People

Gabriel Synnaeve

Research Scientist

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