Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction.
- 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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Cite this work
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
Source records
- europe-pmc · retrieved 2026-09-25T13:24:55.859Z