23 citations · 55 across the 7 of their papers we have counts for
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cs.LG2022
Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation
Qinghua Zhou, Alexander N. Gorban, Evgeny M. Mirkes +3
Finding best architectures of learning machines, such as deep neural networks, is a well-known technical and theoretical challenge. Recent work by Mellor et al (2021) showed that t…
cs.LG2021★ 12 cited
High-dimensional separability for one- and few-shot learning
Alexander N. Gorban, Bogdan Grechuk, Evgeny M. Mirkes +2
This work is driven by a practical question: corrections of Artificial Intelligence (AI) errors. These corrections should be quick and non-iterative. To solve this problem without…