3 papers
econ.EM2026
Combine and conquer: model averaging for out-of-distribution forecasting
Stephane Hess, Sander van Cranenburgh
Travel behaviour modellers have an increasingly diverse set of models at their disposal, ranging from traditional econometric structures to models from mathematical psychology and…
cs.RO2026
Learning collision risk proactively from naturalistic driving data at scale
Yiru Jiao, Simeon C. Calvert, Sander van Cranenburgh +1
Accurately and proactively alerting drivers or automated systems to emerging collisions is crucial for road safety, particularly in highly interactive and complex urban environment…
cs.LG2025
Structure-preserving contrastive learning for spatial time series
Yiru Jiao, Sander van Cranenburgh, Simeon Calvert +1
The effectiveness of neural network models largely relies on learning meaningful latent patterns from data, where self-supervised learning of informative representations can enhanc…