v1v2 (latest)

Modeling Sparse Deviations for Compressed Sensing using Generative Models

4 July 2018

Papers citing "Modeling Sparse Deviations for Compressed Sensing using Generative Models"

49 / 49 papers shown

Title
Learning Single Index Models with Diffusion Priors Anqi Tang Youming Chen Shuchen Xue Zhaoqiang Liu DiffM 79 0 0 27 May 2025
Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models Yang Zheng Wen Li Zhaoqiang Liu 47 0 0 27 May 2025
Injectivity capacity of ReLU gates Mihailo Stojnic 70 0 0 28 Oct 2024
A Lightweight Human Pose Estimation Approach for Edge Computing-Enabled Metaverse with Compressive Sensing Nguyen Quang Hieu D. Hoang Diep N. Nguyen 47 0 0 26 Aug 2024
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview Alexander Auras Kanchana Vaishnavi Gandikota Hannah Droege Michael Moeller AAML 72 0 0 19 Feb 2024
Variational Bayes image restoration with compressive autoencoders Maud Biquard Marie Chabert Thomas Oberlin 62 2 0 29 Nov 2023
Reconstructing Human Pose from Inertial Measurements: A Generative Model-based Compressive Sensing Approach Nguyen Quang Hieu D. Hoang Diep N. Nguyen Mohammad Abu Alsheikh 3DH 41 3 0 31 Oct 2023
Outlier Detection Using Generative Models with Theoretical Performance Guarantees Jirong Yi A. D. Le Tianming Wang Xiaodong Wu Weiyu Xu 114 3 0 16 Oct 2023
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing Junren Chen Jonathan Scarlett Michael K. Ng Zhaoqiang Liu FedML 77 8 0 25 Sep 2023
Solving Quadratic Systems with Full-Rank Matrices Using Sparse or Generative Priors Junren Chen Shuai Huang Michael K. Ng Zhaoqiang Liu 68 1 0 16 Sep 2023
Assessment of the Reliablity of a Model's Decision by Generalizing Attribution to the Wavelet Domain Gabriel Kasmi L. Dubus Yves-Marie Saint Drenan Philippe Blanc FAtt 90 4 0 24 May 2023
$Learning Trees of $\ell_0$-Minimization Problems$ Learning Trees of $\ell_0$ -Minimization Problems G. Welper 59 0 0 06 Feb 2023
A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models Litu Rout Advait Parulekar Constantine Caramanis Sanjay Shakkottai DiffM 84 58 0 02 Feb 2023
ADIR: Adaptive Diffusion for Image Reconstruction Shady Abu Hussein Tom Tirer Raja Giryes DiffM 60 20 0 06 Dec 2022
Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image Covariance Margaret Duff Ivor J. A. Simpson Matthias Joachim Ehrhardt Neill D. F. Campbell DiffM MedIm 40 5 0 26 Oct 2022
Misspecified Phase Retrieval with Generative Priors Zhaoqiang Liu Xinshao Wang Jiulong Liu 79 6 0 11 Oct 2022
Theoretical Perspectives on Deep Learning Methods in Inverse Problems Jonathan Scarlett Reinhard Heckel M. Rodrigues Paul Hand Yonina C. Eldar AI4CE 110 32 0 29 Jun 2022
Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems Giannis Daras Y. Dagan A. Dimakis C. Daskalakis BDL 107 15 0 18 Jun 2022
Non-Iterative Recovery from Nonlinear Observations using Generative Models Jiulong Liu Zhaoqiang Liu 103 12 0 31 May 2022
Generative Principal Component Analysis Zhaoqiang Liu Jiulong Liu Subhro Ghosh Jun Han Jonathan Scarlett 75 15 0 18 Mar 2022
Regularized Training of Intermediate Layers for Generative Models for Inverse Problems Sean Gunn Jorio Cocola Paul Hand GAN 53 2 0 08 Mar 2022
GenMod: A generative modeling approach for spectral representation of PDEs with random inputs Jacqueline Wentz Alireza Doostan 60 1 0 31 Jan 2022
