Ibrahim Delibasoglu

Intervention-Aware Time Series Modeling: Capturing and Evaluating Feature Dependencies

Understanding how localized changes in one variable affect others in multivariate time series is essential for diagnostics and decision-making in complex systems. Existing models often fail to capture realistic inter-feature dynamics when simulating "what-if" scenarios, leading to inaccurate or unco