Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes

A novel deep spatio-temporal point process model, Deep Kernel Mixture Point Processes (DKMPP), that incorporates multimodal covariate information and captures complex relationships between events and covariate data by utilizing a more flexible deep kernel leading to improved expressiveness.

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Yixuan Zhang, Quyu Kong, Feng Zhou (2024). Dataset: Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes. https://doi.org/10.57702/c7wqten7

DOI retrieved: December 16, 2024

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2310.05485
Author Yixuan Zhang
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Quyu Kong
Feng Zhou