Vladislav Voroninski

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Paul HandAssociate Professor of Mathematics and Computer Science, Northeastern UniversityVerified email at northeastern.edu
Emmanuel CandesThe Simons Chair in Mathematics and Statistics, Stanford UniversityVerified email at stanford.edu
Afonso S. BandeiraProfessor of Mathematics, ETH ZurichVerified email at math.ethz.ch
Nicolas BoumalEcole Polytechnique Fédérale de Lausanne (EPFL)Verified email at epfl.ch
Oscar LeongAssistant Professor of Statistics and Data Science, UCLAVerified email at stat.ucla.edu
Amit SingerPrinceton UniversityVerified email at math.princeton.edu
Ronen BasriProfessor of Computer Science, Weizmann Institute of ScienceVerified email at weizmann.ac.il
Onur OzyesilResearch Scientist/Engineer at Helm.aiVerified email at alumni.princeton.edu
Choongbum LeeMITVerified email at mit.edu
Wen HuangXiamen UniversityVerified email at xmu.edu.cn
Reinhard HeckelTechnical University of Munich and Rice UniversityVerified email at rice.edu
Xiaodong LiAssociate Professor, University of California at DavisVerified email at ucdavis.edu
A JOSHI-Verified email at ucla.edu
Andrea BertozziProf. of Math. and Mech. & Aero. Eng., Betsy Wood Knapp Chair for Innovation and Creativity, UCLAVerified email at math.ucla.edu
Stefano SoattoProfessor of Computer Science, UCLA; Vice President, AWS AIVerified email at ucla.edu
Tom GoldsteinVolpi-Cupal Professor of Computer Science, University of MarylandVerified email at cs.umd.edu
Zhiqiang XuProfessor, Academy of Math. And Sys. Sciences, Chinese Academy of ScienceVerified email at lsec.cc.ac.cn
Dustin G. MixonAssociate Professor, Department of Mathematics, The Ohio State UniversityVerified email at osu.edu
Thomas StrohmerProfessor of Mathematics, University of California at Davis

Vladislav Voroninski

CEO, Helm.ai

Verified email at mit.edu - Homepage

Deep Learning Unsupervised Learning Computer Vision Phase Retrieval Non-convex Optimization


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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	1486	2013
Phase retrieval via matrix completion EJ Candes, YC Eldar, T Strohmer, V Voroninski SIAM review 57 (2), 225-251, 2015	1237	2015
A survey of structure from motion*. O Özyeşil, V Voroninski, R Basri, A Singer Acta Numerica 26, 305-364, 2017	538	2017
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	302	2016
Sparse signal recovery from quadratic measurements via convex programming X Li, V Voroninski SIAM Journal on Mathematical Analysis 45 (5), 3019-3033, 2013	287	2013
Phase retrieval under a generative prior P Hand, O Leong, V Voroninski Advances in Neural Information Processing Systems 31, 2018	217	2018
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	174	2016
Global guarantees for enforcing deep generative priors by empirical risk P Hand, V Voroninski Conference On Learning Theory, 970-978, 2018	125	2018
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	117	2020
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	72	2016
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	61	2016
Global guarantees for enforcing deep generative priors by empirical risk P Hand, V Voroninski IEEE Transactions on Information Theory 66 (1), 401-418, 2019	54	2019
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	52	2016
Compressed sensing from phaseless gaussian measurements via linear programming in the natural parameter space P Hand, V Voroninski arXiv preprint arXiv:1611.05985, 2016	47	2016
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	39	2021
Corruption robust phase retrieval via linear programming P Hand, V Voroninski arXiv preprint arXiv:1612.03547, 2016	32	2016
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	31	2007
Determination of all pure quantum states from a minimal number of observables D Mondragon, V Voroninski arXiv preprint arXiv:1306.1214, 2013	30	2013
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	29	2007
Quantum tomography from few full-rank observables V Voroninski arXiv preprint arXiv:1309.7669, 2013	21	2013

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