no code implementations • 5 Dec 2023 • Julien Boussard, Chandni Nagda, Julia Kaltenborn, Charlotte Emilie Elektra Lange, Philippe Brouillard, Yaniv Gurwicz, Peer Nowack, David Rolnick
Climate models, such as Earth system models (ESMs), are crucial for simulating future climate change based on projected Shared Socioeconomic Pathways (SSP) greenhouse gas emissions scenarios.
1 code implementation • 22 Jul 2021 • Philippe Brouillard, Perouz Taslakian, Alexandre Lacoste, Sebastien Lachapelle, Alexandre Drouin
Causal discovery from observational data is a challenging task that can only be solved up to a set of equivalent solutions, called an equivalence class.
1 code implementation • NeurIPS 2020 • Philippe Brouillard, Sébastien Lachapelle, Alexandre Lacoste, Simon Lacoste-Julien, Alexandre Drouin
This work constitutes a new step in this direction by proposing a theoretically-grounded method based on neural networks that can leverage interventional data.
1 code implementation • ICLR 2020 • Sébastien Lachapelle, Philippe Brouillard, Tristan Deleu, Simon Lacoste-Julien
We propose a novel score-based approach to learning a directed acyclic graph (DAG) from observational data.