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• W3204184136 abstract "This tutorial paper provides an introduction to recently developed tools for machine learning, especially learning dynamical systems (system identification), with stability and robustness constraints. The main ideas are drawn from contraction analysis and robust control, but adapted to problems in which large-scale models can be learnt with behavioural guarantees. We illustrate the methods with applications in robust image recognition and system identification." @default.
• W3204184136 created "2021-10-11" @default.
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• W3204184136 date "2021-12-14" @default.
• W3204184136 modified "2023-10-17" @default.
• W3204184136 title "Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial" @default.
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• W3204184136 doi "https://doi.org/10.1109/cdc45484.2021.9683128" @default.
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