XCTFormer: Leveraging Cross-Channel and Cross-Time Dependencies for Enhanced Time-Series Analysis

ArXi:2605.18534v1 Announce Type: new Multivariate time-series analysis involves extracting informative representations from sequences of multiple interdependent variables, ing tasks such as forecasting, imputation, and anomaly detection. In real-world scenarios, these variables are typically collected from a shared context or underlying phenomenon, suggesting the presence of latent dependencies across time and channels that can be leveraged to improve performance.