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Found 2 papers, 2 papers with code
Spatio-temporal neural structural causal models for bike flow prediction
In addition, due to the disturbance of incomplete observations in the data, random contextual conditions lead to spurious correlations between data and features, making the prediction of the model ineffective in special scenarios.
Causal conditional hidden Markov model for multimodal traffic prediction
Recent works overemphasize spatio-temporal correlations of traffic flow, ignoring the physical concepts that lead to the generation of observations and their causal relationship.
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