3 papers
cs.LG2025
ITPP: Learning Disentangled Event Dynamics in Marked Temporal Point Processes
Wang-Tao Zhou, Zhao Kang, Ke Yan +1
Marked Temporal Point Processes (MTPPs) provide a principled framework for modeling asynchronous event sequences by conditioning on the history of past events. However, most existi…
cs.LG2025
Fine-grained Spatio-temporal Event Prediction with Self-adaptive Anchor Graph
Wang-Tao Zhou, Zhao Kang, Sicong Liu +2
Event prediction tasks often handle spatio-temporal data distributed in a large spatial area. Different regions in the area exhibit different characteristics while having latent co…
cs.LG2023
Non-Autoregressive Diffusion-based Temporal Point Processes for Continuous-Time Long-Term Event Prediction
Wang-Tao Zhou, Zhao Kang, Ling Tian
Continuous-time long-term event prediction plays an important role in many application scenarios. Most existing works rely on autoregressive frameworks to predict event sequences,…