korrents

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Adversarial nets need neither Markov chains nor unrolled approximate inference networks for training or sample generation.

Drawn from what Yoshua Bengio said

GANs
What this subject means

GANs Two networks trained against each other, one generating fake examples and one judging them, until the generator's output is convincing.

What Yoshua Bengio actually said

  1. Yoshua Bengio Deep-learning researcher and Turing Award laureate
    There is no need for any Markov chains or unrolled approximate inference networks during either training or generation of samples.

Added to korrents 9 Sept 2026 · How quotes work · Something wrong? Tell us

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