3 papers
cs.LG2026
Pseudo-Label-Triggered Retraining from Forecast Errors for Online Time Series Forecasting
Yeryeong Kwak, Yoo-Min Jung, Jonghun Park
Real-world time series forecasting systems operate under non-stationary data streams, where forecasting performance may degrade over time. Although retraining can recover the perfo…
cs.LG2026
MASCIT: A Mask-Aware State Space Classifier for Naturally Irregular Time Series
Yoo-Min Jung, Hyeon-Gi Kim, Jonghun Park
Naturally irregular time series combine asynchronous observations, missing values, unequal lengths, and nonuniform sampling, while dense adapters can discard temporal structure. We…
cs.LG2026
MambaSL: Exploring Single-Layer Mamba for Time Series Classification
Yoo-Min Jung, Leekyung Kim
Despite recent advances in state space models (SSMs) such as Mamba across various sequence domains, research on their standalone capacity for time series classification (TSC) has r…