3 papers
cs.LG2025
RED-F: Reconstruction-Elimination based Dual-stream Contrastive Forecasting for Multivariate Time Series Anomaly Prediction
PengYu Chen, Xiaohou Shi, Yuan Chang +2
Anomaly prediction (AP) in multivariate time series (MTS) is crucial to ensure system dependability. Existing methods either focus solely on whether an anomaly is imminent without…
cs.LG2025
Time Tracker: Mixture-of-Experts-Enhanced Foundation Time Series Forecasting Model with Decoupled Training Pipelines
Aobo Liang, Yan Sun, Xiaohou Shi +1
In the past few years, time series foundation models have achieved superior predicting accuracy. However, real-world time series often exhibit significant diversity in their tempor…
cs.LG2024
WaveRoRA: Wavelet Rotary Route Attention for Multivariate Time Series Forecasting
Aobo Liang, Yan Sun, Nadra Guizani
In recent years, Transformer-based models (Transformers) have achieved significant success in multivariate time series forecasting (MTSF). However, previous works focus on extracti…