arXiv cs.LG
· Papers
Causal Discovery with Inverted Self-attention for Multivariate Time Series
arXiv:2607.28212v1 Announce Type: cross Abstract: Causal discovery in multivariate time series data is challenging due to complex interactions, high dimensionality, and nonlinear dependencies among variables. Existing methods often struggle to capture these complexities, resulting in inaccurate causal structures. To ad