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Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Padmanabha, Govinda Anantha, Fuhg, Jan Niklas, Safta, Cosmin, Jones, Reese E., Bouklas, Nikolaos
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Computational Engineering, Finance, and Science
Accesso online:	Acceder al recurso
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