CUPID: A Plug-in Framework for Joint Aleatoric and Epistemic Uncertainty Estimation with a Single Model

Researchers introduce CUPID, a plug-in framework that estimates both aleatoric and epistemic uncertainty in deep learning models without requiring model retraining. The modular approach can be inserted into any layer of pretrained networks and provides interpretable uncertainty analysis for high-stakes AI applications.