arXiv:2306.11313v5 Announce Type: replace-cross
Abstract: Point process models are widely used for continuous-time discrete-event data, where each data point includes time and additional information...
By Zheng Dong, Matthew Repasky, Xiuyuan Cheng, Yao Xie
arXiv:2606. 14313v1 Announce Type: cross Abstract: Real-world spatio-temporal forecasting must handle irregular time points, spatially sparse observations, and the need for uncertainty quantification.
By Jaeyeong Lee, Heeyoung Kim
arXiv:2603. 16943v2 Announce Type: replace-cross Abstract: Skeleton-based action recognition is widely applied in sensor-based systems, including human-computer interaction and intelligent surveillance.
By Yuhan Chen, Yicui Shi, Guofa Li, Liping Zhang, Jie Li, Jiaxin Gao, Wenbo Chu
arXiv:2509. 21996v3 Announce Type: replace-cross Abstract: Hawkes processes are used in settings where past events increase the likelihood of future events occurring, resulting in a natural clustering structure.
By Trinnhallen Brisley, Gordon Ross, Daniel Paulin
arXiv:2509. 24762v3 Announce Type: replace Abstract: Modeling event sequences of multiple event types with marked temporal point processes (MTPPs) provides a principled way to uncover governing dynamical rules and predict future events.
By David Berghaus, Patrick Seifner, Kostadin Cvejoski, C\'esar Ojeda, Rams\'es J. S\'anchez
arXiv:2609.06731v1 Announce Type: cross
Abstract: Temporal relation extraction determines whether an event occurs before, after, or simultaneously with another event, and therefore relies on accurate...
By Wei Sun, Tingyu Qu, Jesse Davis, Marie-Francine Moens