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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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| Pubblicato in: | Inverse Probl |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IOP Publishing
2021
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| Soggetti: | |
| Accesso online: | 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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