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approximate the distribution P(y∣x). Conversely, generative models seek to estimate P(y,x), which represents the joint probability distribution of both x and y. This joint probability distribution can be expressed symmetrically as P(y∣x)×P(x). Generative models endeavor to learn a mapping function,