3 papers
stat.ML2026
Coarsening Linear Non-Gaussian Causal Models with Cycles
Francisco Madaleno, Francisco C Pereira, Alex Markham
Recent work on causal abstraction, in particular graphical approaches focusing on causal structure between clusters of variables, aims to summarize a high-dimensional causal struct…
cs.AI2026
SemaPop: Semantic-Persona Conditioned and Controllable Population Synthesis
Zhenlin Qin, Yancheng Ling, Leizhen Wang +2
Population synthesis is essential for individual-level simulation in transport planning and socio-economic analysis, yet remains challenging due to the need to capture both statist…
cs.CL2025
A Foundational Individual Mobility Prediction Model based on Open-Source Large Language Models
Zhenlin Qin, Leizhen Wang, Yancheng Ling +2
Individual mobility prediction plays a key role in urban transport, enabling personalized service recommendations and effective travel management. It is widely modeled by data-driv…