Invariants and conservation laws convey critical information about the underlying dynamics of a system. yet it is generally infeasible to find them from large-scale data without any prior knowledge or human insight. We propose ConservNet to achieve this goal. a neural network that spontaneously discovers a conserved quantity from grouped data where the members of each group share inva... https://www.ldartstudio.com/product-category/hair-wrap/
Discovering invariants via machine learning
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