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Matching Normalizing Flows and Probability Paths on Manifolds
Continuous Normalizing Flows (CNFs) are a class of generative models that transform a prior distribution to a model distribution by solving an ordinary differential equation (ODE).
CAGE: Probing Causal Relationships in Deep Generative Models
Deep generative models excel at generating complex, high-dimensional data, often exhibiting impressive generalization beyond the training distribution.
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