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

Abstract 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 me...

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Autores principales: Aurelien Decelle, Sungmin Hwang, Jacopo Rocchi, Daniele Tantari
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/89bc6fdcef6349f9af24896d9e340420
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