This notebook implements an encoder-decoder model with attention as described here. Here is a diagram showing an attention-based NMT system as described in Luong's paper. The attention computation ...

Accurate traffic flow forecasting is crucial for managing and planning urban transportation systems. Despite the widespread use of sequence modelling models like Long Short-Term Memory (LSTM) for this ...

global_information_extractor: This model is trained using a transformer encoder and decoder architecture, based on the configuration specified in Donut, to extract the overall summary of block diagram ...

Multi-step ahead runoff forecasting through quantile-based encoder-decoder models [Conference presentation]. HydroML symposium, Online. Recent Presentations. An integrated probabilistic deep learning ...