<?xml version="1.0" encoding="UTF-8"?><resource xmlns="http://datacite.org/schema/kernel-4"><identifier identifierType="URL">https://inrepscholar.com/projects/961</identifier><creators><creator><creatorName>Diederik P. Kingma, Max Welling</creatorName></creator></creators><titles><title>auto-encoding-variational-bayes-2022-022</title></titles><publisher>UFTAN UNIVERSITY</publisher><publicationYear>2022</publicationYear><resourceType resourceTypeGeneral="Text">Final Year Project</resourceType><descriptions><description descriptionType="Abstract">This record links to the variational autoencoder paper, which introduces a practical approach to variational inference with neural networks. It supports realistic testing of statistics, generative modelling, and advanced research metadata.</description></descriptions></resource>