Publications

Philippe Brouillard, Chandler Squires, Jonas Wahl, Konrad Kording, Karen Sachs, Alexandre Drouin, Dhanya Sridhar (2025). The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications. In CLeaR 2025.

Julia Kaltenborn, Charlotte Lange, Venkatesh Ramesh, Philippe Brouillard, Yaniv Gurwicz, Chandni Nagda, Jakob Runge, Peer Nowack, David Rolnick (2023). Climateset: A large-scale climate model dataset for machine learning. In NeurIPS 2023 - Datasets and Benchmarks.

Philippe Brouillard, Perouz Taslakian, Alexandre Lacoste, Sébastien Lachapelle, Alexandre Drouin (2022). Typing Assumptions Improve Identification in Causal Discovery. In CLeaR 2022.

Philippe Brouillard, Sébastien Lachapelle, Alexandre Lacoste, Simon Lacoste-Julien, Alexandre Drouin (2020). Differentiable Causal Discovery with Interventional Data. In NeurIPS 2020.

Philippe Brouillard, Sébastien Lachapelle, Alexandre Lacoste, Alexandre Drouin (2020). Gradient-based Neural DAG Learning with Intervention. In Causal Learning for Decision Making workshop, ICLR 2020.

Sébastien Lachapelle, Philippe Brouillard, Tristan Deleu, Simon Lacoste-Julien (2020). Gradient-Based Neural DAG Learning. In ICLR 2020.