21 citations · 96 across the 19 of their papers we have counts for
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cs.LG2020★ 1 cited
Partially Conditioned Generative Adversarial Networks
Francisco J. Ibarrola, Nishant Ravikumar, Alejandro F. Frangi
Generative models are undoubtedly a hot topic in Artificial Intelligence, among which the most common type is Generative Adversarial Networks (GANs). These architectures let one sy…
cs.LG2019
A Divide-and-Conquer Approach towards Understanding Deep Networks
Weilin Fu, Katharina Breininger, Roman Schaffert +2
Deep neural networks have achieved tremendous success in various fields including medical image segmentation. However, they have long been criticized for being a black-box, in that…