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Deep Network Regularization via Bayesian Inference of Synaptic Connectivity
Deep neural networks (DNNs) often require good regularizers to generaliz...
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A Nonparametric Bayesian Approach Toward Stacked Convolutional Independent Component Analysis
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Mixture Gaussian Process Conditional Heteroscedasticity
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