Vladislav Voroninski

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

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Vladislav Voroninski

CEO, Helm.ai

E-mail confirmado em mit.edu - Página inicial

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


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	1448	2013
Phase retrieval via matrix completion EJ Candes, YC Eldar, T Strohmer, V Voroninski SIAM review 57 (2), 225-251, 2015	1204	2015
A survey of structure from motion*. O Özyeşil, V Voroninski, R Basri, A Singer Acta Numerica 26, 305-364, 2017	490	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	284	2016
Sparse signal recovery from quadratic measurements via convex programming X Li, V Voroninski SIAM Journal on Mathematical Analysis 45 (5), 3019-3033, 2013	281	2013
Phase retrieval under a generative prior P Hand, O Leong, V Voroninski Advances in Neural Information Processing Systems 31, 2018	207	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	172	2016
Global guarantees for enforcing deep generative priors by empirical risk P Hand, V Voroninski Conference On Learning Theory, 970-978, 2018	122	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	111	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	70	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	56	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	53	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	38	2021
Determination of all pure quantum states from a minimal number of observables D Mondragon, V Voroninski arXiv preprint arXiv:1306.1214, 2013	30	2013
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	30	2007
Corruption robust phase retrieval via linear programming P Hand, V Voroninski arXiv preprint arXiv:1612.03547, 2016	29	2016
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
Shapefit: Exact location recovery from corrupted pairwise directions P Hand, C Lee, V Voroninski Communications on Pure and Applied Mathematics 71 (1), 3-50, 2018	19	2018

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