Tracing sources of epistemic uncertainty in deep learning predictions with homo- and heteroscedastic linearized estimators
Read the original at arxiv.org→arXiv:2608.07630v1 Announce Type: new Abstract: We adapt two classical statistical estimators for quantifying uncertainty to modern deep learning, in order to provide clearer insights into uncertainty attributable...
Original headline: "Tracing sources of epistemic uncertainty in deep learning predictions: homo- and hetero-scedastic linearized estimators"
Coverage timeline
- Aug 11, 04:00 UTC arXiv cs.LG lead source Tracing sources of epistemic uncertainty in deep learning predictions: homo- and hetero-scedastic linearized estimators