Patrick Gallinari is affiliated with Sorbonne University in France and has a significant body of research focused on computer science, particularly in artificial intelligence. Their work spans several subfields, including statistical and nonlinear physics, computer vision and pattern recognition, management science and operations research, and information systems.
The main topics covered in Gallinari's research include:
Gallinari has contributed to a range of recent academic papers published primarily in reputable venues. Notable publications include:
Frequent coauthors of Gallinari include Benjamin Piwowarski, Sylvain Lamprier, Laure Soulier, Clément Rebuffel, and Thomas Scialom. These collaborations have resulted in multiple joint publications, indicating sustained research partnerships.
Gallinari's research has appeared predominantly in the following venues:
The scientist's publication record encompasses 65 works in computer science, with a substantial portion in artificial intelligence. Among the subfields, artificial intelligence, statistical and nonlinear physics, and computer vision and pattern recognition are most prominent.
George Tsatsaronis;Georgios Balikas;Prodromos Malakasiotis;Ioannis Partalas
Ludovic Denoyer;Patrick Gallinari
Antoine Bordes;Léon Bottou;Patrick Gallinari
Yann Guermeur;Christophe Geourjon;Patrick Gallinari;Gilbert Deleage
Emmanuel de Bézenac;Arthur Pajot;Patrick Gallinari
Antoine Bordes;Léon Bottou;Patrick Gallinari;Jason Weston
Nicolas Usunier;David Buffoni;Patrick Gallinari
Philippe Leray;Patrick Gallinari
P. Gallinari;S. Thiria;F. Badran;F. Fogelman-Soulie
Ioannis Partalas;Aris Kosmopoulos;Nicolas Baskiotis;Thierry Artières
Sheng Gao;Ludovic Denoyer;Patrick Gallinari
Sheng Gao;Hao Luo;Da Chen;Shantao Li
Simon Bourigault;Sylvain Lamprier;Patrick Gallinari
Ludovic Denoyer;Patrick Gallinari
Simon Bourigault;Cedric Lagnier;Sylvain Lamprier;Ludovic Denoyer
Tautvydas Cibas;Françoise Fogelman Soulié;Patrick Gallinari;Sarunas Raudys
Yann Jacob;Ludovic Denoyer;Patrick Gallinari
Léon Bottou;Patrick Gallinari
Ludovic Denoyer;Patrick Gallinari
Massih-Reza Amini;Patrick Gallinari
Jean-Yves Franceschi;Edouard Delasalles;Mickael Chen;Sylvain Lamprier
If you think any of the details on this page are incorrect, let us know.
Studying Computer Science in the USA opens doors to a wide range of related online degrees and promising career pathways. With the growing demand for qualified professionals, many students are considering online programs that offer affordability and flexibility.
For those interested in interdisciplinary fields, consider exploring an environmental engineering online degree. This provides a unique blend of engineering, science, and technology focused on solving environmental challenges.
Engineering-minded students may also pursue an online mechanical engineering degree, which builds practical skills for roles in manufacturing, robotics, and advanced technology sectors.
If you’re interested in exploring the foundations of technology, an online bachelor's degree in physics can help you develop strong analytical and problem-solving abilities, useful in research, data analysis, and engineering.
Those focused on emerging tech should investigate what is the cheapest data science course in the us? to jumpstart a career in data analysis, AI, and machine learning. These affordable online programs help make advanced education more accessible.
Memorial University of Newfoundland
University of California, Los Angeles
University of Münster
University of California, Los Angeles
International Atomic Energy Agency
InterAmerican University of Puerto Rico
Fox Chase Cancer Center
Imperial College London
GlaxoSmithKline (United Kingdom)
Nanyang Technological University
Beihang University
University of Southern Denmark
University of Helsinki
Indian Institute of Petroleum
University of Wollongong
University of Sharjah
