xLSTMAD: A Powerful xLSTM-based Method for Anomaly Detection

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Bibliographic Details
Main Authors: Faber, Kamil, Pietroń, Marcin, Żurek, Dominik, Corizzo, Roberto
Format: Preprint
Published: 2025
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