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stat.ML2023★ 1 cited
Piecewise Deterministic Markov Processes for Bayesian Neural Networks
Ethan Goan, Dimitri Perrin, Kerrie Mengersen +1
Inference on modern Bayesian Neural Networks (BNNs) often relies on a variational inference treatment, imposing violated assumptions of independence and the form of the posterior.…
stat.ML2020★ 205 cited
Bayesian Neural Networks: An Introduction and Survey
Ethan Goan, Clinton Fookes
Neural Networks (NNs) have provided state-of-the-art results for many challenging machine learning tasks such as detection, regression and classification across the domains of comp…