no code implementations • 6 Dec 2018 • Ilyass Haloui, Jayant Sen Gupta, Vincent Feuillard
W-GAN with encoder seems to produce state of the art anomaly detection scores on MNIST dataset and we investigate its usage on multi-variate time series.
no code implementations • 14 May 2020 • Gabriel Rodriguez Garcia, Gabriel Michau, Mélanie Ducoffe, Jayant Sen Gupta, Olga Fink
Essential characteristics of time series, situated outside the time domain, are often difficult to capture with state-of-the-art anomaly detection methods when no transformations have been applied to the time series.
no code implementations • 13 Jan 2022 • Guillaume Staerman, Eric Adjakossa, Pavlo Mozharovskyi, Vera Hofer, Jayant Sen Gupta, Stephan Clémençon
After an overview of the state-of-the-art and a visual-descriptive study, a variety of anomaly detection methods are compared.