Monica Welfert

activity

20192025

most cited

α

-GAN: Convergence and Estimation Guarantees

1 citations · 2 across the 7 of their papers we have counts for

collaborators

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2 papers · 1 filter

cs.LG2023

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…

cs.LG2023

$(α_{D}, α_{G})$ -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…

Addressing GAN Training Instabilities via Tunable Classification Losses

(αD​,αG​)-GANs: Addressing GAN Training Instabilities via Dual Objectives

$(α_{D}, α_{G})$ -GANs: Addressing GAN Training Instabilities via Dual Objectives