1 code implementation • 27 Mar 2024 • Hamidreza Eivazi, Stefan Wittek, Andreas Rausch
Operator learning provides methods to approximate mappings between infinite-dimensional function spaces.
1 code implementation • 12 Jul 2023 • Fidae El Morer, Stefan Wittek, Andreas Rausch
This work proposes a methodology to assess their suitability to plan inspections considering three dimensions: accuracy metrics, ability to produce long-term degradation curves and explainability.
no code implementations • 17 Jun 2023 • Nour Habib, Yunsu Cho, Abhishek Buragohain, Andreas Rausch
So Machine learning (ML) based anomaly detection, a technique to identify data that does not belong to the training data could be used as a safety measuring indicator during the development and operational time of such AI-based components.
no code implementations • 24 Aug 2021 • Andreas Rausch, Azarmidokht Motamedi Sedeh, Meng Zhang
Thus, novelty detection - identifying data that differ in some respect from the data used for training - becomes a safety measure for system development and operation.