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pro vyhledávání: '"Huminhao Zhu"'
Publikováno v:
Entropy, Vol 26, Iss 8, p 679 (2024)
Particle-based Variational Inference (ParVI) methods have been widely adopted in deep Bayesian inference tasks such as Bayesian neural networks or Gaussian Processes, owing to their efficiency in generating high-quality samples given the score of the
Externí odkaz:
https://doaj.org/article/714a426651914ca886bf84b30db7b4fa
