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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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| Опубликовано в: : | Inverse Probl |
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| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
IOP Publishing
2021
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| Предметы: | |
| Online-ссылка: | 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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