Gabriel Synnaeve
RESEARCH SCIENTIST | NEW YORK CITY, UNITED STATES
Gabriel Synnaeve is a research scientist on the Facebook AI Research (FAIR) team, who joined as a postdoctoral researcher in 2015. Prior to Facebook, Gabriel 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. Gabriel received his PhD in Bayesian modeling applied to real-time strategy games AI from the University of Grenoble in 2012. Gabriel programmed a bot that placed 4th in the AAAI AIIDE 2012 StarCraft AI competition. In 2009, Gabriel worked on inductive logic programming applied to systems biology at the National Institute of Informatics in Tokyo.
Research Areas
Gabriel's Publications
June 27, 2024
SYSTEMS RESEARCH
Meta Large Language Model Compiler: Foundation Models of Compiler Optimization
Chris Cummins, Volker Seeker, Dejan Grubisic, Baptiste Rozière, Jonas Gehring, Gabriel Synnaeve, Hugh Leather
June 27, 2024
December 07, 2023
RESPONSIBLE AI
Purple Llama CyberSecEval: A benchmark for evaluating the cybersecurity risks of large language models
GenAI Cybersec Team, Manish Bhatt, Sahana Chennabasappa, Cyrus Nikolaidis, Shengye Wan, Ivan Evtimov, Dominik Gabi, Daniel Song, Faizan Ahmad, Cornelius Aschermann, Lorenzo Fontana, Sasha Frolov, Ravi Prakash Giri, Dhaval Kapil, Yiannis Kozyrakis, David LeBlanc, James Milazzo, Aleksandar Straumann, Gabriel Synnaeve, Varun Vontimitta, Spencer Whitman, Joshua Saxe
December 07, 2023
August 24, 2023
NLP
CORE MACHINE LEARNING
Code Llama: Open Foundation Models for Code
Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Ellen Tan, Yossef (Yossi) Adi, Jingyu Liu, Tal Remez, Jérémy Rapin, Artyom Kozhevnikov, Ivan Evtimov, Joanna Bitton, Manish Bhatt, Cristian Canton Ferrer, Aaron Grattafiori, Wenhan Xiong, Alexandre Defossez, Jade Copet, Faisal Azhar, Hugo Touvron, Gabriel Synnaeve, Louis Martin, Nicolas Usunier, Thomas Scialom
August 24, 2023
August 19, 2023
NLP
EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis
Tu Anh Nguyen, Wei-Ning Hsu, Antony D'Avirro, Bowen Shi, Itai Gat, Maryam Fazel-Zarandi, Tal Remez, Jade Copet, Gabriel Synnaeve, Michael Hassid, Felix Kreuk, Yossef Mordechay Adi, Emmanuel Dupoux
August 19, 2023
February 25, 2023
NLP
CORE MACHINE LEARNING
CODE TRANSLATION WITH COMPILER REPRESENTATIONS
Marc Szafraniec, Baptiste Rozière, Hugh Leather, François Charton, Patrick Labatut, Gabriel Synnaeve
February 25, 2023
June 20, 2022
Flashlight: Enabling Innovation in Tools for Machine Learning
Jacob Kahn, Ann Lee, Benoit Steiner, Edouard Grave, Gabriel Synnaeve, Gilad Avidov, Paden Tomasello, Qiantong Xu, Ronan Collobert, Vineel Pratap, Vitaliy Liptchinksy, Awni Hannun, Jeff Cai, Tatiana Likhomanenko
June 20, 2022
December 05, 2021
REINFORCEMENT LEARNING
Hierarchical Skills for Efficient Exploration
Jonas Gehring, Gabriel Synnaeve, andreas krause, Nicolas Usunier
December 05, 2021
October 25, 2020
SPEECH & AUDIO
NLP
Real Time Speech Enhancement in the Waveform Domain
Alexandre Defossez, Gabriel Synnaeve, Yossef (Yossi) Adi
October 25, 2020
July 09, 2020
RESEARCH
NLP
Word-level Speech Recognition with a Letter to Word Encoder
Ronan Collobert, Awni Hannun, Gabriel Synnaeve
July 09, 2020
July 09, 2020
RESEARCH
Growing Action Spaces
Gabriel Synnaeve, Gregory Farquhar, Laura Gustafson, Nicolas Usunier, Zeming Lin, Shimon Whiteson
July 09, 2020
May 26, 2020
RESEARCH
COMPUTER VISION
End-to-end object detection with Transformers
Nicolas Carion, Alexander Kirillov, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Sergey Zagoruyko
May 26, 2020
April 30, 2019
RESEARCH
Value Propagation Networks
Nantas Nardelli, Gabriel Synnaeve, Nicolas Usunier, Zeming Lin, Philip H. S. Torr, Pushmeet Kohli
April 30, 2019
December 03, 2018
HUMAN & MACHINE INTELLIGENCE
RESEARCH
Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger
Gabriel Synnaeve, Daniel Gant, Jonas Gehring, Nicolas Carion, Nicolas Usunier, Vasil Khalidov, Vegard Mella, Zeming Lin
December 03, 2018
Foundational models
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Foundational models
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