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1 Ergebnisse
1
Deep learning and variational inversion to quantify and att..:
Domazetoski, Viktor
;
Zúñiga-González, Andrés
;
Allemang, Owen
.
https://github.com/eds-book-gallery/93463cac-471a-469d-ad52-0514fd9b67f2/tree/v1.0.1. , 2023
Link:
https://zenodo.org/record/8330771
RT Journal T1 <Title>Deep learning and variational inversion to quantify and attribute climate change (Jupyter Notebook) published in the Environmental Data Science book</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftzenodo:oai:zenodo.org:8330771&Exemplar=1&LAN=DE A1 Domazetoski, Viktor A1 Zúñiga-González, Andrés A1 Allemang, Owen A1 This EDS book notebook contributors YR 2023 K1 Environmental Data Science K1 Modelling K1 Reproducibility Challenge JF https://github.com/eds-book-gallery/93463cac-471a-469d-ad52-0514fd9b67f2/tree/v1.0.1 LK http://dx.doi.org/https://zenodo.org/record/8330771 DO https://zenodo.org/record/8330771 SF ELIB - SuUB Bremen
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