Inverse problems for structured datasets using parallel TAP equations and restricted Boltzmann machines

We propose an efficient algorithm to solve inverse problems in the presence of binary clustered datasets. We consider the paradigmatic Hopfield model in a teacher student scenario, where this situation is found in the retrieval phase. This problem has been widely analyzed through various methods suc...

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Detalles Bibliográficos
Autores principales: Decelle, Aurelien, Hwang, Sungmin, Rocchi, Jacopo, Tantari, Daniele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8497629/
https://www.ncbi.nlm.nih.gov/pubmed/34620934
http://dx.doi.org/10.1038/s41598-021-99353-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8497629/
https://www.ncbi.nlm.nih.gov/pubmed/34620934
http://dx.doi.org/10.1038/s41598-021-99353-2

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