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Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures
The standard approach to generative modeling separates model fitting into two independent steps: first choosing a noise distribution to sample from, and then learning a transformation that maps these samples to the data distribution. In this work, we explore an alternative route that ties sampling and mapping. Our work draws inspiration from ...
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