3 papers
cs.LG2026
TraXion: Rethinking Pre-training Frameworks for Mobility and Beyond
Shang-Ling Hsu, Mark Tenzer, Cyrus Shahabi +1
Human mobility differs from text and from generic time series in three structural ways: visits are tuple-valued events whose meaning depends on the joint distribution over location…
cs.LG2022
Learning Citywide Patterns of Life from Trajectory Monitoring
Mark Tenzer, Zeeshan Rasheed, Khurram Shafique
The recent proliferation of real-world human mobility datasets has catalyzed geospatial and transportation research in trajectory prediction, demand forecasting, travel time estima…
cs.LG2022
Meta-Learning over Time for Destination Prediction Tasks
Mark Tenzer, Zeeshan Rasheed, Khurram Shafique +1
A need to understand and predict vehicles' behavior underlies both public and private goals in the transportation domain, including urban planning and management, ride-sharing serv…