multivariate time series
- Channel Matters: Estimating Channel Influence for Multivariate Time Series
- Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises
- Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation
- Multivariate Time Series Anomaly Detection with Idempotent Reconstruction
- PhysDiff: A Physically-Guided Diffusion Model for Multivariate Time Series Anomaly Detection
- SGN: Shifted Window-Based Hierarchical Variable Grouping for Multivariate Time Series Classification
- Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection