Linearization Turns Neural Operators into Function-Valued Gaussian Processes

Modeling dynamical systems, e.g. in climate and engineering sciences, often necessitates solving partial differential equations. Neural operators are deep neural networks designed to learn nontrivial solution operators of such differential equations from data. As for all statistical models, the pred...

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Hauptverfasser:	Magnani, Emilia, Pförtner, Marvin, Weber, Tobias, Hennig, Philipp
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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