Inverse Problems Leveraging Pre-trained Contrastive Representations Sriram Ravula Georgios Smyrnis Matt Jordan A. Dimakis SSL 144 9 0 14 Oct 2021
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 102 339 0 03 Aug 2021
Regularising Inverse Problems with Generative Machine Learning Models Margaret Duff Neill D. F. Campbell Matthias Joachim Ehrhardt GAN MedIm 67 38 0 22 Jul 2021
Instance-Optimal Compressed Sensing via Posterior Sampling A. Jalal Sushrut Karmalkar A. Dimakis Eric Price 79 52 0 21 Jun 2021
Learning Generative Prior with Latent Space Sparsity Constraints Vinayak Killedar P. Pokala C. Seelamantula 38 3 0 25 May 2021
Provably Convergent Algorithms for Solving Inverse Problems Using Generative Models Viraj Shah Rakib Hyder M. Salman Asif Chinmay Hegde 41 3 0 13 May 2021
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models Giannis Daras Joseph Dean A. Jalal A. Dimakis DRL 230 85 0 15 Feb 2021
Non-Convex Compressed Sensing with Training Data G. Welper 65 1 0 20 Jan 2021
Subspace Embeddings Under Nonlinear Transformations Aarshvi Gajjar Cameron Musco 49 5 0 05 Oct 2020
Compressed Sensing via Measurement-Conditional Generative Models Kyungsu Kim J. H. Lee Eunho Yang GAN MedIm 69 3 0 02 Jul 2020
The Generalized Lasso with Nonlinear Observations and Generative Priors Zhaoqiang Liu Jonathan Scarlett 61 28 0 22 Jun 2020
Robust Compressed Sensing using Generative Models A. Jalal Liu Liu A. Dimakis Constantine Caramanis 96 41 0 16 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 119 537 0 12 May 2020
Solving Inverse Problems with a Flow-based Noise Model Jay Whang Qi Lei A. Dimakis 132 39 0 18 Mar 2020
Deep S $^3$ PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models Christopher A. Metzler Gordon Wetzstein 82 11 0 14 Feb 2020
Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors Zhaoqiang Liu S. Gomes Avtansh Tiwari Jonathan Scarlett 93 28 0 05 Feb 2020
The troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problems N. Gottschling Vegard Antun A. Hansen Ben Adcock 87 34 0 05 Jan 2020
Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models Zhaoqiang Liu Jonathan Scarlett 100 41 0 28 Aug 2019
Fast and Provable ADMM for Learning with Generative Priors Fabian Latorre Gómez Armin Eftekhari Volkan Cevher GAN 97 44 0 07 Jul 2019
Inverting Deep Generative models, One layer at a time Qi Lei A. Jalal Inderjit S. Dhillon A. Dimakis 77 51 0 18 Jun 2019
Image-Adaptive GAN based Reconstruction Shady Abu Hussein Tom Tirer Raja Giryes GAN 85 89 0 12 Jun 2019
Deep Compressed Sensing Yan Wu Mihaela Rosca Timothy Lillicrap GAN 107 167 0 16 May 2019
One-dimensional Deep Image Prior for Time Series Inverse Problems Sriram Ravula A. Dimakis 58 8 0 18 Apr 2019
Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization Aditya Grover Stefano Ermon 100 53 0 26 Dec 2018
Deep Ptych: Subsampled Fourier Ptychography using Generative Priors Fahad Shamshad Farwa Abbas Ali Ahmed 77 35 0 22 Dec 2018
Algorithmic Aspects of Inverse Problems Using Generative Models Chinmay Hegde GAN 78 21 0 08 Oct 2018
Compressed Sensing with Deep Image Prior and Learned Regularization Dave Van Veen A. Jalal Mahdi Soltanolkotabi Eric Price S. Vishwanath A. Dimakis 137 182 0 17 Jun 2018