Diane Bouchacourt
Paris, France
Diane is a research scientist at Facebook AI Research (FAIR), focusing on representation learning and unsupervised/weakly supervised learning. She is interested in building robust models by using group theory and disentanglement methods. Diane earned her Ph.D. in machine learning at the University of Oxford.
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Diane's Work
Diane's Publications
April 25, 2020
Research
Permutation Equivariant Models for Compositional Generalization in Language
Jonathan Gordon, David Lopez-Paz, Marco Baroni, Diane Bouchacourt
April 25, 2020
July 28, 2019
Research
Computer Vision
Miss Tools and Mr Fruit: Emergent communication in agents learning about object affordances
July 28, 2019
November 01, 2018
Research
Computer Vision
How agents see things: On visual representations in an emergent language game
November 01, 2018
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