Fast and Provable ADMM for Learning with Generative Priors

7 July 2019

Papers citing "Fast and Provable ADMM for Learning with Generative Priors"

29 / 29 papers shown

Title
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview Alexander Auras Kanchana Vaishnavi Gandikota Hannah Droege Michael Moeller AAML 29 0 0 19 Feb 2024
VDIP-TGV: Blind Image Deconvolution via Variational Deep Image Prior Empowered by Total Generalized Variation Tingting Wu Zhiyan Du Zhi Li Feng-Lei Fan Tieyong Zeng 20 2 0 30 Oct 2023
On the Fine-Grained Hardness of Inverting Generative Models Feyza Duman Keles Chinmay Hegde 17 1 0 11 Sep 2023
Distributed and Scalable Optimization for Robust Proton Treatment Planning A. Fu V. Taasti M. Zarepisheh 11 2 0 27 Apr 2023
Inverse problem regularization with hierarchical variational autoencoders Jean Prost Antoine Houdard Andrés Almansa Nicolas Papadakis 16 4 0 20 Mar 2023
Convergent Data-driven Regularizations for CT Reconstruction Samira Kabri Alexander Auras D. Riccio Hartmut Bauermeister Martin Benning Michael Moeller Martin Burger 22 12 0 14 Dec 2022
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
TurbuGAN: An Adversarial Learning Approach to Spatially-Varying Multiframe Blind Deconvolution with Applications to Imaging Through Turbulence Brandon Yushan Feng Mingyang Xie Christopher A. Metzler ViT 20 14 0 13 Mar 2022
Subquadratic Overparameterization for Shallow Neural Networks Chaehwan Song Ali Ramezani-Kebrya Thomas Pethick Armin Eftekhari V. Cevher 22 32 0 02 Nov 2021
Inverse Problems Leveraging Pre-trained Contrastive Representations Sriram Ravula Georgios Smyrnis Matt Jordan A. Dimakis SSL 27 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 39 321 0 03 Aug 2021
Instance-Optimal Compressed Sensing via Posterior Sampling A. Jalal Sushrut Karmalkar A. Dimakis Eric Price 26 51 0 21 Jun 2021
Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition Jiaming Liu M. Salman Asif B. Wohlberg Ulugbek S. Kamilov 26 39 0 07 Jun 2021
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior Mario González Andrés Almansa Pauline Tan 37 30 0 02 Mar 2021
Provable Compressed Sensing with Generative Priors via Langevin Dynamics Thanh V. Nguyen Gauri Jagatap C. Hegde GAN 17 12 0 25 Feb 2021
Prior Image-Constrained Reconstruction using Style-Based Generative Models Varun A. Kelkar M. Anastasio 11 28 0 24 Feb 2021
The Nonconvex Geometry of Linear Inverse Problems Armin Eftekhari Peyman Mohajerin Esfahani 13 1 0 07 Jan 2021
Solving Inverse Problems with Hybrid Deep Image Priors: the challenge of preventing overfitting Zhaodong Sun Thomas Sanchez Fabian Latorre V. Cevher SupR 12 26 0 03 Nov 2020
Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers Boyuan Feng Yuke Wang Xu Li Yufei Ding GNN AAML 11 2 0 22 Sep 2020
Compressive Phase Retrieval: Optimal Sample Complexity with Deep Generative Priors Paul Hand Oscar Leong V. Voroninski 17 6 0 24 Aug 2020
Compressed Sensing via Measurement-Conditional Generative Models Kyungsu Kim J. H. Lee Eunho Yang GAN MedIm 22 3 0 02 Jul 2020
When and How Can Deep Generative Models be Inverted? Aviad Aberdam Dror Simon Michael Elad 14 13 0 28 Jun 2020
Robust Compressed Sensing using Generative Models A. Jalal Liu Liu A. Dimakis C. Caramanis 21 39 0 16 Jun 2020
Scalable Plug-and-Play ADMM with Convergence Guarantees Yu Sun Zihui Wu Xiaojian Xu B. Wohlberg Ulugbek S. Kamilov BDL 19 74 0 05 Jun 2020
A Generative Model for Generic Light Field Reconstruction Paramanand Chandramouli Kanchana Vaishnavi Gandikota Andreas Görlitz A. Kolb Michael Moeller 35 5 0 13 May 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 11 518 0 12 May 2020
Deep S $^3$ PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models Christopher A. Metzler Gordon Wetzstein 13 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 29 27 0 05 Feb 2020
Nearly Minimal Over-Parametrization of Shallow Neural Networks Armin Eftekhari Chaehwan Song V. Cevher 10 1 0 09 Oct 2019