Paul Hand

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 52

Top Topics

Convex Programming

Generative Model

Top Venues

IEEE J. Sel. Areas Inf. Theory

Publications

Daniel Goldfarb, Itay Evron, Nir Weinberger, Daniel Soudry, Paul Hand
The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting - An Analytical Model. CoRR (2024)
Daniel Goldfarb, Itay Evron, Nir Weinberger, Daniel Soudry, Paul Hand
The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting - An Analytical Model. ICLR (2024)
Sean Gunn, Jorio Cocola, Paul Hand
Regularized Training of Intermediate Layers for Generative Models for Inverse Problems. Trans. Mach. Learn. Res. 2023 (2023)
Daniel Goldfarb, Paul Hand
Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized Regime. AISTATS (2023)
Sean Gunn, Jorio Cocola, Paul Hand
Regularized Training of Intermediate Layers for Generative Models for Inverse Problems. CoRR (2022)
Daniel Goldfarb, Paul Hand
Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized Regime. CoRR (2022)
Jonathan Scarlett, Reinhard Heckel, Miguel R. D. Rodrigues, Paul Hand, Yonina C. Eldar
Theoretical Perspectives on Deep Learning Methods in Inverse Problems. IEEE J. Sel. Areas Inf. Theory 3 (3) (2022)
Jonathan Scarlett, Reinhard Heckel, Miguel R. D. Rodrigues, Paul Hand, Yonina C. Eldar
Theoretical Perspectives on Deep Learning Methods in Inverse Problems. CoRR (2022)
Paul Hand, Reinhard Heckel, Jonathan Scarlett
Guest Editorial. IEEE J. Sel. Areas Inf. Theory 3 (3) (2022)
Grady Daniels, Tyler Maunu, Paul Hand
Score-based Generative Neural Networks for Large-Scale Optimal Transport. NeurIPS (2021)
Max Daniels, Tyler Maunu, Paul Hand
Score-based Generative Neural Networks for Large-Scale Optimal Transport. CoRR (2021)
Jorio Cocola, Paul Hand, Vladislav Voroninski
No Statistical-Computational Gap in Spiked Matrix Models with Generative Network Priors. Entropy 23 (1) (2021)
Niklas Smedemark-Margulies, Jung Yeon Park, Max Daniels, Rose Yu, Jan-Willem van de Meent, Paul Hand
Generator Surgery for Compressed Sensing. CoRR (2021)
Jorio Cocola, Paul Hand, Vladislav Voroninski
Nonasymptotic Guarantees for Low-Rank Matrix Recovery with Generative Priors. CoRR (2020)
Paul Hand, Vladislav Voroninski
Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk. IEEE Trans. Inf. Theory 66 (1) (2020)
Max Daniels, Paul Hand, Reinhard Heckel
Reducing the Representation Error of GAN Image Priors Using the Deep Decoder. CoRR (2020)
Alireza Aghasi, Ali Ahmed, Paul Hand, Babhru Joshi
Bilinear Compressed Sensing Under Known Signs via Convex Programming. IEEE Trans. Signal Process. 68 (2020)
Jorio Cocola, Paul Hand
Global Convergence of Sobolev Training for Overparameterized Neural Networks. LOD (1) (2020)
Paul Hand, Oscar Leong, Vladislav Voroninski
Compressive Phase Retrieval: Optimal Sample Complexity with Deep Generative Priors. CoRR (2020)
Muhammad Asim, Max Daniels, Oscar Leong, Ali Ahmed, Paul Hand
Invertible generative models for inverse problems: mitigating representation error and dataset bias. ICML (2020)
Jorio Cocola, Paul Hand, Vladislav Voroninski
Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative Priors. NeurIPS (2020)
Jorio Cocola, Paul Hand
Global Convergence of Sobolev Training for Overparametrized Neural Networks. CoRR (2020)
Paul Hand, Oscar Leong, Vladislav Voroninski
Optimal Sample Complexity of Gradient Descent for Amplitude Flow via Non-Lipschitz Matrix Concentration. CoRR (2020)
Paul Hand, Babhru Joshi
Global Guarantees for Blind Demodulation with Generative Priors. CoRR (2019)
Muhammad Asim, Ali Ahmed, Paul Hand
Invertible generative models for inverse problems: mitigating representation error and dataset bias. CoRR (2019)
