2026
Causal Structure Learning for Dynamical Systems with Theoretical Score Analysis
AAAI 2026technical
Real world systems evolve in continuous-time according to their underlying causal relationships, yet their dynamics are often unknown. Existing approaches to learning such dynamics typically either discretize time ---leading to poor performance on irregularly sampled data--- or ignore the underlying