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ChronosAD: Leveraging Time Series Foundation Models for Accurate Anomaly Detection

The official implementation of the paper ChronosAD: Leveraging Time Series Foundation Models for Accurate Anomaly Detection accepted at the 24th IEEE International Conference on Industrial Informatics (INDIN 2026).

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The code will be available soon.

Authors

Uzair Khan1, Luigi Capogrosso2, Francesco Biondani1, Michele Magno3,2, Franco Fummi1, Francesco Setti1, Marco Cristani1

1 University of Verona

2 Interdisciplinary Transformation University of Austria

3 ETH Zurich

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Official implementation of the paper "ChronosAD: Leveraging Time Series Foundation Models for Accurate Anomaly Detection" accepted @ INDIN 2026.

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