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In my aviation safety work, deep learning outperforms traditional non-DL models for multivariate time-series forecasting. Between deep learning models, I've had
by techwizrd 2y ago
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.
- theLiminator 2y agoWhat's your go-to model that generally performs well with little tuning?
- techwizrd 2y agoIf 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.
- montereynack 2y agoSeconding the other question, would be curious to know
- ramon156 2y agoNow take into account that it has to be lightweight and DL falls shirt
- nerdponx 2y agoWhat are you doing in aviation safety that requires time series modeling? Weather?
- all2 2y agoMy best guess would be accident occurrence prediction.
- deleted 2y ago[deleted]