Juan Lin

Attention‐Guided Causal Structure Learning With Gated Feature Fusion

Causal discovery, also referred to as causal structure learning, aims to identify causal relationships among variables from observational data and represent them as a directed acyclic graph (DAG). Existing differentiable causal discovery methods alleviate the difficulty of structural search through continuous optimizat...