TEAFormers: TEnsor-Augmented Transformers for Multi-Dimensional Time Series Forecasting

Linghang Kong, Elynn Chen, Yuzhou Chen +1

Multi-dimensional time series data, such as matrix and tensor-variate time series, are increasingly prevalent in fields such as economics, finance, and climate science. Traditional…