You're currently viewing an old version of this dataset. To see the current version, click here.

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.

Data and Resources

Cite this as

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

Additional Info

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