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cs.LG2021
Trust the Critics: Generatorless and Multipurpose WGANs with Initial Convergence Guarantees
Tristan Milne, Étienne Bilocq, Adrian Nachman
Inspired by ideas from optimal transport theory we present Trust the Critics (TTC), a new algorithm for generative modelling. This algorithm eliminates the trainable generator from…
cs.LG2021★ 2 cited
Wasserstein GANs with Gradient Penalty Compute Congested Transport
Tristan Milne, Adrian Nachman
Wasserstein GANs with Gradient Penalty (WGAN-GP) are a very popular method for training generative models to produce high quality synthetic data. While WGAN-GP were initially devel…