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Dependence between Bayesian neural network units
The connection between Bayesian neural networks and Gaussian processes gained a lot of attention in the last few years, with the flagship result that hidden units converge to a Gaussian process limit when the layers width tends to infinity.
Bayesian neural network unit priors and generalized Weibull-tail property
The connection between Bayesian neural networks and Gaussian processes gained a lot of attention in the last few years.
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