2025
Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows
NeurIPS 2025poster
Quantifying uncertainty in deep regression models is important both for understanding the confidence of the model and for safe decision-making in high-risk domains. Existing approaches that yield prediction intervals overlook distributional information, neglecting the effect of multimodal or asymmet…