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1. • CommentRowNumber1.
   • CommentAuthorzskoda
   • CommentTimeApr 7th 2023
   • PermaLink
   Author: zskoda
   Format: MarkdownItexOn [[machine learning]]: * S. Wei, Daniel Murfet, M. Gong, H. Li , J. Gell-Redman, T. Quella, _Deep learning is singular, and that’s good_, IEEE Transactions on neural networks and learning systems [pdf](https://www.suswei.com/publication/wei-2022-singular/wei-2022-singular.pdf) Category of [[matrix factorization]]s is described in terms of [[linear logic]] and the [[geometry of interactions]] in * Daniel Murfet, _Computing with cut systems_, [arXiv:1402.4541](https://arxiv.org/abs/1402.4541) A bicategory of [[Landau-Ginzburg model]]s where matrix factorizations supply morphisms is studied in * [[Nils Carqueville]], Daniel Murfet, _Adjunctions and defects in Landau-Ginzburg models_, Advances in Mathematics 289 (2016) 480--566 [doi](https://doi.org/10.1016/j.aim.2015.03.033) <a href="https://ncatlab.org/nlab/revision/diff/Daniel+Murfet/3">diff</a>, <a href="https://ncatlab.org/nlab/revision/Daniel+Murfet/3">v3</a>, <a href="https://ncatlab.org/nlab/show/Daniel+Murfet">current</a>

   On machine learning:

   • S. Wei, Daniel Murfet, M. Gong, H. Li , J. Gell-Redman, T. Quella, Deep learning is singular, and that’s good, IEEE Transactions on neural networks and learning systems pdf

   Category of matrix factorizations is described in terms of linear logic and the geometry of interactions in

   • Daniel Murfet, Computing with cut systems, arXiv:1402.4541

   A bicategory of Landau-Ginzburg models where matrix factorizations supply morphisms is studied in

   • Nils Carqueville, Daniel Murfet, Adjunctions and defects in Landau-Ginzburg models, Advances in Mathematics 289 (2016) 480–566 doi

   diff, v3, current