Daniel Köglmayr

Causal Local States: Scalable Simultaneous Causal Network Inference and Forecasting for Dynamical Systems

Reconstruction of the underlying networks with high fidelity and forecasts on par with a model that is supplied with the true network are achieved, providing a step toward explainable and scalable forecasting of complex systems.