mlsanityData to 14 Oct 2026

Singular Value Decomposition and Neural Networks

arXiv 1906.11755 ↗First posted 27 Jun 2019cs.LG cs.NA math.NAcited by 2

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Abstract (arXiv)

Singular Value Decomposition (SVD) constitutes a bridge between the linear algebra concepts and multi-layer neural networks---it is their linear analogy. Besides of this insight, it can be used as a good initial guess for the network parameters, leading to substantially better optimization results.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 Jun 2019.

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Citing papers per year: 2024: 1; 2025: 0; 2026: 1.

2 papers.

  1. 2024Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A Surveycited by 7
  2. 2026Metacognitive Steering: Learning the Structure of Scientific Judgmentcited by 0