GitHub - OxCSML-BayesNP/mogp: Code to reproduce the experiments of the paper: "Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility"

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Code to reproduce the experiments of the paper: "Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility"

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commits
fully_bayesian		fully_bayesian
illustrative_example		illustrative_example
penalization		penalization
fashion_train_bayes_models.py		fashion_train_bayes_models.py
fast_mnist.py		fast_mnist.py
mnist_train_bayes_models.py		mnist_train_bayes_models.py
sampling_utils.py		sampling_utils.py
simulationmodel.py		simulationmodel.py

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Code to reproduce the experiments of the paper: "Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility"

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