2 papers
cs.LG2026
OpenTSLM TeeMoE: A Unified Time-Series Language Model for Forecasting, Contextual Prediction, and Reasoning
Tony Chen, Timo Stoffregen, Maxwell Xu +8
Real-world time-series applications increasingly require models that can handle time series forecasting, context-conditioned prediction, and language-based temporal reasoning. Yet…
cs.LG2026
A Hierarchical Ensemble Pipeline for Anomaly Detection in ESA Satellite Telemetry
Lorenzo Riccardo Allegrini, Geremia Pompei
A hierarchical ensemble pipeline is introduced to address anomaly detection in multivariate telemetry data provided by European Space Agency (ESA). The method integrates shapelet-b…