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Reading List

Introductory Material

Papers with at least some very introductory content include:

More Advanced ML-related Material

Here are some papers with content that's currently research-level for machine learning applications.

Glossary of terms

This is a list of terms that we need to understand in order to understand the work on tensors in ML:

  • Tensor rank, mode, order
  • CP Decomposition
  • Tucker Decomposition

Critical intuitions:

  • Tensors (even symmetric) don't need to have orthogonal decompositions.