Brouillard, Philippe

1. Differentiable Causal Discovery from Interventional Data
   2020/07/03 by Philippe Brouillard, Brouillard, Philippe, Sébastien Lachapelle +7 · 28 citations
   Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #I.2.6 #I.5.1 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning in Healthcare
2. Gradient-Based Neural DAG Learning
   2019/06/05 by Sébastien Lachapelle, Philippe Brouillard, Lachapelle, Sébastien +5 · 24 citations
   Computer Science · #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #I.2.6 #I.5.1 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
3. The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications
   2024/12/02 by Philippe Brouillard, Chandler Squires, Brouillard, Philippe +12 · 3 voices · 5 citations
   Decision Sciences · Computer Science · #Data Quality and Management #Semantic Web and Ontologies #Bayesian Modeling and Causal Inference
4. ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning
   2023/11/07 by Kaltenborn, Julia, Lange, Charlotte E. E., Ramesh, Venkatesh +6 · 5 citations
   #Artificial Intelligence (cs.AI) #Atmospheric and Oceanic Physics (physics.ao-ph) #Computational Engineering #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Machine Learning (cs.LG) #and Science (cs.CE)
5. Typing assumptions improve identification in causal discovery
   2021/07/22 by Philippe Brouillard, Perouz Taslakian, Brouillard, Philippe +7 · 2 citations
   Computer Science · #Bayesian Modeling and Causal Inference #Advanced Graph Neural Networks #Machine Learning and Algorithms