Philippe Brouillard
8 papers · 2020–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze
🚀
Conference Pioneer
❓
The Questioner
Venues
Top co-authors
Research topics
Artificial Intelligence
(5)
Core AI
(5)
Machine Learning
(4)
Data Science & Analytics
(2)
Deep Learning
(2)
Knowledge & Reasoning
(2)
Reasoning
(2)
Application Areas
(1)
Applications
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Keywords
causal discovery
(6)
observational data
(2)
evaluation metric
(2)
latent variable model
(2)
knowledge representation
(1)
machine learning
(1)
disentangled representation
(1)
normalizing flow
(1)
causal representation learning
(1)
interventional data
(1)
directed acyclic graph
(1)
causal graph
(1)
equivalence class
(1)
identifiability theory
(1)
temporal data
(1)
synthetic benchmark
(1)
neural network
(1)
real-world application
(1)
continuous constrained optimization
(1)
assumption violation
(1)
Papers
Causal Discovery with Metadata-Informed Latent Types
UAI 2026
Learning a Spatial Partitioning and its Causal Relations from Temporal Data
CLeaR 2026
Who Guards the Guardians? The Challenges of Evaluating Identifiability of Learned Representations
UAI 2026
The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications
CLeaR 2025
ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning
NeurIPS 2023
Typing assumptions improve identification in causal discovery
CLeaR 2022
Differentiable Causal Discovery from Interventional Data
NeurIPS 2020
Gradient-Based Neural DAG Learning
ICLR 2020