14 citations · 31 across the 20 of their papers we have counts for
5 papers · 1 filter
Generalized Dual Discriminator GANs
Penukonda Naga Chandana, Tejas Srivastava, Gowtham R. Kurri +1
Dual discriminator generative adversarial networks (D2 GANs) were introduced to mitigate the problem of mode collapse in generative adversarial networks. In D2 GANs, two discrimina…
Addressing GAN Training Instabilities via Tunable Classification Losses
Monica Welfert, Gowtham R. Kurri, Kyle Otstot +1
Generative adversarial networks (GANs), modeled as a zero-sum game between a generator (G) and a discriminator (D), allow generating synthetic data with formal guarantees. Noting t…
-GANs: Addressing GAN Training Instabilities via Dual Objectives
Monica Welfert, Kyle Otstot, Gowtham R. Kurri +1
In an effort to address the training instabilities of GANs, we introduce a class of dual-objective GANs with different value functions (objectives) for the generator (G) and discri…
-GAN: Convergence and Estimation Guarantees
Gowtham R. Kurri, Monica Welfert, Tyler Sypherd +1
We prove a two-way correspondence between the min-max optimization of general CPE loss function GANs and the minimization of associated -divergences. We then focus on -GAN, d…
Realizing GANs via a Tunable Loss Function
Gowtham R. Kurri, Tyler Sypherd, Lalitha Sankar
We introduce a tunable GAN, called -GAN, parameterized by , which interpolates between various -GANs and Integral Probability Metric based GANs (under constr…