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.
Interests
Deep probabilistic models, optimization, structured prediction and unsupervised/weakly supervised learning
Latest Publications
Permutation Equivariant Models for Compositional Generalization in Language
Jonathan Gordon, David Lopez-Paz, Marco Baroni, Diane Bouchacourt
ICLR - April 25, 2020
EGG: a toolkit for research on Emergence of lanGuage in Games
Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, Marco Baroni
EMNLP - November 2, 2019
Miss Tools and Mr Fruit: Emergent communication in agents learning about object affordances
Diane Bouchacourt, Marco Baroni
ACL - July 28, 2019
How agents see things: On visual representations in an emergent language game
Diane Bouchacourt, Marco Baroni
EMNLP 2018 - November 1, 2018