Abstract: This paper presents a method to integrate causal inference into deep learning for time series forecasting. We consider time series for complex systems characterized by non-linear dynamics, ...

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Abstract: Moving average filters output the average of N samples, and it is easy to see (and to prove) that they are low-pass filters.