Aug 2, 2023 · The way transformers calculate multi-head self-attention is problematic for time series. Because data points in a series must be multiplied by ...
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The model we will use is an encoder-decoder Transformer where the encoder part takes as input the history of the time series while the decoder part predicts the ...
Dec 4, 2023 · There are a couple of emerging transformers models designed for predicting time series values like the Informer and the Temporal Fusion ...
Yes, Transformers are Effective for Time Series Forecasting (+ ...
huggingface.co › blog › autoformer
Jun 16, 2023 · Firstly, we will provide empirical evidence that Transformers are indeed Effective for Time Series Forecasting. Our comparison shows that the ...
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