ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2310.03758
  4. Cited By
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative
  Compressed Sensing

A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing

25 September 2023
Junren Chen
Jonathan Scarlett
Michael K. Ng
Zhaoqiang Liu
    FedML
ArXivPDFHTML

Papers citing "A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing"

3 / 3 papers shown
Title
Theoretical Perspectives on Deep Learning Methods in Inverse Problems
Theoretical Perspectives on Deep Learning Methods in Inverse Problems
Jonathan Scarlett
Reinhard Heckel
M. Rodrigues
Paul Hand
Yonina C. Eldar
AI4CE
27
28
0
29 Jun 2022
Non-Iterative Recovery from Nonlinear Observations using Generative
  Models
Non-Iterative Recovery from Nonlinear Observations using Generative Models
Jiulong Liu
Zhaoqiang Liu
36
11
0
31 May 2022
Intermediate Layer Optimization for Inverse Problems using Deep
  Generative Models
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
Giannis Daras
Joseph Dean
A. Jalal
A. Dimakis
DRL
183
82
0
15 Feb 2021
1