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.

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

Diane Bouchacourt, Marco Baroni,

July 28, 2019

November 01, 2018

RESEARCH

COMPUTER VISION

How agents see things: On visual representations in an emergent language game

Diane Bouchacourt, Marco Baroni,

November 01, 2018