1 citations · 1 across the 4 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.LG2025
Deep Survival Analysis for Competing Risk Modeling with Functional Covariates and Missing Data Imputation
Penglei Gao, Yan Zou, Abhijit Duggal +3
We introduce the Functional Competing Risk Net (FCRN), a unified deep-learning framework for discrete-time survival analysis under competing risks, which seamlessly integrates func…
stat.ML2025
Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference
Frank Shih, Zhenghao Jiang, Faming Liang
Uncertainty quantification (UQ) in scientific machine learning is increasingly critical as neural networks are widely adopted to tackle complex problems across diverse scientific d…