16 citations · 33 across the 4 of their papers we have counts for
4 papers
ciDATGAN: Conditional Inputs for Tabular GANs
Gael Lederrey, Tim Hillel, Michel Bierlaire
Conditionality has become a core component for Generative Adversarial Networks (GANs) for generating synthetic images. GANs are usually using latent conditionality to control the g…
DATGAN: Integrating expert knowledge into deep learning for synthetic tabular data
Gael Lederrey, Tim Hillel, Michel Bierlaire
Synthetic data can be used in various applications, such as correcting bias datasets or replacing scarce original data for simulation purposes. Generative Adversarial Networks (GAN…
An Early Stopping Bayesian Data Assimilation Approach for Mixed-Logit Estimation
Shanshan Xie, Tim Hillel, Ying Jin
The mixed-logit model is a flexible tool in transportation choice analysis, which provides valuable insights into inter and intra-individual behavioural heterogeneity. However, app…
Estimation of discrete choice models with hybrid stochastic adaptive batch size algorithms
Gael Lederrey, Virginie Lurkin, Tim Hillel +1
The emergence of Big Data has enabled new research perspectives in the discrete choice community. While the techniques to estimate Machine Learning models on a massive amount of da…