Gradient-based Causal Structure Learning with Normalizing Flow. - Xiongren Chen (CoRR, 2020)

Physical System for Non Time Sequence Data. - Xiongren Chen (CoRR, 2020)

Improve interpretability of Information Bottlenecks for Attribution with Layer-wise Relevance Propagation. - Xiongren Chen; Jiuyong Li; Jixue Liu; Stefan Peters; Lin Liu 003; Thuc Duy Le; Anthony Walsh (IEEE Big Data, 2023)

Estimating Peer Direct and Indirect Effects in Observational Network Data. - Xiaojing Du; Jiuyong Li; Debo Cheng; Lin Liu 003; Wentao Gao; Xiongren Chen (CoRR, 2024)

A Deconfounding Approach to Climate Model Bias Correction. - Wentao Gao; Jiuyong Li; Debo Cheng; Lin Liu 003; Jixue Liu; Thuc Duy Le; Xiaojing Du; Xiongren Chen; Yanchang Zhao; Yun Chen 010 (CoRR, 2024)

Causal GNNs: A GNN-Driven Instrumental Variable Approach for Causal Inference in Networks. - Xiaojing Du; Feiyu Yang; Wentao Gao; Xiongren Chen (CoRR, 2024)

Deconfounding Time Series Forecasting. - Wentao Gao; Feiyu Yang; Mengze Hong; Xiaojing Du; Zechen Hu; Xiongren Chen; Ziqi Xu 001 (CoRR, 2024)

Diffusion Models for Attribution. - Xiongren Chen; Jiuyong Li; Jixue Liu; Lin Liu 003; Stefan Peters; Thuc Duy Le; Wentao Gao; Xiaojing Du; Anthony Walsh (AAAI, 2025)