To explain a marked temporal point process prediction, CFF combines counterfactual and factual criteria and finds the smallest event subset that preserves the model's prediction.
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Learning Marked Temporal Point Process Explanations based on Counterfactual and Factual Reasoning
To explain a marked temporal point process prediction, CFF combines counterfactual and factual criteria and finds the smallest event subset that preserves the model's prediction.