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1 Ergebnisse
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RG-Flow: a hierarchical and explainable flow model based on..:
Hu, Hong-Ye
;
Wu, Dian
;
You, Yi-Zhuang
..
Machine Learning: Science and Technology. 3 (2022) 3 - p. 035009 , 2022
Link:
https://doi.org/10.1088/2632-2153/ac8393
RT Journal T1 <Title>RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1088_2632-2153_ac8393&Exemplar=1&LAN=DE A1 Hu, Hong-Ye A1 Wu, Dian A1 You, Yi-Zhuang A1 Olshausen, Bruno A1 Chen, Yubei PB IOP Publishing YR 2022 SN 2632-2153 JF Machine Learning: Science and Technology VO 3 IS 3 SP 035009 LK http://dx.doi.org/https://doi.org/10.1088/2632-2153/ac8393 DO https://doi.org/10.1088/2632-2153/ac8393 SF ELIB - SuUB Bremen
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