<?xml version="1.0" encoding="UTF-8"?><resource xmlns="http://datacite.org/schema/kernel-4"><identifier identifierType="URL">https://inrepscholar.com/projects/944</identifier><creators><creator><creatorName>Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio</creatorName></creator></creators><titles><title>generative-adversarial-nets-2022-005</title></titles><publisher>UFTAN UNIVERSITY</publisher><publicationYear>2022</publicationYear><resourceType resourceTypeGeneral="Text">Masters Thesis</resourceType><descriptions><description descriptionType="Abstract">This record links to the original GAN paper, which introduced adversarial training between a generator and a discriminator. The document is useful for validating machine learning topics, external PDF handling, citation metadata, and repository discovery features.</description></descriptions></resource>