Uncovering life-course patterns with causal discovery and survival analysis. - Bojan Kostic; Romain Crastes dit Sourd; Stephane Hess; Joachim Scheiner; Christian Holz-Rau; Francisco C. Pereira (CoRR, 2020)

Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark. - Shenhao Wang; Baichuan Mo; Stephane Hess; Jinhua Zhao (CoRR, 2021)

Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularization. - Siqi Feng; Rui Yao; Stephane Hess; Ricardo A. Daziano; Timothy Brathwaite; Joan Walker; Shenhao Wang (CoRR, 2024)

Understanding the decision-making process of choice modellers. - Gabriel Nova; Sander van Cranenburgh; Stephane Hess (CoRR, 2024)

Improving choice model specification using reinforcement learning. - Gabriel Nova; Sander van Cranenburgh; Stephane Hess (CoRR, 2025)

Can large language models assist choice modelling? Insights into prompting strategies and current models capabilities. - Georges Sfeir; Gabriel Nova; Stephane Hess; Sander van Cranenburgh (CoRR, 2025)