MQTransformer: Multi-Horizon Forecasts with Context Dependent and Feedback-Aware Attention

Recent advances in neural forecasting have produced major improvements in accuracy for probabilistic demand prediction. In this work, we propose novel improvements to the current state of the art by incorporating changes inspired by recent advances in Transformer architectures for Natural Language Processing... (read more)

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