<?xml version="1.0" encoding="UTF-8"?><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>auto-encoding-variational-bayes-2022-022</dc:title><dc:creator>Diederik P. Kingma, Max Welling</dc:creator><dc:date>2022</dc:date><dc:description>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.</dc:description><dc:identifier>https://inrepscholar.com/projects/961</dc:identifier></oai_dc:dc>