6 citations · 7 across the 2 of their papers we have counts for
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stat.ML2022★ 1 cited
Functional Anomaly Detection: a Benchmark Study
Guillaume Staerman, Eric Adjakossa, Pavlo Mozharovskyi +3
The increasing automation in many areas of the Industry expressly demands to design efficient machine-learning solutions for the detection of abnormal events. With the ubiquitous d…
stat.ML2018★ 6 cited
Anomaly detection with Wasserstein GAN
Ilyass Haloui, Jayant Sen Gupta, Vincent Feuillard
Generative adversarial networks are a class of generative algorithms that have been widely used to produce state-of-the-art samples. In this paper, we investigate GAN to perform an…