most citedDeep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.LG2022★ 6 cited

Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting

Tanwi Mallick, Prasanna Balaprakash, Jane Macfarlane

Deep-learning-based data-driven forecasting methods have produced impressive results for traffic forecasting. A major limitation of these methods, however, is that they provide for…