Search Results for author: Philippe Caillou

Found 2 papers, 2 papers with code

Causal Generative Neural Networks

1 code implementation ICLR 2018 Olivier Goudet, Diviyan Kalainathan, Philippe Caillou, Isabelle Guyon, David Lopez-Paz, Michèle Sebag

We present Causal Generative Neural Networks (CGNNs) to learn functional causal models from observational data.

Causal Discovery

Learning Functional Causal Models with Generative Neural Networks

2 code implementations15 Sep 2017 Olivier Goudet, Diviyan Kalainathan, Philippe Caillou, Isabelle Guyon, David Lopez-Paz, Michèle Sebag

We introduce a new approach to functional causal modeling from observational data, called Causal Generative Neural Networks (CGNN).

Cannot find the paper you are looking for? You can Submit a new open access paper.