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1. Generative Modeling: Score-Based Diffusion and Flow Matching
An introduction to deep generative modeling, covering score-based diffusion models and flow matching as frameworks for learning transport maps between probability distributions.
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2. Data Translation: Diffusion Bridges and Stochastic Interpolants
An overview of data-to-data translation methods grounded in diffusion bridges and stochastic interpolants, extending generative modeling frameworks to transport between arbitrary distributions.
