An Introduction to Generative Adversarial Networks

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dc.contributor.authorPaget, Bryan
dc.contributor.supervisorKaimanovich, Vadim
dc.contributor.supervisorFraser, Maia
dc.date.accessioned2019-09-11T15:40:43Z
dc.date.available2019-09-11T15:40:43Z
dc.date.issued2019-09-11en_US
dc.description.abstractThis thesis is a survey of the mathematical theory of Generative Adversarial Networks (GANs). The relevant theories discussed are game theory, information theory and optimal transport theory.en_US
dc.identifier.urihttp://hdl.handle.net/10393/39603
dc.identifier.urihttp://dx.doi.org/10.20381/ruor-23846
dc.language.isoenen_US
dc.publisherUniversité d'Ottawa / University of Ottawaen_US
dc.subjectgame theoryen_US
dc.subjectinformation theoryen_US
dc.subjectoptimal transport theoryen_US
dc.subjectGenerative Adversarial Networksen_US
dc.titleAn Introduction to Generative Adversarial Networksen_US
dc.typeThesisen_US
thesis.degree.disciplineSciences / Scienceen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMScen_US
uottawa.departmentMathématiques et statistique / Mathematics and Statisticsen_US

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