Geometry and Symmetry in Short-and-Sparse Deconvolution

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Geometry and Symmetry in Short-and-Sparse Deconvolution

2 January 2019

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Papers citing "Geometry and Symmetry in Short-and-Sparse Deconvolution"

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Title
Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings Evan Markou Thalaiyasingam Ajanthan Stephen Gould 31 0 0 10 Jun 2025
Blind Time-of-Flight Imaging: Sparse Deconvolution on the Continuum with Unknown Kernels Ruiming Guo Ayush Bhandari 34 0 0 31 Oct 2024
Straight-Through meets Sparse Recovery: the Support Exploration Algorithm Mimoun Mohamed Franccois Malgouyres Valentin Emiya C. Chaux 46 1 0 31 Jan 2023
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold Can Yaras Peng Wang Zhihui Zhu Laura Balzano Qing Qu 66 44 0 19 Sep 2022
Blind Image Deblurring with Unknown Kernel Size and Substantial Noise Zhong Zhuang Taihui Li Hengkang Wang Ju Sun 78 20 0 18 Aug 2022
Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization Sam Buchanan Jingkai Yan Ellie Haber John N. Wright 60 3 0 09 Mar 2022
Unique sparse decomposition of low rank matrices Dian Jin Xin Bing Yuqian Zhang 147 4 0 14 Jun 2021
Convex Sparse Blind Deconvolution Qingyun Sun D. Donoho 50 4 0 13 Jun 2021
A Geometric Analysis of Neural Collapse with Unconstrained Features Zhihui Zhu Tianyu Ding Jinxin Zhou Xiao Li Chong You Jeremias Sulam Qing Qu 88 204 0 06 May 2021
Stochastic Approximation for Online Tensorial Independent Component Analysis C. J. Li Michael I. Jordan 72 2 0 28 Dec 2020
Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution under Random Designs Yuxin Chen Jianqing Fan B. Wang Yuling Yan 94 16 0 04 Aug 2020
From Symmetry to Geometry: Tractable Nonconvex Problems Yuqian Zhang Qing Qu John N. Wright 87 45 0 14 Jul 2020
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications Qing Qu Zhihui Zhu Xiao Li M. Tsakiris John N. Wright René Vidal 62 20 0 20 Jan 2020
Analysis of the Optimization Landscapes for Overcomplete Representation Learning Qing Qu Yuexiang Zhai Xiao Li Yuqian Zhang Zhihui Zhu 107 10 0 05 Dec 2019
Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently Laixi Shi Yuejie Chi 86 26 0 25 Nov 2019
Short-and-Sparse Deconvolution -- A Geometric Approach Yenson Lau Qing Qu Han-Wen Kuo Pengcheng Zhou Yuqian Zhang John N. Wright 88 30 0 28 Aug 2019
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution Qing Qu Xiao Li Zhihui Zhu 103 31 0 28 Aug 2019
On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution Yuqian Zhang Yenson Lau Han-Wen Kuo S. Cheung A. Pasupathy John N. Wright 90 49 0 07 Jan 2019
Convolutional Phase Retrieval via Gradient Descent Qing Qu Yuqian Zhang Yonina C. Eldar John N. Wright 101 30 0 03 Dec 2017