Jin-Kwan Jang

Interweaving Marginals into Multivariate Sample Paths: Training-Free Dependence Construction for Probabilistic Time Series Foundation Models

This work studies training-free coupling of frozen TSFM marginals into multivariate forecast sample paths, finding the same pattern persists when the fixed-marginal constraint is removed and paths are sampled directly, and remains present under native multivariate backbone inference.