2026
CONFORMAL INFERENCE FOR TIME SERIES OVER GRAPHS
ICASSP 2026oral
Trustworthy decision making in networked, dynamic environments calls for innovative uncertainty quantification substrates in predictive models for graph time series. Existing conformal prediction (CP) methods have been applied separately to multivariate time series and static graphs, but they either…