Siyu Chen

Bayesian Residual Cascade for Uncertainty Quantification in Deep Regression

The Bayesian Residual Cascade is proposed, a deep regression architecture that treats residual connections themselves as stochastic regulators of uncertainty propagation and offers an architecture-integrated foundation for trustworthy deployment in safety-critical and resource-constrained applications such as structura...