Wang-Tao Zhou

ITPP: Learning Disentangled Event Dynamics in Marked Temporal Point Processes

Marked Temporal Point Processes (MTPPs) provide a principled framework for modeling asynchronous event sequences by conditioning on the history of past events. However, most existing MTPP models rely on channel-mixing strategies that encode information from different event types into a single, fixed