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Uncertainty propagation in auto-regressive random neural network models

This story is from 2026-08-24. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2608.20483v1 Announce Type: new Abstract: We develop analytical and particle-based methods for uncertainty propagation in random neural network models, where both the inputs and network parameters are allowed to be random. Building on the piecewise-linear structure of the Leaky ReLU activatio…

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  1. 2026-08-24 04:00 · arXiv stat.ML
    Uncertainty propagation in auto-regressive random neural network models

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