University of Cambridge > Talks.cam > Information Engineering Distinguished Lecture Series > From Diffusion Models to Schrödinger Bridges

From Diffusion Models to Schrödinger Bridges

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Diffusion models have revolutionized generative modeling. Conceptually, these methods define a transport mechanism from a noise distribution to a data distribution. Recent advancements have extended this framework to define transport maps between arbitrary distributions, significantly expanding the potential for unpaired data translation. However, existing methods often fail to approximate optimal transport maps, which are theoretically known to possess advantageous properties. In this talk, we will show how one can modify current methodologies to compute Schrödinger bridges—an entropy-regularized variant of dynamic optimal transport. We will demonstrate this methodology on a variety of unpaired data translation tasks.

This talk is part of the Information Engineering Distinguished Lecture Series series.

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