2 papers
stat.AP2025
Quality-Ensured In-Situ Process Monitoring with Deep Canonical Correlation Analysis
Xiaoyang Song, Wenbo Sun, Metin Kayitmazbatir +2
This paper proposes a deep learning-based approach for in-situ process monitoring that captures nonlinear relationships between in-control high-dimensional process signature signal…
stat.ML2024
Uncertainty-Aware Out-of-Distribution Detection with Gaussian Processes
Yang Chen, Chih-Li Sung, Arpan Kusari +2
Deep neural networks (DNNs) are often constructed under the closed-world assumption, which may fail to generalize to the out-of-distribution (OOD) data. This leads to DNNs producin…