Autoformer and PatchTST outperform Informer across synthetic forecasting benchmarks, while a proposed Koopman-Transformer hybrid is illustrated on Van der Pol and Lorenz systems.
Unveiling the multi- dimensional spatio-temporal fusion transformer (mdstft): A revolution- ary deep learning framework for enhanced multi-variate time series forecasting,
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Synthetic Time Series Forecasting with Transformer Architectures: Extensive Simulation Benchmarks
Autoformer and PatchTST outperform Informer across synthetic forecasting benchmarks, while a proposed Koopman-Transformer hybrid is illustrated on Van der Pol and Lorenz systems.