Possibilistic Predictive Uncertainty for Deep Learning
arXiv:2605.00600v1 Announce Type: cross
Abstract: Deep neural networks achieve impressive results across diverse applications, yet their overconfidence on unseen inputs necessitates reliable epistemic uncertainty modelling. Existing methods for uncert…