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A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties.
David J. Schodt
Ryan C. Brown
Michael Merritt
Samuel Park
Delsin Menolascino
Mark A. Peot
Published in:
CoRR (2024)
Keyphrases
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lightweight
neural network
variational inference
bayesian inference
wireless sensor networks
probabilistic model
maximum likelihood
posterior distribution
gaussian process
bayesian networks
pairwise
prior knowledge
mixture model
regression model
bayesian framework