most citedTemporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting

83 citations · 83 across the 1 of their papers we have counts for

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stat.ML2019★ 83 cited

Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting

Bryan Lim, Sercan O. Arik, Nicolas Loeff +1

Multi-horizon forecasting problems often contain a complex mix of inputs -- including static (i.e. time-invariant) covariates, known future inputs, and other exogenous time series…