Deep Continuous-Time State-Space Models for Marked Event Sequences

NeurIPSSpotlight2025

Authors
Yuxin Chang, Alex James Boyd, Cao Xiao, Taha Kass-Hout, Parminder Bhatia, Padhraic Smyth, Andrew Warrington
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Marked temporal point processes (MTPPs) model sequences of events occurring at irregular time intervals, with wide-ranging applications in fields such as healthcare, finance and social networks…

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