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Deep unfolding of MCMC kernels: scalable, modular & explainable GANs for high-dimensional posterior sampling

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Spence, Jonathan, Liaudat, Tobías I., Zygalakis, Konstantinos, Pereyra, Marcelo
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning 65C60, 62F15
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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