I am a second year PhD student at the University of Washington working in the Natural Language Processing Group and the Machine Learning Group. I am currently advised by Professor Yejin Choi. I work on deep learning for language and vision. I'm particularly interested in teaching neural networks to simulate common sense reasoning.

Prior to joining the University of Washington, I received a B.Eng. in Honours Electrical Engineering with a minor in Finance from McGill University in Montreal. During my time there, I worked with Professor Ioannis Psaromiligkos.

Preprints

Simulating Action Dynamics with Neural Process Networks.
Antoine Bosselut, Corin Ennis, Omer Levy, Ari Holtzman, Dieter Fox, and Yejin Choi.
arXiv Preprint: 1711.05313
[Paper]

Publications and Posters

Learning Prototypical Event Structure from Photo Albums.
Antoine Bosselut, Jianfu Chen, David Warren, Hannaneh Hajishirzi, and Yejin Choi.
In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL), 2016.
[Paper] [Project Page] [Dataset]

Covariance estimation in portfolio optimization.
Antoine Bosselut
Bachelor’s Thesis, McGill University, 2013.

Contact

Antoine Bosselut
Computer Science and Engineering
University of Washington
Box 352350
Seattle, WA 98195-2350

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