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pro vyhledávání: '"Shalova, Anna"'
We study the limiting dynamics of a large class of noisy gradient descent systems in the overparameterized regime. In this regime the set of global minimizers of the loss is large, and when initialized in a neighbourhood of this zero-loss set a noisy
Externí odkaz:
http://arxiv.org/abs/2404.12293
Autor:
Shalova, Anna, Oseledets, Ivan
The identification of nonlinear dynamics from observations is essential for the alignment of the theoretical ideas and experimental data. The last, in turn, is often corrupted by the side effects and noise of different natures, so probabilistic appro
Externí odkaz:
http://arxiv.org/abs/2006.03445
Autor:
Shalova, Anna, Oseledets, Ivan
Proper states' representations are the key to the successful dynamics modeling of chaotic systems. Inspired by recent advances of deep representations in various areas such as natural language processing and computer vision, we propose the adaptation
Externí odkaz:
http://arxiv.org/abs/2002.05111
Akademický článek
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