Constant-Expansion Suffices for Compressed Sensing with Generative Priors

Constantinos Daskalakis, Dhruv Rohatgi, Manolis Zampetakis

Generative neural networks have been empirically found very promising in providing effective structural priors for compressed sensing, since they can be trained to span low-dimensi…