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Stochastic Port-Hamiltonian Neural Networks: Universal Approximation with Passivity Guarantees

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Di Persio, Luca, Ehrhardt, Matthias, Outaleb, Youness
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Probability
Accesso online:	Acceder al recurso
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