
A simple yet effective approach for propagating statistical moments through arbitrary nonlinearities with only 3 deterministic samples, enabling few-sample variational inference of Bayesian Neural Networks without restricting the set of network layers used.


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efficient-bayesian-neural-network-inference-with-arbitrary-nonlinearities-using-the-unscented-transform


Efficient Bayesian Neural Network Inference with Arbitrary Nonlinearities Using the Unscented Transform
