2026
Weight Entropy-Maximised Evidential Metamodel for Uncertainty Quantification (Student Abstract)
AAAI 2026technical
Reliable uncertainty quantification (UQ) is crucial for deploying deep learning models in safety-critical domains. Existing UQ methods often either rely on multi-pass inference, which increases computational cost, or restrict expressiveness by using only final-layer embeddings. In this work, we prop