Re:XLSTMTime: Long-Term Time Series Forecasting with xLSTM
by techwizrd on Tuesday July 16, 2024 @02:27PM
(#40978995)
In my aviation safety work, deep learning outperforms traditional non-DL models for multivariate time-series forecasting. Between deep learning models, I've had a wide variance in performance between transformers, Bi-LSTMs, regular MLPs, VAEs, and so on.
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Re:XLSTMTime: Long-Term Time Series Forecasting with xLSTM
by montereynack on Tuesday July 16, 2024 @03:43PM
(#40979619)
Seconding the other question, would be curious to know
Re:XLSTMTime: Long-Term Time Series Forecasting with xLSTM
by theLiminator on Tuesday July 16, 2024 @02:35PM
(#40979055)
What's your go-to model that generally performs well with little tuning?
Re:XLSTMTime: Long-Term Time Series Forecasting with xLSTM
by techwizrd on Tuesday July 16, 2024 @04:13PM
(#40979886)
If you have short time-series with low variance, noise and outliers, strong prior knowledge, or limited resources to train and maintain a model, I would stick with simpler traditional models.
If DL is a good fit for your use-case, then I tend to like transformers or combining CNNs with recurrent models (e.g., BiGRU, GRU, BiLSTM, LSTM) and optional attention.
Re:XLSTMTime: Long-Term Time Series Forecasting with xLSTM
by ramon156 on Tuesday July 16, 2024 @06:18PM
(#40980842)
Now take into account that it has to be lightweight and DL falls shirt