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Closed-Form Diffusion Models
In this work, we instead explicitly smooth the closed-form score to obtain an SGM that generates novel samples without training.
Riemannian Metric Learning via Optimal Transport
We introduce an optimal transport-based model for learning a metric tensor from cross-sectional samples of evolving probability measures on a common Riemannian manifold.
The Maximum Entropy on the Mean Method for Image Deblurring
Image deblurring is a notoriously challenging ill-posed inverse problem.
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