I joined Facebook as a Research Scientist in March 2015. I received my PhD in Machine Learning from Université Pierre et Marie Curie, in Paris, in 2006. I was Associate Profesor there until 2012, when I joined Université de Technologie de Compiègne, in France, with a chair position from the “CNRS-Higher Education Chairs” program. My research interests are learning theory, learning to rank, and learning with multiples objectives.
Interests
Machine learning theory and algorithms, information retrieval, text analysis
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Latest Publications
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning
Nicolas Carion, Gabriel Synnaeve, Alessandro Lazaric, Nicolas Usunier
NeurIPS - October 18, 2019
Value Propagation Networks
Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H.S. Torr, Nicolas Usunier
ICLR - May 6, 2019
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
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
SING: Symbol-to-Instrument Neural Generator
Alexandre Défossez, Neil Zeghidour, Nicolas Usunier, Leon Bottou, Francis Bach
NIPS 2018 - October 26, 2018
Canonical Tensor Decomposition for Knowledge Base Completion
Timothée Lacroix, Nicolas Usunier, Guillaume Obozinski
ICML 2018 - June 18, 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
Fader Networks: Manipulating Images by Sliding Attributes
Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, Marc'Aurelio Ranzato
NIPS 2017 - December 4, 2017
Dense and Low-Rank Gaussian CRFs using Deep Embeddings
Siddhartha Chandra, Nicolas Usunier, Iasonas Kokkinos
ICCV 2017 - October 22, 2017
Improving Neural Language Models with a Continuous Cache
Edouard Grave, Armand Joulin, Nicolas Usunier
ICLR 2017 - April 24, 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
Combining Two and Three-Way Embeddings Models for Link Prediction in Knowledge Bases
Alberto Garcia-Duran, Antoine Bordes, Nicolas Usunier, Yves Grandvalet
JAIR - June 20, 2016
Large-Scale Simple Question Answering with Memory Networks
Antoine Bordes, Nicolas Usunier, Sumit Chopra, Jason Weston
ArXiv - June 22, 2015