{"ok":true,"article":{"slug":"tracing-sources-of-epistemic-uncertainty-in-deep-learning-predictions-homo-and-h-621f4405","title":"Tracing sources of epistemic uncertainty in deep learning predictions: homo- and hetero-scedastic linearized estimators","url":"https://arxiv.org/abs/2608.07630","canonical":"https://www.aimode.news/article/tracing-sources-of-epistemic-uncertainty-in-deep-learning-predictions-homo-and-h-621f4405","sourceName":"arXiv cs.LG","summary":"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 to two sources : aleatoric uncertainty, or locally scarce data. Our approach leverages recent advances in…","category":"AI","image":"https://static.arxiv.org/icons/twitter/arxiv-logo-twitter-square.png","lang":"en","publishedAt":"2026-08-11T04:00:00+00:00","createdAt":"2026-08-11T19:09:30.456448+00:00"}}