Abstract: The heterogeneous nature of contemporary software, comprising components like closed-source libraries, embedded assembly snippets, and modules written in multiple programming languages, ...

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, ...