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cs.LG2026
Hierarchical Self-Supervised Representation Learning Framework for Multivariate Time Series Grounded in ECG Analysis
Siwon Kim
The paper introduces ER-JEPA, a lightweight self‑supervised learning framework that builds hierarchical representations for multivariate time‑series data, demonstrated on 12‑lead E…
cs.LG2025
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation
HyunGi Kim, Siwon Kim, Jisoo Mok +1
Deep Neural Networks have spearheaded remarkable advancements in time series forecasting (TSF), one of the major tasks in time series modeling. Nonetheless, the non-stationarity of…