Search Results for author: Robert Vandermeulen

Found 2 papers, 1 papers with code

Deep One-Class Classification

1 code implementation • ICML 2018 • Lukas Ruff, Robert Vandermeulen, Nico Goernitz, Lucas Deecke, Shoaib Ahmed Siddiqui, Alexander Binder, Emmanuel Müller, Marius Kloft

Despite the great advances made by deep learning in many machine learning problems, there is a relative dearth of deep learning approaches for anomaly detection.

Ranked #32 on Anomaly Detection on One-class CIFAR-10

Classification One-Class Classification +1

667

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Anomaly Detection with Generative Adversarial Networks

no code implementations • ICLR 2018 • Lucas Deecke, Robert Vandermeulen, Lukas Ruff, Stephan Mandt, Marius Kloft

Many anomaly detection methods exist that perform well on low-dimensional problems however there is a notable lack of effective methods for high-dimensional spaces, such as images.

Anomaly Detection

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