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Generative Minimization Networks: Training GANs Without Competition

Generative Minimization Networks: Training GANs Without Competition

23 March 2021
Paulina Grnarova
Yannic Kilcher
Kfir Y. Levy
Aurélien Lucchi
Thomas Hofmann
    GAN
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Papers citing "Generative Minimization Networks: Training GANs Without Competition"

3 / 3 papers shown
Title
Finding mixed-strategy equilibria of continuous-action games without
  gradients using randomized policy networks
Finding mixed-strategy equilibria of continuous-action games without gradients using randomized policy networks
Carlos Martin
T. Sandholm
26
11
0
29 Nov 2022
Deep Generative Modelling: A Comparative Review of VAEs, GANs,
  Normalizing Flows, Energy-Based and Autoregressive Models
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
VLM
TPM
36
478
0
08 Mar 2021
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach
Yuanhao Wang
Guodong Zhang
Jimmy Ba
31
100
0
16 Oct 2019
1