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…
stat.ML2017★ 1 cited
Human in the Loop: Interactive Passive Automata Learning via Evidence-Driven State-Merging Algorithms
Christian A. Hammerschmidt, Radu State, Sicco Verwer
We present an interactive version of an evidence-driven state-merging (EDSM) algorithm for learning variants of finite state automata. Learning these automata often amounts to reco…