3 papers
stat.AP2025
Neural Tangent Kernels for Complex Genetic Risk Prediction: Bridging Deep Learning and Kernel Methods in Genomics
Heng Ge, Qing Lu
Given the complexity of genetic risk prediction, there is a critical need for the development of novel methodologies that can effectively capture intricate genotype--phenotype rela…
stat.ME2025
DiffKnock: Diffusion-based Knockoff Statistics for Neural Networks Inference
Heng Ge, Qing Lu
We introduce DiffKnock, a diffusion-based knockoff framework for high-dimensional feature selection with finite-sample false discovery rate (FDR) control. DiffKnock addresses two k…
cs.LG2024
TrajGPT: Irregular Time-Series Representation Learning for Health Trajectory Analysis
Ziyang Song, Qingcheng Lu, He Zhu +2
In many domains, such as healthcare, time-series data is often irregularly sampled with varying intervals between observations. This poses challenges for classical time-series mode…