Toto is a foundation model for multivariate time series forecasting with a focus on observability metrics. Toto 2.0 is the current recommended release, featuring a family of u-μP-scaled models ranging ...
Abstract: Multivariate time series anomaly detection is crucial in sensitive domains such as cybersecurity and grid monitoring, significantly contributing to the reliability and safety of system ...
Abstract: This study introduces an innovative air quality prediction model, TD-CS-Transformer, which fuses time series decomposition and convolutional sparse self-attention Transformer model. It ...