Philippe Brouillard

Joined

April 2021

Names

Philippe Brouillard (Preferred)

Emails

****@umontreal.ca (Confirmed)

Personal Links

Career & Education History

PhD student

University of Montreal (umontreal.ca)

2020 – 2024

Advisors, Relations & Conflicts

PhD Advisor

2023 – Present

PhD Advisor

Alexandre Drouin

2023 – Present

Expertise

causal inference

2020 – Present

Publications

Learning a Spatial Partitioning and its Causal Relations from Temporal Data
Philippe Brouillard, Sebastien Lachapelle, Julia Kaltenborn, Yaniv Gurwicz, Dhanya Sridhar, Alexandre Drouin, Peer Nowack, Jakob Runge, David Rolnick
- CLeaR 2026 Poster
- Readers: Everyone
A Meta-Learning Approach to Causal Inference
Dragos Cristian Manta, Philippe Brouillard, Dhanya Sridhar
- ICML 2025 Workshop SIM Poster
- Readers: Everyone
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
- MLDPR 2025
- Readers: Everyone
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
- CLeaR 2025 Poster
- Readers: Everyone
Causal Representation Learning in Temporal Data via Single-Parent Decoding
Philippe Brouillard, Sebastien Lachapelle, Julia Kaltenborn, Yaniv Gurwicz, Dhanya Sridhar, Alexandre Drouin, Peer Nowack, Jakob Runge, David Rolnick
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning
Julia Kaltenborn, Charlotte Emilie Elektra Lange, Venkatesh Ramesh, Philippe Brouillard, Yaniv Gurwicz, Chandni Nagda, Jakob Runge, Peer Nowack, David Rolnick
- NeurIPS 2023 Datasets and Benchmarks Poster
- Readers: Everyone
Typing assumptions improve identification in causal discovery
Philippe Brouillard, Perouz Taslakian, Alexandre Lacoste, Sébastien Lachapelle, Alexandre Drouin
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CLeaR 2022
- Readers: Everyone
Differentiable Causal Discovery from Interventional Data
Philippe Brouillard, Sébastien Lachapelle, Alexandre Lacoste, Simon Lacoste-Julien, Alexandre Drouin
- 2020 (modified: 12 May 2023)
- NeurIPS 2020
- Readers: Everyone
Gradient-Based Neural DAG Learning
Sébastien Lachapelle, Philippe Brouillard, Tristan Deleu, Simon Lacoste-Julien
- Published: 01 Jan 2020, Last Modified: 10 May 2023
- ICLR 2020
- Readers: Everyone

Co-Authors