Now showing items 1-2 of 2

    • Accelerating and Privatizing Diffusion Models 

      Dockhorn, Tim (University of Waterloo, 2023-08-17)
      Diffusion models (DMs) have emerged as a powerful class of generative models. DMs offer both state-of-the-art synthesis quality and sample diversity in combination with a robust and scalable learning objective. DMs rely ...
    • Generative Modeling with Neural Ordinary Differential Equations 

      Dockhorn, Tim (University of Waterloo, 2019-12-19)
      Neural ordinary differential equations (NODEs) (Chen et al., 2018) are ordinary differential equations (ODEs) with their dynamics modeled by neural networks. Continuous normalizing flows (CNFs) (Chen et al., 2018; Grathwohl ...

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