Full-Covariance Smoothing of Bayesian Neural Networks for Online Adaptation
A one-step-per-layer smoother that approximates as Gaussian only each layer's affine output is derived that applies both to deterministic systems with noisy observations and to stochastic systems described by output statistics.
Oren Wright, Hao-Ming Jing, Qiao-An Shen et al.
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