Meeting of the APS Division of Plasma Physics. Pittsburgh, PA. 2021-11-08 - 2021-11-12.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0009-A633-2 Version Permalink: https://hdl.handle.net/21.11116/0000-0009-A634-1

Genre: Talk

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Creators:
Rath, K.^{1, 2}, Author
Albert, C. G.¹, Author
Bischl, B.², Author
Toussaint, U. von¹, Author

Affiliations:
1Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856344
2External Organizations, ou_persistent22

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Language(s): eng - English

Dates: Submitted: 2021

Publication Status: Submitted

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Title: 63rd Annual Meeting of the APS Division of Plasma Physics

Place of Event: Pittsburgh, PA

Start-/End Date: 2021-11-08 - 2021-11-12

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