10 citations · 25 across the 6 of their papers we have counts for
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cs.LG2020★ 10 cited
Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network
Magda Friedjungová, Daniel Vašata, Maksym Balatsko +1
Missing data is one of the most common preprocessing problems. In this paper, we experimentally research the use of generative and non-generative models for feature reconstruction.…
cs.LG2020★ 1 cited
Unsupervised Latent Space Translation Network
Magda Friedjungová, Daniel Vašata, Tomáš Chobola +1
One task that is often discussed in a computer vision is the mapping of an image from one domain to a corresponding image in another domain known as image-to-image translation. Cur…