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Youn-oh Cho

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#machine learning Preprint Sep 2026

Rethinking Cross-Channel Importance in Time-Series Forecasting

Cross-channel modeling is central to multivariate time-series forecasting, yet channels that are statistically related, predictively useful, and actually used by a trained forecaster are often treated as if they defined the same notion of importance. We show that they need not coincide. Cross-channel dependency structu...

Yong-Hoon Choi, Kwang-Hyun Park, Youn-oh Cho · 0 citations
#machine learning Preprint Aug 2026

Which Histories Matter for Time Series Forecasting? Learning Predictive Relevance with Future Supervision

Predictive Relevance Retrieval (PRR) combines Pearson retrieval with a futuresupervised predictive representation to expand candidate support, then reranks the union using statistical and learned pair relations to show that predictive relevance and forecast utility are empirically distinct objectives.

Yong-Hoon Choi, Kwang-Hyun Park, Youn-oh Cho · 0 citations

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