3 papers
cs.LG2025
Non-stationary Diffusion For Probabilistic Time Series Forecasting
Weiwei Ye, Zhuopeng Xu, Ning Gui
Due to the dynamics of underlying physics and external influences, the uncertainty of time series often varies over time. However, existing Denoising Diffusion Probabilistic Models…
cs.LG2024
Ordering-Based Causal Discovery for Linear and Nonlinear Relations
Zhuopeng Xu, Yujie Li, Cheng Liu +1
Identifying causal relations from purely observational data typically requires additional assumptions on relations and/or noise. Most current methods restrict their analysis to dat…
cs.LG2023
Multi-View Graph Representation Learning Beyond Homophily
Bei Lin, You Li, Ning Gui +2
Unsupervised graph representation learning(GRL) aims to distill diverse graph information into task-agnostic embeddings without label supervision. Due to a lack of support from lab…