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Found 2 papers, 2 papers with code
Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point Processes
A primary objective is to generate a distribution-free joint prediction region for the arrival time and mark, with a finite-sample marginal coverage guarantee.
On the Predictive Accuracy of Neural Temporal Point Process Models for Continuous-time Event Data
To bridge this gap, we present a comprehensive large-scale experimental study that systematically evaluates the predictive accuracy of state-of-the-art neural TPP models.
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