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Layer wise Scaled Gaussian Priors for Markov Chain Monte Carlo Sampled deep Bayesian neural networks

Previous work has demonstrated that initialization is very important for both fitting a neural network by gradient descent methods, as well as for Variational inference of Bayesian neural networks. In this work we investigate how Layer wise Scaled Gaussian Priors perform with Markov Chain Monte Carl...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Devesh Jawla, John Kelleher
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2025-04-01
Schriftenreihe:Frontiers in Artificial Intelligence
Schlagworte:
Bayesian neural network (BNN)
Markov Chain Monte Carlo (MCMC)
deep learning artificial intelligence
neural network
Bayesian inference (BI)
Online-Zugang:https://www.frontiersin.org/articles/10.3389/frai.2025.1444891/full
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