Diane Bouchacourt

Research Scientist

I am a research scientist at Facebook Artificial Intelligence Research (FAIR), starting in November 2017. Prior to this, I pursued a PhD in Machine Learning in the Optimization for Vision and Learning (OVAL) Group at the University of Oxford, UK. My PhD focused on learning probability distributions of structured objects, with applications in computer vision, and was funded by the Microsoft Research PhD Scholarship Programme in EMEA.


Deep probabilistic models, optimization, structured prediction and unsupervised/weakly supervised learning

Latest Publications

ICML - August 13, 2020

Entropy Minimization In Emergent Languages

Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, Marco Baroni

ACL - July 4, 2020

Compositionality and Generalization in Emergent Languages

Rahma Chaabouni, Eugene Kharitonov, Diane Bouchacourt, Emmanuel Dupoux, Marco Baroni

ICLR - April 25, 2020

Permutation Equivariant Models for Compositional Generalization in Language

Jonathan Gordon, David Lopez-Paz, Marco Baroni, Diane Bouchacourt

EMNLP - November 2, 2019

EGG: a toolkit for research on Emergence of lanGuage in Games

Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, Marco Baroni

EMNLP 2018 - November 1, 2018

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

Diane Bouchacourt, Marco Baroni