Graphical model for factorization and completion of relatively high rank tensors by sparse sampling

arXiv:2510.17886v3 Announce Type: replace-cross Abstract: We consider tensor factorizations based on sparse measurements of the components of relatively high rank tensors. The measurements are designed in a way that the underlying graph of interactions is a random graph. The s...

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