Mask2Cause: Temporal Causal Discovery Beyond Causality in Mean

One approach to discovering causal relationships in multivariate time series is to ask whether a variable's history improves prediction of another variable. When this improvement is measured solely by reductions in optimal squared error, the criterion misses relationships that affect the target's co