David Grangier is affiliated with Google in the United States and specializes in computer science with a strong focus on artificial intelligence. Their research spans multiple subfields including computer vision and pattern recognition, signal processing, information systems, and computational mechanics.
Their scholarly output includes numerous publications with a predominant emphasis on natural language processing techniques and topic modeling. Other research interests include speech recognition and synthesis, domain adaptation and few-shot learning, music and audio processing, multimodal machine learning applications, and machine learning and data classification.
Frequent coauthors collaborating with them include Pierre Ablin, Skyler Seto, Neil Zeghidour, Markus Freitag, and Olivier Teboul.
David Grangier's recent notable papers are:
The main venues where their work is frequently published include:
Jonas Gehring;Michael Auli;David Grangier;Denis Yarats
Myle Ott;Sergey Edunov;Alexei Baevski;Angela Fan
Yann N. Dauphin;Angela Fan;Michael Auli;David Grangier
Sergey Edunov;Myle Ott;Michael Auli;David Grangier
Dario Pavllo;Christoph Feichtenhofer;David Grangier;Michael Auli
Myle Ott;Sergey Edunov;David Grangier;Michael Auli
Unknown
Jonas Gehring;Michael Auli;David Grangier;Yann N. Dauphin
Rémi Lebret;David Grangier;Michael Auli
Samy Bengio;Jason Weston;David Grangier
D. Grangier;S. Bengio
Aurko Roy;Mohammad Saffar;Ashish Vaswani;David Grangier
Angela Fan;David Grangier;Michael Auli
Angela Fan;Yacine Jernite;Ethan Perez;David Grangier
Neil Zeghidour;David Grangier
Dario Pavllo;Christoph Feichtenhofer;Michael Auli;David Grangier
Isaac Caswell;Ciprian Chelba;David Grangier
Markus Freitag;George F. Foster;David Grangier;Viresh Ratnakar
Dario Pavllo;David Grangier;Michael Auli
Joseph Keshet;David Grangier;Samy Bengio
Sergey Edunov;Myle Ott;Michael Auli;David Grangier
Edouard Grave;Armand Joulin;Moustapha Cissé;David Grangier
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