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Machine learning approximations of Bayesian models

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Pavone,  A.
Stellarator Heating and Optimisation (E3), Max Planck Institute for Plasma Physics, Max Planck Society;

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Svensson,  J.
Stellarator Dynamics and Transport (E5), Max Planck Institute for Plasma Physics, Max Planck Society;

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Langenberg,  A.
Stellarator Heating and Optimisation (E3), Max Planck Institute for Plasma Physics, Max Planck Society;

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Kwak,  S.
Stellarator Dynamics and Transport (E5), Max Planck Institute for Plasma Physics, Max Planck Society;

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Hoefel,  U.
Stellarator Heating and Optimisation (E3), Max Planck Institute for Plasma Physics, Max Planck Society;

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Wolf,  R. C.
Stellarator Heating and Optimisation (E3), Max Planck Institute for Plasma Physics, Max Planck Society;

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Pavone, A., Svensson, J., Langenberg, A., Kwak, S., Hoefel, U., Pablant, N., et al. (2019). Machine learning approximations of Bayesian models. Talk presented at DPG-Frühjahrstagung 2019 der Sektion Materie und Kosmos (SMuK). München. 2019-03-17 - 2019-03-22.


Cite as: https://hdl.handle.net/21.11116/0000-0003-1B4E-9
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