17 citations · 30 across the 8 of their papers we have counts for
5 papers · 1 filter
Bilinear Compressed Sensing under known Signs via Convex Programming
Alireza Aghasi, Ali Ahmed, Paul Hand +1
We consider the bilinear inverse problem of recovering two vectors, and , from their entrywise product. We consider…
Global Guarantees for Blind Demodulation with Generative Priors
Paul Hand, Babhru Joshi
We study a deep learning inspired formulation for the blind demodulation problem, which is the task of recovering two unknown vectors from their entrywise multiplication. We consid…
A Provably Convergent Scheme for Compressive Sensing under Random Generative Priors
Wen Huang, Paul Hand, Reinhard Heckel +1
Deep generative modeling has led to new and state of the art approaches for enforcing structural priors in a variety of inverse problems. In contrast to priors given by sparsity, d…
A convex program for bilinear inversion of sparse vectors
Alireza Aghasi, Ali Ahmed, Paul Hand +1
We consider the bilinear inverse problem of recovering two vectors, and , from their entrywise product. We consider t…
PhaseLift is robust to a constant fraction of arbitrary errors
Paul Hand
Consider the task of recovering an unknown -vector from phaseless linear measurements. This task is the phase retrieval problem. Through the technique of lifting, this nonconvex…