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Vladislav Voroninski
Vladislav Voroninski
CEO, Helm.ai
Bestätigte E-Mail-Adresse bei mit.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Phaselift: Exact and stable signal recovery from magnitude measurements via convex programming
EJ Candes, T Strohmer, V Voroninski
Communications on Pure and Applied Mathematics 66 (8), 1241-1274, 2013
14862013
Phase retrieval via matrix completion
EJ Candes, YC Eldar, T Strohmer, V Voroninski
SIAM review 57 (2), 225-251, 2015
12372015
A survey of structure from motion*.
O Özyeşil, V Voroninski, R Basri, A Singer
Acta Numerica 26, 305-364, 2017
5392017
The non-convex Burer-Monteiro approach works on smooth semidefinite programs
N Boumal, V Voroninski, A Bandeira
Advances in Neural Information Processing Systems 29, 2016
3032016
Sparse signal recovery from quadratic measurements via convex programming
X Li, V Voroninski
SIAM Journal on Mathematical Analysis 45 (5), 3019-3033, 2013
2872013
Phase retrieval under a generative prior
P Hand, O Leong, V Voroninski
Advances in Neural Information Processing Systems 31, 2018
2182018
On the low-rank approach for semidefinite programs arising in synchronization and community detection
AS Bandeira, N Boumal, V Voroninski
Conference on learning theory, 361-382, 2016
1762016
Global guarantees for enforcing deep generative priors by empirical risk
P Hand, V Voroninski
Conference On Learning Theory, 970-978, 2018
1252018
Deterministic Guarantees for Burer‐Monteiro Factorizations of Smooth Semidefinite Programs
N Boumal, V Voroninski, AS Bandeira
Communications on Pure and Applied Mathematics 73 (3), 581-608, 2020
1182020
An elementary proof of convex phase retrieval in the natural parameter space via the linear program phasemax
P Hand, V Voroninski
arXiv preprint arXiv:1611.03935, 2016
722016
Shapefit and shapekick for robust, scalable structure from motion
T Goldstein, P Hand, C Lee, V Voroninski, S Soatto
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
612016
Global guarantees for enforcing deep generative priors by empirical risk
P Hand, V Voroninski
IEEE Transactions on Information Theory 66 (1), 401-418, 2019
542019
A strong restricted isometry property, with an application to phaseless compressed sensing
V Voroninski, Z Xu
Applied and computational harmonic analysis 40 (2), 386-395, 2016
522016
Compressed sensing from phaseless gaussian measurements via linear programming in the natural parameter space
P Hand, V Voroninski
arXiv preprint arXiv:1611.05985, 2016
472016
A provably convergent scheme for compressive sensing under random generative priors
W Huang, P Hand, R Heckel, V Voroninski
Journal of Fourier Analysis and Applications 27, 1-34, 2021
392021
Corruption robust phase retrieval via linear programming
P Hand, V Voroninski
arXiv preprint arXiv:1612.03547, 2016
322016
Robotic path planning and visibility with limited sensor data
Y Landa, D Galkowski, YR Huang, A Joshi, C Lee, KK Leung, G Malla, ...
2007 American Control Conference, 5425-5430, 2007
312007
Determination of all pure quantum states from a minimal number of observables
D Mondragon, V Voroninski
arXiv preprint arXiv:1306.1214, 2013
302013
A second generation micro-vehicle testbed for cooperative control and sensing strategies
ALB Chung H. Hsieh, Yuan R. Huang, Abhijeet Joshi, Kevin Leung, Vlad Voroninski
2007 American Control Conference, 1900-1907, 2007
292007
Quantum tomography from few full-rank observables
V Voroninski
arXiv preprint arXiv:1309.7669, 2013
212013
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