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Equivariant neural networks for inverse problems

In recent years the use of convolutional layers to encode an inductive bias (translational equivariance) in neural networks has proven to be a very fruitful idea. The successes of this approach have motivated a line of research into incorporating other symmetries into deep learning methods, in the f...

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Detalles Bibliográficos
Publicado en:Inverse Probl
Main Authors: Celledoni, Elena, Ehrhardt, Matthias J, Etmann, Christian, Owren, Brynjulf, Schönlieb, Carola-Bibiane, Sherry, Ferdia
Formato: Artigo
Idioma:Inglês
Publicado: IOP Publishing 2021
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC8317019/
https://ncbi.nlm.nih.gov/pubmed/34334869
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1361-6420/ac104f
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