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...