#machine learning
Nov 2025
A multi-view contrastive learning framework for spatial embeddings in risk modelling
The embeddings consistently improve predictive accuracy across generalised linear, additive, and boosting models, while providing post-hoc explainable spatial effects and demonstrating generalisation of the fitted spatial effects to regions without training observations.
Freek Holvoet, Christopher Blier-Wong, Katrien Antonio
· arXiv.org · 1 citation