"Learning Data Representations with Joint Diffusion Models. (arXiv:2301.13622v1 [cs.LG])" — A joint diffusion model that simultaneously learns meaningful internal representations fit for both generative and predictive tasks and which has superior performance across various tasks, including generative modeling, semi-supervised classification, and domain adaptation.

Paper: http://arxiv.org/abs/2301.13622

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Data representation zt in a UNe…