Guillaume Lample

Facebook AI Research

I joined Facebook AI Research as a resident PhD student in August 2016. I’m advised by Marc’Aurelio Ranzato (Facebook) and Ludovic Denoyer (UPMC/LIP6). I graduated from Carnegie Mellon University in 2016, where I was working under the supervision of Chris Dyer. Before that, I received a bachelor’s and master’s degree in mathematics from École Polytechnique.

Interests

Unsupervised learning, deep reinforcement learning and natural language processing

Google Scholar

Latest Publications

Multiple-Attribute Text Rewriting

Guillaume Lample, Sandeep Subramanian, Eric Michael Smith, Ludovic Denoyer, Marc'Aurelio Ranzato, Y-Lan Boureau

ICLR - May 6, 2019

Phrase-Based & Neural Unsupervised Machine Translation

Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato

EMNLP 2018 - October 31, 2018

XNLI: Evaluating Cross-lingual Sentence Representations

Alexis Conneau, Ruty Rinott, Guillaume Lample, Adina Williams, Samuel R. Bowman, Holger Schwenk, Ves Stoyanov

EMNLP 2018 - October 29, 2018

What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties

Alexis Conneau, Germán Kruszewski, Guillaume Lample, LoÏc Barrault, Marco Baroni

ACL 2018 - July 18, 2018

Unsupervised Machine Translation Using Monolingual Corpora Only

Guillaume Lample, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato

ICLR 2018 - April 30, 2018

Word Translation Without Parallel Data

Alexis Conneau, Guillaume Lample, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou

ICLR 2018 - April 30, 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