Alireza Aghasi, Ali Ahmed, Paul Hand, Babhru Joshi
Bilinear Compressed Sensing under known Signs via Convex Programming. CoRR (2019)
Paul Hand, Babhru Joshi
Global Guarantees for Blind Demodulation with Generative Priors. NeurIPS (2019)
Reinhard Heckel, Paul Hand
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks. ICLR (Poster) (2019)
Ali Ahmed, Alireza Aghasi, Paul Hand
Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming. CoRR (2019)
Ali Ahmed, Alireza Aghasi, Paul Hand
Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming. J. Mach. Learn. Res. 20 (2019)
Paul Hand, Choongbum Lee, Vladislav Voroninski
Exact Simultaneous Recovery of Locations and Structure from Known Orientations and Corrupted Point Correspondences. Discret. Comput. Geom. 59 (2) (2018)
Ali Ahmed, Alireza Aghasi, Paul Hand
Blind Deconvolutional Phase Retrieval via Convex Programming. NeurIPS (2018)
Paul Hand, Oscar Leong, Vladislav Voroninski
Phase Retrieval Under a Generative Prior. CoRR (2018)
Ali Ahmed, Alireza Aghasi, Paul Hand
Blind Deconvolutional Phase Retrieval via Convex Programming. CoRR (2018)
Paul Hand, Oscar Leong, Vladislav Voroninski
Phase Retrieval Under a Generative Prior. NeurIPS (2018)
Reinhard Heckel, Wen Huang, Paul Hand, Vladislav Voroninski
Deep Denoising: Rate-Optimal Recovery of Structured Signals with a Deep Prior. CoRR (2018)
Wen Huang, Pierre-Antoine Absil, Kyle A. Gallivan, Paul Hand
ROPTLIB: An Object-Oriented C++ Library for Optimization on Riemannian Manifolds. ACM Trans. Math. Softw. 44 (4) (2018)
Reinhard Heckel, Paul Hand
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks. CoRR (2018)
Wen Huang, Paul Hand
Blind Deconvolution by a Steepest Descent Algorithm on a Quotient Manifold. SIAM J. Imaging Sci. 11 (4) (2018)
Alireza Aghasi, Ali Ahmed, Paul Hand, Babhru Joshi
A convex program for bilinear inversion of sparse vectors. CoRR (2018)
Paul Hand, Vladislav Voroninski
Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk. COLT (2018)
Alireza Aghasi, Ali Ahmed, Paul Hand, Babhru Joshi
A convex program for bilinear inversion of sparse vectors. NeurIPS (2018)
Paul Hand, Vladislav Voroninski
Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk. CoRR (2017)
Alireza Aghasi, Ali Ahmed, Paul Hand
Convex inversion of the entrywise product of real signals with known signs. ACSSC (2017)
Wen Huang, Paul Hand
Blind Deconvolution by a Steepest Descent Algorithm on a Quotient Manifold. CoRR (2017)
Alireza Aghasi, Ali Ahmed, Paul Hand
BranchHull: Convex bilinear inversion from the entrywise product of signals with known signs. CoRR (2017)
Paul Hand, Vladislav Voroninski
Compressed Sensing from Phaseless Gaussian Measurements via Linear Programming in the Natural Parameter Space. CoRR (2016)
Paul Hand, Thang Huynh
Robust phaselift for phase retrieval under corruptions. ACSSC (2016)
Paul Hand, Vladislav Voroninski
An Elementary Proof of Convex Phase Retrieval in the Natural Parameter Space via the Linear Program PhaseMax. CoRR (2016)
Paul Hand, Vladislav Voroninski
Corruption Robust Phase Retrieval via Linear Programming. CoRR (2016)
Thomas Goldstein, Paul Hand, Choongbum Lee, Vladislav Voroninski, Stefano Soatto
ShapeFit and ShapeKick for Robust, Scalable Structure from Motion. CoRR (2016)
Thomas Goldstein, Paul Hand, Choongbum Lee, Vladislav Voroninski, Stefano Soatto
ShapeFit and ShapeKick for Robust, Scalable Structure from Motion. ECCV (7) (2016)
Paul Hand, Choongbum Lee, Vladislav Voroninski
Exact simultaneous recovery of locations and structure from known orientations and corrupted point correspondences. CoRR (2015)
Paul Hand, Choongbum Lee, Vladislav Voroninski
ShapeFit: Exact location recovery from corrupted pairwise directions. CoRR (2015)