PolyGAN builds GAN generators from high-order polynomials via coupled tensor decompositions, yielding hierarchical linear-block generators that improve IS/FID over DCGAN, SNGAN, and SAGAN.
A convergence analysis of gradient descent for deep linear neural networks
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PolyGAN: High-Order Polynomial Generators
PolyGAN builds GAN generators from high-order polynomials via coupled tensor decompositions, yielding hierarchical linear-block generators that improve IS/FID over DCGAN, SNGAN, and SAGAN.