Author

Taesup Kim

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#machine learning Preprint Sep 2026

Towards Universal Representation-Based Process Control

This work views window-level monitoring as a process control problem and reformulates it as reference-based hypothesis testing, where the null hypothesis is specified by an empirical reference distribution rather than a fixed parametric model, and operationalizes this perspective through a representation-based, nonpara...

Jinmyeong Choi, Taesup Kim, Artur Dubrawski · 0 citations

#artificial intelligence Preprint Sep 2026

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.

Jinmyeong Choi, Jin-Kwan Jang, Seul Lee et al. · 0 citations