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.
Jonas Braun, Fabian Fischbach, Daniel Köglmayr et al.
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