Search Results for author:
Found 4 papers, 1 papers with code
Deconfounding Time Series Forecasting
Time series forecasting is a critical task in various domains, where accurate predictions can drive informed decision-making.
Causal GNNs: A GNN-Driven Instrumental Variable Approach for Causal Inference in Networks
As network data applications continue to expand, causal inference within networks has garnered increasing attention.
An Integrated Framework Integrating Monte Carlo Tree Search and Supervised Learning for Train Timetabling Problem
The single-track railway train timetabling problem (TTP) is an important and complex problem.
Train Your Data Processor: Distribution-Aware and Error-Compensation Coordinate Decoding for Human Pose Estimation
Recently, the leading performance of human pose estimation is dominated by heatmap based methods.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
