Philippe Brouillard
Visiting Researcher
AI Frontier Research
PhD student at Mila/University of Montreal and visiting researcher at ServiceNow. His interests lie at the intersection of causal discovery and machine learning.
Publications
The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications.
Causal Learning and Reasoning (CLeaR),
2025.
The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications.
Workshop at the International Conference of Learning Representation (ICLR),
2025.
Typing assumptions improve identification in causal discovery - theory and algorithms.
Causal Learning and Reasoning (CLeaR),
2022.
Typing assumptions improve identification in causal discovery - Report and comments on future directions.
Workshop at the Neural Information Processing Systems (NeurIPS),
2021.
Typing assumptions improve identification in causal discovery.
Workshop at the International Conference on Machine Learning (ICML),
2021.
Differentiable Causal Discovery from Interventional Data.
Conference on Neural Information Processing Systems (NeurIPS),
2020.
Gradient-Based Neural DAG Learning with Interventions.
Workshop at the International Conference on Learning Representations (ICLR),
2020.