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The Generalized Lasso with Nonlinear Observations and Generative Priors

The Generalized Lasso with Nonlinear Observations and Generative Priors

22 June 2020
Zhaoqiang Liu
Jonathan Scarlett
ArXivPDFHTML

Papers citing "The Generalized Lasso with Nonlinear Observations and Generative Priors"

7 / 7 papers shown
Title
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative
  Compressed Sensing
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing
Junren Chen
Jonathan Scarlett
Michael K. Ng
Zhaoqiang Liu
FedML
37
6
0
25 Sep 2023
Misspecified Phase Retrieval with Generative Priors
Misspecified Phase Retrieval with Generative Priors
Zhaoqiang Liu
Xinshao Wang
Jiulong Liu
51
4
0
11 Oct 2022
Non-Iterative Recovery from Nonlinear Observations using Generative
  Models
Non-Iterative Recovery from Nonlinear Observations using Generative Models
Jiulong Liu
Zhaoqiang Liu
44
11
0
31 May 2022
A Unified Approach to Uniform Signal Recovery From Non-Linear
  Observations
A Unified Approach to Uniform Signal Recovery From Non-Linear Observations
Martin Genzel
A. Stollenwerk
19
6
0
19 Sep 2020
Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable
  Embeddings with Generative Priors
Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors
Zhaoqiang Liu
S. Gomes
Avtansh Tiwari
Jonathan Scarlett
29
27
0
05 Feb 2020
Sparse Sliced Inverse Regression Via Lasso
Sparse Sliced Inverse Regression Via Lasso
Q. Lin
Zhigen Zhao
Jun S. Liu
59
81
0
21 Nov 2016
Fast and Reliable Parameter Estimation from Nonlinear Observations
Fast and Reliable Parameter Estimation from Nonlinear Observations
Samet Oymak
Mahdi Soltanolkotabi
35
25
0
23 Oct 2016
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