Philippe Brouillard

13 papers A* 3Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Who Guards the Guardians? The Challenges of Evaluating Identifiability of Learned Representations. CoRR Shruti Joshi, Théo Saulus, Wieland Brendel, Philippe Brouillard, Dhanya Sridhar, Patrik Reizinger
2025	—	`conf`	The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications. CLeaR Philippe Brouillard, Chandler Squires, Jonas Wahl, Konrad K, Karen Sachs, Alexandre Drouin, Dhanya Sridhar
2024	J	`jnl`	Causal Representation Learning in Temporal Data via Single-Parent Decoding. CoRR Philippe Brouillard, Sébastien Lachapelle, Julia Kaltenborn, Yaniv Gurwicz, Dhanya Sridhar, Alexandre Drouin, Peer Nowack, Jakob Runge, David Rolnick
2024	J	`jnl`	The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications. CoRR Philippe Brouillard, Chandler Squires, Jonas Wahl, Konrad P. Kording, Karen Sachs, Alexandre Drouin, Dhanya Sridhar
2023	A*	`conf`	ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning. NeurIPS Julia Kaltenborn, Charlotte E. E. Lange, Venkatesh Ramesh, Philippe Brouillard, Yaniv Gurwicz, Chandni Nagda, Jakob Runge, Peer Nowack, David Rolnick
2023	J	`jnl`	ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning. CoRR Julia Kaltenborn, Charlotte E. E. Lange, Venkatesh Ramesh, Philippe Brouillard, Yaniv Gurwicz, Chandni Nagda, Jakob Runge, Peer Nowack, David Rolnick
2023	J	`jnl`	Towards Causal Representations of Climate Model Data. CoRR Julien Boussard, Chandni Nagda, Julia Kaltenborn, Charlotte Emilie Elektra Lange, Philippe Brouillard, Yaniv Gurwicz, Peer Nowack, David Rolnick
2022	—	`conf`	Typing assumptions improve identification in causal discovery. CLeaR Philippe Brouillard, Perouz Taslakian, Alexandre Lacoste, Sébastien Lachapelle, Alexandre Drouin
2021	J	`jnl`	Typing assumptions improve identification in causal discovery. CoRR Philippe Brouillard, Perouz Taslakian, Alexandre Lacoste, Sébastien Lachapelle, Alexandre Drouin
2020	A*	`conf`	Differentiable Causal Discovery from Interventional Data. NeurIPS Philippe Brouillard, Sébastien Lachapelle, Alexandre Lacoste, Simon Lacoste-Julien, Alexandre Drouin
2020	J	`jnl`	Differentiable Causal Discovery from Interventional Data. CoRR Philippe Brouillard, Sébastien Lachapelle, Alexandre Lacoste, Simon Lacoste-Julien, Alexandre Drouin
2020	A*	`conf`	Gradient-Based Neural DAG Learning. ICLR Sébastien Lachapelle, Philippe Brouillard, Tristan Deleu, Simon Lacoste-Julien
2019	J	`jnl`	Gradient-Based Neural DAG Learning. CoRR Sébastien Lachapelle, Philippe Brouillard, Tristan Deleu, Simon Lacoste-Julien