ML Anthology

Brouillard, Philippe

7 publications

CLeaR 2025 The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications Philippe Brouillard, Chandler Squires, Jonas Wahl, Konrad K"ording, Karen Sachs, Alexandre Drouin, Dhanya Sridhar
ICLRW 2025 The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications Philippe Brouillard, Chandler Squires, Jonas Wahl, Konrad Kording, Karen Sachs, Alexandre Drouin, Dhanya Sridhar
NeurIPS 2023 ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning Julia Kaltenborn, Charlotte Lange, Venkatesh Ramesh, Philippe Brouillard, Yaniv Gurwicz, Chandni Nagda, Jakob Runge, Peer Nowack, David Rolnick
CLeaR 2022 Typing Assumptions Improve Identification in Causal Discovery Philippe Brouillard, Perouz Taslakian, Alexandre Lacoste, Sebastien Lachapelle, Alexandre Drouin
NeurIPS 2020 Differentiable Causal Discovery from Interventional Data Philippe Brouillard, Sébastien Lachapelle, Alexandre Lacoste, Simon Lacoste-Julien, Alexandre Drouin
ICLR 2020 Gradient-Based Neural DAG Learning Sébastien Lachapelle, Philippe Brouillard, Tristan Deleu, Simon Lacoste-Julien
NeurIPSW 2019 Gradient-Based Neural DAG Learning Sébastien Lachapelle, Philippe Brouillard, Tristan Deleu, Simon Lacoste-Julien