Predictions from a Bayesian neural network depend mainly on the means and variances of its weight distributions, not their shape, allowing analog hardware to use device noise as-is.
Stochastic memory devices for security and computing
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Analog Bayesian neural networks are insensitive to the shape of the weight distribution
Predictions from a Bayesian neural network depend mainly on the means and variances of its weight distributions, not their shape, allowing analog hardware to use device noise as-is.