most citedDenoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors

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cs.LG2025

Graffe: Graph Representation Learning via Diffusion Probabilistic Models

Dingshuo Chen, Shuchen Xue, Liuji Chen +5

Diffusion probabilistic models (DPMs), widely recognized for their potential to generate high-quality samples, tend to go unnoticed in representation learning. While recent progres…

cs.LG2024★ 1 cited

Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors

Wasu Top Piriyakulkij, Yingheng Wang, Volodymyr Kuleshov

We propose denoising diffusion variational inference (DDVI), a black-box variational inference algorithm for latent variable models which relies on diffusion models as flexible app…