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Open access 2026

Bayesian Residual Cascade for Uncertainty Quantification in Deep Regression

Uncertainty quantification in deep regression is still dominated by post-hoc sampling or layer-wise Bayesian parameterization, while the residual pathways that govern information flow across depth usually remain deterministic. This paper proposes the Bayesian Residual Cascade (BRC), a deep regression architecture that...

Siyu Chen, Wencan Guan · 0 citations

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