3 papers
cs.LG2026
RepFlow: Representation Enhanced Flow Matching for Causal Effect Estimation
Yifei Xie, Jian Huang
Estimating causal effects from observational data has become increasingly critical in diverse fields including healthcare, economics, and social policy. The fundamental challenge i…
cs.LG2026
Towards Universal Gene Regulatory Network Inference: Unlocking Generalizable Regulatory Knowledge in Single-cell Foundation Models
Jiaxin Qi, Hang Li, Yan Cui +2
Gene Regulatory Network (GRN) inference is essential for understanding complex cellular mechanisms, rendered tractable through single-cell transcriptomic data. With the emergence o…
stat.ME2024
Deep Transformation Model
Tong Wang, Shunqin Zhang, Sanguo Zhang +2
There has been a significant recent surge in deep neural network (DNN) techniques. Most of the existing DNN techniques have restricted model formats/assumptions. To overcome their…