The Generalized Lasso with Nonlinear Observations and Generative Priors

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The Generalized Lasso with Nonlinear Observations and Generative Priors

22 June 2020

Jonathan Scarlett

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

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Title
Misspecified Phase Retrieval with Generative Priors Zhaoqiang Liu Xinshao Wang Jiulong Liu 81 6 0 11 Oct 2022
Projected Gradient Descent Algorithms for Solving Nonlinear Inverse Problems with Generative Priors Zhaoqiang Liu J. Han 57 7 0 21 Sep 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
Non-Iterative Recovery from Nonlinear Observations using Generative Models Jiulong Liu Zhaoqiang Liu 103 12 0 31 May 2022
Just Least Squares: Binary Compressive Sampling with Low Generative Intrinsic Dimension Yuling Jiao Dingwei Li Min Liu Xiliang Lu Yuanyuan Yang 104 2 0 29 Nov 2021
Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors Zhaoqiang Liu Subhro Ghosh J. Han Jonathan Scarlett 63 8 0 08 Aug 2021
Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors Zhaoqiang Liu Subhro Ghosh Jonathan Scarlett 57 18 0 29 Jun 2021
On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise Jie Shen 87 11 0 19 Dec 2020
A Unified Approach to Uniform Signal Recovery From Non-Linear Observations Martin Genzel A. Stollenwerk 56 6 0 19 Sep 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
Sparse Sliced Inverse Regression Via Lasso Q. Lin Zhigen Zhao Jun S. Liu 120 84 0 21 Nov 2016