Jiarui Liang

Learning Coupled Continuous-Time Latent Dynamics from Irregular Events

Modeling dynamic dependencies from irregularly sampled event sequences is a fundamental challenge in modern machine learning. In many real-world systems, individual-level states evolve continuously over time while being simultaneously influenced by population-level distributional dynamics. However, …