An Early Stopping Bayesian Data Assimilation Approach for Mixed-Logit Estimation. - Shanshan Xie; Tim Hillel; Ying Jin (CoRR, 2021)

DATGAN: Integrating expert knowledge into deep learning for synthetic tabular data. - Gael Lederrey; Tim Hillel; Michel Bierlaire (CoRR, 2022)

ciDATGAN: Conditional Inputs for Tabular GANs. - Gael Lederrey; Tim Hillel; Michel Bierlaire (CoRR, 2022)

A prediction and behavioural analysis of machine learning methods for modelling travel mode choice. - José Ángel Martín-Baos; Julio Alberto López-Gómez; Luis Rodriguez-Benitez; Tim Hillel; Ricardo García-Ródenas (CoRR, 2023)

RUMBoost: Gradient Boosted Random Utility Models. - Nicolas Salvadé; Tim Hillel (CoRR, 2024)

Modelling Activity Scheduling Behaviour with Deep Generative Machine Learning. - Fred Shone; Tim Hillel (CoRR, 2025)