3 papers
stat.AP2025
Tides Need STEMMED: A Locally Operating Spatio-Temporal Mutually Exciting Point Process with Dynamic Network for Improving Opioid Overdose Death Prediction
Che-Yi Liao, Gian-Gabriel P. Garcia, Kamran Paynabar +3
We develop a Spatio-TEMporal Mutually Exciting point process with Dynamic network (STEMMED), i.e., a point process network wherein each node models a unique community-drug event st…
stat.ML2025
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes
Zheng Dong, Zekai Fan, Shixiang Zhu
Point processes offer a versatile framework for sequential event modeling. However, the computational challenges and constrained representational power of the existing point proces…
stat.ML2024
Deep graph kernel point processes
Zheng Dong, Matthew Repasky, Xiuyuan Cheng +1
Point process models are widely used for continuous asynchronous event data, where each data point includes time and additional information called "marks", which can be locations,…