<?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>denoising-diffusion-probabilistic-models-2025-010</dc:title><dc:creator>Jonathan Ho, Ajay Jain, Pieter Abbeel</dc:creator><dc:date>2025</dc:date><dc:description>This record links to the denoising diffusion probabilistic models paper, which describes a generative modelling framework based on iterative noise reversal. It supports realistic testing for modern AI documents, long keywords, and PDF preview workflows.</dc:description><dc:identifier>https://inrepscholar.com/projects/949</dc:identifier></oai_dc:dc>