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.