TMLR

It depends: Incorporating correlations for joint aleatoric and epistemic uncertainties of high-dimensional output spaces

视情况而定：纳入高维输出空间的偶然不确定性与认知不确定性的相关性

Leonhard F. Feiner, Manuel Nickel, Martin Menten, Laurin Lux, Rickmer Braren, Daniel Rueckert, Georgios Kaissis, Raphael Rehms, Johannes Paetzold

AI总结 该研究针对高维输出空间的深度学习，提出低秩加对角协方差结构的联合不确定性建模方法，实现偶然与认知不确定性的统一，在多项视觉任务中提升了不确定性量化效果。

Comments Published in Transactions on Machine Learning Research (TMLR), 2026. 42 pages, 14 figures, 10 tables. this https URL (https://openreview.net/forum?id=zw5EuUnBny)