18 citations · 42 across the 12 of their papers we have counts for
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stat.ML2018
Generating Multi-Categorical Samples with Generative Adversarial Networks
Ramiro Camino, Christian Hammerschmidt, Radu State
We propose a method to train generative adversarial networks on mutivariate feature vectors representing multiple categorical values. In contrast to the continuous domain, where GA…
cs.LG2018
Impact of Biases in Big Data
Patrick Glauner, Petko Valtchev, Radu State
The underlying paradigm of big data-driven machine learning reflects the desire of deriving better conclusions from simply analyzing more data, without the necessity of looking at…