Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction.

Fridovich-Keil S, Valdivia F, Wetzstein G, Recht B, Soltanolkotabi M.

Open source

DOI
10.1109/tit.2026.3677729
Published
2026-03-26
Container
IEEE Trans Inf Theory
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1109/tit.2026.3677729,
  title = {Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction.},
  author = {Fridovich-Keil S and  Valdivia F and  Wetzstein G and  Recht B and  Soltanolkotabi M.},
  year = {2026},
  journal = {IEEE Trans Inf Theory},
  doi = {10.1109/tit.2026.3677729},
  url = {https://doi.org/10.1109/tit.2026.3677729}
}

RIS

TY  - JOUR
TI  - Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction.
AU  - Fridovich-Keil S
AU  -  Valdivia F
AU  -  Wetzstein G
AU  -  Recht B
AU  -  Soltanolkotabi M.
PY  - 2026
JO  - IEEE Trans Inf Theory
DO  - 10.1109/tit.2026.3677729
UR  - https://doi.org/10.1109/tit.2026.3677729
ER  - 

APA

S, F., F, V., G, W., B, R., & M., S. (2026). Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction.. IEEE Trans Inf Theory. https://doi.org/10.1109/tit.2026.3677729

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