18 citations · 19 across the 4 of their papers we have counts for
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math.OC2020★ 1 cited
Two steps at a time -- taking GAN training in stride with Tseng's method
Axel Böhm, Michael Sedlmayer, Ernö Robert Csetnek +1
Motivated by the training of Generative Adversarial Networks (GANs), we study methods for solving minimax problems with additional nonsmooth regularizers. We do so by employing \em…
math.OC2020★ 18 cited
A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving Monotone Inclusions with Application to GANs
Radu Ioan Bot, Michael Sedlmayer, Phan Tu Vuong
We introduce a relaxed inertial forward-backward-forward (RIFBF) splitting algorithm for approaching the set of zeros of the sum of a maximally monotone operator and a single-value…