An Axiomatic Approach to Tensor Rank Functions
Wayne W. Wheeler

TL;DR
This paper critiques existing axioms for tensor rank functions, proposes stronger axioms to eliminate undesirable properties, and addresses questions about the submax rank function.
Contribution
It introduces a stronger set of axioms for tensor rank functions and resolves open questions related to the submax rank function.
Findings
Existing axioms allow undesirable properties in tensor rank functions
Stronger axioms successfully eliminate these properties
Questions about the submax rank function are answered
Abstract
Recent work of Qi et al. arXiv:2004.11240v7 proposes a set of axioms for tensor rank functions. The current paper presents examples showing that their axioms allow rank functions to have some undesirable properties, and a stronger set of axioms is suggested that eliminates these properties. Two questions raised by Qi et al. involving the submax rank function are also answered.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTensor decomposition and applications · Sparse and Compressive Sensing Techniques · Error Correcting Code Techniques
