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

L Kong, E Chen, Y Chen, Y Han - arxiv preprint arxiv:2410.20439, 2024 - arxiv.org
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 …