4 papers · 1 filter
Symbolic Graph Networks for Robust PDE Discovery from Noisy Sparse Data
Xingyu Chen, Junxiu An, Jun Guo +1
Data-driven discovery of partial differential equations (PDEs) offers a promising paradigm for uncovering governing physical laws from observational data. However, in practical sce…
Federated Conditional Conformal Prediction via Generative Models
Rui Xu, Xingyuan Chen, Wenxing Huang +4
Conformal Prediction (CP) provides distribution-free uncertainty quantification by constructing prediction sets that guarantee coverage of the true labels. This reliability makes C…
Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes
Xiaochen Zheng, Manuel Schürch, Xingyu Chen +5
The identification of phenotypes within complex diseases or syndromes is a fundamental component of precision medicine, which aims to adapt healthcare to individual patient charact…
Two-Stage Aggregation with Dynamic Local Attention for Irregular Time Series
Xingyu Chen, Xiaochen Zheng, Amina Mollaysa +3
Irregular multivariate time series data is characterized by varying time intervals between consecutive observations of measured variables/signals (i.e., features) and varying sampl…