25 citations · 27 across the 7 of their papers we have counts for
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cs.LG2020★ 1 cited
Cumulant GAN
Yannis Pantazis, Dipjyoti Paul, Michail Fasoulakis +2
In this paper, we propose a novel loss function for training Generative Adversarial Networks (GANs) aiming towards deeper theoretical understanding as well as improved stability an…
cs.LG2018
Training Generative Adversarial Networks with Weights
Yannis Pantazis, Dipjyoti Paul, Michail Fasoulakis +1
The impressive success of Generative Adversarial Networks (GANs) is often overshadowed by the difficulties in their training. Despite the continuous efforts and improvements, there…