7 citations · 7 across the 1 of their papers we have counts for
2 papers
cs.LG2021★ 7 cited
Representative & Fair Synthetic Data
Paul Tiwald, Alexandra Ebert, Daniel T. Soukup
Algorithms learn rules and associations based on the training data that they are exposed to. Yet, the very same data that teaches machines to understand and predict the world, cont…
cs.LG2019
On the estimation of the Wasserstein distance in generative models
Thomas Pinetz, Daniel Soukup, Thomas Pock
Generative Adversarial Networks (GANs) have been used to model the underlying probability distribution of sample based datasets. GANs are notoriuos for training difficulties and th…