Vladislav Voroninski

According to our database, Vladislav Voroninski authored at least 22 papers between 2011 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

No Statistical-Computational Gap in Spiked Matrix Models with Generative Network Priors.

Jorio Cocola, Paul Hand, Vladislav Voroninski

Entropy, 2021

2020

Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk.

Paul Hand, Vladislav Voroninski

IEEE Trans. Inf. Theory, 2020

Optimal Sample Complexity of Gradient Descent for Amplitude Flow via Non-Lipschitz Matrix Concentration.

Paul Hand, Oscar Leong, Vladislav Voroninski

CoRR, 2020

Compressive Phase Retrieval: Optimal Sample Complexity with Deep Generative Priors.

Paul Hand, Oscar Leong, Vladislav Voroninski

CoRR, 2020

Nonasymptotic Guarantees for Low-Rank Matrix Recovery with Generative Priors.

Jorio Cocola, Paul Hand, Vladislav Voroninski

CoRR, 2020

Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative Priors.

Jorio Cocola, Paul Hand, Vladislav Voroninski

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

Exact Simultaneous Recovery of Locations and Structure from Known Orientations and Corrupted Point Correspondences.

Paul Hand, Choongbum Lee, Vladislav Voroninski

Discret. Comput. Geom., 2018

Deep Denoising: Rate-Optimal Recovery of Structured Signals with a Deep Prior.

Reinhard Heckel, Wen Huang, Paul Hand, Vladislav Voroninski

CoRR, 2018

Phase Retrieval Under a Generative Prior.

Paul Hand, Oscar Leong, Vladislav Voroninski

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

A survey of structure from motion.

Onur Özyesil, Vladislav Voroninski, Ronen Basri, Amit Singer

Acta Numer., 2017

2016

Corruption Robust Phase Retrieval via Linear Programming.

Paul Hand, Vladislav Voroninski

CoRR, 2016

Compressed Sensing from Phaseless Gaussian Measurements via Linear Programming in the Natural Parameter Space.

Paul Hand, Vladislav Voroninski

CoRR, 2016

An Elementary Proof of Convex Phase Retrieval in the Natural Parameter Space via the Linear Program PhaseMax.

Paul Hand, Vladislav Voroninski

CoRR, 2016

The non-convex Burer-Monteiro approach works on smooth semidefinite programs.

Nicolas Boumal, Vladislav Voroninski, Afonso S. Bandeira

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

ShapeFit and ShapeKick for Robust, Scalable Structure from Motion.

Thomas A. Goldstein, Paul Hand, Choongbum Lee, Vladislav Voroninski, Stefano Soatto

Proceedings of the Computer Vision - ECCV 2016, 2016

On the low-rank approach for semidefinite programs arising in synchronization and community detection.

Afonso S. Bandeira, Nicolas Boumal, Vladislav Voroninski

Proceedings of the 29th Conference on Learning Theory, 2016

2015

Phase Retrieval via Matrix Completion.

Emmanuel J. Candès, Yonina C. Eldar, Thomas Strohmer, Vladislav Voroninski

SIAM Rev., 2015

ShapeFit: Exact location recovery from corrupted pairwise directions.

Paul Hand, Choongbum Lee, Vladislav Voroninski

CoRR, 2015

2014

A strong restricted isometry property, with an application to phaseless compressed sensing.

Vladislav Voroninski, Zhiqiang Xu

CoRR, 2014

2013

Sparse Signal Recovery from Quadratic Measurements via Convex Programming.

Xiaodong Li, Vladislav Voroninski

SIAM J. Math. Anal., 2013

Quantum Tomography From Few Full-Rank Observables.

Vladislav Voroninski

CoRR, 2013

2011

PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming

Emmanuel J. Candès, Thomas Strohmer, Vladislav Voroninski

CoRR, 2011