What are Normalizing Flows?
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What are Normalizing Flows?
Normalizing Flows are a class of generative models that learn complex data distributions by transforming a simple probability distribution (like a Gaussian) into the target distribution through a series of invertible and differentiable functions. Each transformation “flows” the simple data into more complex structures, allowing exact ...
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