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Marius Kloft

Technical University of Kaiserslautern

Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings


Oct 26, 2022
Ajay Chawda, Stefanie Grimm, Marius Kloft

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* This work has been accepted at Proceedings of the Neurips 2022 Workshop on Synthetic Data 4ML 

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Training Normalizing Flows from Dependent Data


Sep 29, 2022
Matthias Kirchler, Christoph Lippert, Marius Kloft

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Raising the Bar in Graph-level Anomaly Detection


May 27, 2022
Chen Qiu, Marius Kloft, Stephan Mandt, Maja Rudolph

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* To appear in IJCAI-ECAI 2022 

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Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images


May 23, 2022
Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus-Robert Müller, Marius Kloft

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* 37 pages, preprint. arXiv admin note: text overlap with arXiv:2006.00339 

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Latent Outlier Exposure for Anomaly Detection with Contaminated Data


Feb 20, 2022
Chen Qiu, Aodong Li, Marius Kloft, Maja Rudolph, Stephan Mandt

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Detecting Anomalies within Time Series using Local Neural Transformations


Feb 08, 2022
Tim Schneider, Chen Qiu, Marius Kloft, Decky Aspandi Latif, Steffen Staab, Stephan Mandt, Maja Rudolph

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Trainability for Universal GNNs Through Surgical Randomness


Dec 08, 2021
Billy Joe Franks, Markus Anders, Marius Kloft, Pascal Schweitzer

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Learning Interpretable Concept Groups in CNNs


Sep 21, 2021
Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen, Yunwen Lei, Matthias Enders, Damian Borth, Marius Kloft

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Explainability Requires Interactivity


Sep 16, 2021
Matthias Kirchler, Martin Graf, Marius Kloft, Christoph Lippert

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