Who Cited It

Neural Tangent Kernel: Convergence and Generalization in Neural Networks

2018 · arXiv (Cornell University) · 1,489 citations · 2 from inside this corpus

Arthur Paul Jacot low, Franck Gabriel low, Clément Hongler

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Neural Tangent Kernel: Convergence and Generalization in Neural Networks (2018)Neural Tangent Kernel: Conver…A review of uncertainty quantification in deep learning: Techniques, applications and cha… (2021)A review of uncertainty quant…Scaling Laws for Neural Language Models (2020)Scaling Laws for Neural Langu…
2 of 2 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

What cites it, inside the corpus

PaperYearCited
A review of uncertainty quantification in deep learning: Techniques, applications and cha…20212,644
Scaling Laws for Neural Language Models20201,537

Links

DOI · Open access copy · OpenAlex record

Topics

Neural Networks and ApplicationsComputer Science
Model Reduction and Neural NetworksPhysics and Astronomy
Stochastic Gradient Optimization TechniquesComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports3 author record(s) attached.
  • supports1 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:58+00:00.

sha256 88a60cdbb94c6a13…