Research

Scalable AI Uncertainty Quantification via Generalized Laplace Active Subspaces

Single source1 source9 Oct 2026

arXiv:2610.11738v1 Announce Type: new Abstract: Reliable uncertainty quantification (UQ) is essential for deploying neural networks in scientific and high-stakes applications, but full Bayesian inference over the network parameters is computationally infeasibl

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arxiv.orghttps://arxiv.org/abs/2610.11738

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