I am a research scientist on the Facebook AI Research (FAIR) team, which I joined as a postdoctoral researcher in 2015. Prior to Facebook, I was a postdoctoral fellow in Emmanuel Dupoux’s team at École Normale Supérieure in Paris, working on reverse-engineering the acquisition of language in babies. I received my PhD in Bayesian modeling applied to real-time strategy games AI from University of Grenoble in 2012. I programmed a bot that came 4th in AAAI AIIDE 2012 StarCraft AI competition. Even before that (2009), I worked on inductive logic programming applied to systems biology at the national institute of informatics in Tokyo.
Interests
End-to-end speech recognition, language understanding and real-time strategy games AI
Latest Publications
Libri-light: A benchmark for ASR with limited or no supervision
Jacob Kahn, Morgan Rivière, Weiyi Zheng, Evgeny Kharitonov, Qiantong Xu, Pierre-Emmanuel Mazaré, Julien Karadayi, Vitaliy Liptchinsky, Ronan Collobert, Christian Fuegen, Tatiana Likhomanenko, Gabriel Synnaeve, Armand Joulin, Abdelrahman Mohamed, Emmanuel Dupoux
ICASSP - May 4, 2020
Scaling up online speech recognition using ConvNets
Vineel Pratap, Qiantong Xu, Jacob Kahn, Gilad Avidov, Tatiana Likhomanenko, Awni Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert
arXiv - January 13, 2020
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning
Nicolas Carion, Gabriel Synnaeve, Alessandro Lazaric, Nicolas Usunier
NeurIPS - October 18, 2019
Who Needs Words? Lexicon-Free Speech Recognition
Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert
Interspeech - September 15, 2019
Why Build an Assistant in Minecraft?
Arthur Szlam, Jonathan Gray, Kavya Srinet, Yacine Jernite, Armand Joulin, Gabriel Synnaeve, Douwe Kiela, Haonan Yu, Zhuoyuan Chen, Siddharth Goyal, Demi Guo, Danielle Rothermel, Larry Zitnick, Jason Weston
arXiv - July 18, 2019
Value Propagation Networks
Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H.S. Torr, Nicolas Usunier
ICLR - May 6, 2019
High-Level Strategy Selection under Partial Observability in StarCraft: Brood War
Jonas Gehring, Da Ju, Vegard Mella, Daniel Gant, Nicolas Usunier, Gabriel Synnaeve
Reinforcement Learning under Partial Observability Workshop at NeurIPS 2018 - December 3, 2018
Forward Modeling for Partial Observation Strategy Games – A StarCraft Defogger
Gabriel Synnaeve, Zeming Lin, Jonas Gehring, Dan Gant, Vegard Mella, Vasil Khalidov, Nicolas Carion, Nicolas Usunier
NeurIPS - December 3, 2018
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov, Gabriel Synnaeve, Arthur Szlam, Rob Fergus
ICLR 2018 - April 30, 2018
Learning Filterbanks from Raw Speech for Phone Recognition
Neil Zeghidour, Nicolas Usunier, Iasonas Kokkinos, Thomas Schatz, Gabriel Synnaeve, Emmanuel Dupoux
ICASSP 2018 - April 15, 2018
STARDATA: a StarCraft AI Research Dataset
Zeming Lin, Jonas Gehring, Vasil Khalidov, Gabriel Synnaeve
AAAI AIIDE 2017 - October 5, 2017
Episodic Exploration for Deep Deterministic Policies for StarCraft Micro-Management
Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala
ICLR 2017 - April 24, 2017
Joint Learning of Speaker and Phonetic Similarities with Siamese Networks
Neil Zeghidour, Gabriel Synnaeve, Nicolas Usunier, Emmanuel Dupoux
September 8, 2016
MazeBase: A Sandbox for Learning from Games
Sainbayar Sukhbaatar, Arthur Szlam, Gabriel Synnaeve, Soumith Chintala, Rob Fergus
ArXiv - November 23, 2015