Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction

Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction

6 October 2023

Sara Fridovich-Keil

Fabrizio Valdivia

Gordon Wetzstein

Benjamin Recht

Mahdi Soltanolkotabi

Papers citing "Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction"

5 / 5 papers shown

Title
A Local Polyak-Lojasiewicz and Descent Lemma of Gradient Descent For Overparametrized Linear Models Ziqing Xu Hancheng Min Salma Tarmoun Enrique Mallada Rene Vidal 80 0 0 16 May 2025
Plenoxels: Radiance Fields without Neural Networks Alex Yu Sara Fridovich-Keil Matthew Tancik Qinhong Chen Benjamin Recht Angjoo Kanazawa 237 1,634 0 09 Dec 2021
Structured signal recovery from quadratic measurements: Breaking sample complexity barriers via nonconvex optimization Mahdi Soltanolkotabi 49 101 0 20 Feb 2017
Isometric sketching of any set via the Restricted Isometry Property Samet Oymak Benjamin Recht Mahdi Soltanolkotabi 46 36 0 11 Jun 2015
Phase Retrieval via Wirtinger Flow: Theory and Algorithms Emmanuel Candes Xiaodong Li Mahdi Soltanolkotabi 137 1,283 0 03 Jul 2014