3 papers
cs.AI2026
An Uncertainty-Aware Generalization Framework for Cardiovascular Image Segmentation
Ting Yu Tsai, Liangqiao Gui, Yineng Chen +8
Deep learning models have achieved significant success in segmenting cardiovascular structures, but there is a growing need to improve their generalization and robustness. Current…
stat.ME2025
Integral-Operator-Based Spectral Algorithms for Goodness-of-Fit Tests
Shiwei Sang, Shao-Bo Lin, Xuehu Zhu
The widespread adoption of the \emph{maximum mean discrepancy} (MMD) in goodness-of-fit testing has spurred extensive research on its statistical performance. However, recent studi…
cs.LG2025
Feature Qualification by Deep Nets: A Constructive Approach
Feilong Cao, Shao-Bo Lin
The great success of deep learning has stimulated avid research activities in verifying the power of depth in theory, a common consensus of which is that deep net are versatile in…