v1v2v3 (latest)

Block-Sparse Recovery via Convex Optimization

4 April 2011

Papers citing "Block-Sparse Recovery via Convex Optimization"

23 / 23 papers shown

Title
PaCE: Parsimonious Concept Engineering for Large Language Models Jinqi Luo Tianjiao Ding Kwan Ho Ryan Chan D. Thaker Aditya Chattopadhyay Chris Callison-Burch René Vidal CVBM 98 11 0 06 Jun 2024
Group Projected Subspace Pursuit for Block Sparse Signal Reconstruction: Convergence Analysis and Applications Roy Y. He Haixia Liu Hao Liu 52 4 0 01 Jun 2024
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness Ambar Pal Huaijin Hao Rene Vidal 93 8 0 28 Sep 2023
A Linearly Convergent GAN Inversion-based Algorithm for Reverse Engineering of Deceptions D. Thaker Paris V. Giampouras René Vidal AAML 49 0 0 07 Jun 2023
Block-Sparse Adversarial Attack to Fool Transformer-Based Text Classifiers Sahar Sadrizadeh Ljiljana Dolamic P. Frossard AAML 118 10 0 11 Mar 2022
$Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees$ Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees D. Thaker Paris V. Giampouras René Vidal AAML 39 6 0 09 Mar 2022
Learning optimally separated class-specific subspace representations using convolutional autoencoder Krishan Sharma Shikha Gupta Renu M. Rameshan SSL DRL 13 2 0 19 May 2021
Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution Imaging S. Ahmadi J. C. Hauffen Linh Kästner P. Jung Giuseppe Caire M. Ziegler SupR 52 10 0 07 Dec 2020
Basis Pursuit and Orthogonal Matching Pursuit for Subspace-preserving Recovery: Theoretical Analysis Daniel P. Robinson René Vidal Chong You 80 9 0 30 Dec 2019
Sparse Representation Classification via Screening for Graphs Cencheng Shen Li-Wei Chen Yuexiao Dong Carey Priebe 65 0 0 04 Jun 2019
Modal Regression based Atomic Representation for Robust Face Recognition Yulong Wang Yuanyan Tang Luoqing Li Hong Chen CVBM 40 26 0 05 Nov 2017
Improved Support Recovery Guarantees for the Group Lasso With Applications to Structural Health Monitoring M. K. Elyaderani Swayambhoo Jain Jeff Druce S. Gonella Jarvis Haupt 46 5 0 29 Aug 2017
Tight Performance Bounds for Compressed Sensing With Conventional and Group Sparsity Shashank Ranjan M. Vidyasagar 39 13 0 19 Jun 2016
Group-Invariant Subspace Clustering Shuchin Aeron Eric Kernfeld 30 7 0 15 Oct 2015
Sparse Representation Classification Beyond L1 Minimization and the Subspace Assumption Cencheng Shen Li-Wei Chen Yuexiao Dong Carey E. Priebe BDL 70 9 0 04 Feb 2015
$Approximate Subspace-Sparse Recovery with Corrupted Data via Constrained $\ell_1$-Minimization$ Approximate Subspace-Sparse Recovery with Corrupted Data via Constrained $\ell_1$ -Minimization Ehsan Elhamifar Mahdi Soltanolkotabi S. Shankar Sastry 137 3 0 23 Dec 2014
A Multiple Hypothesis Testing Approach to Low-Complexity Subspace Unmixing W. Bajwa D. Mixon 91 2 0 07 Aug 2014
Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment Liansheng Zhuang Tsung-Han Chan An Yang S. Shankar Sastry Yi-An Ma CVBM 50 45 0 08 Feb 2014
Conditioning of Random Block Subdictionaries with Applications to Block-Sparse Recovery and Regression W. Bajwa Marco F. Duarte A. Calderbank 67 21 0 20 Sep 2013
Robust Face Recognition via Block Sparse Bayesian Learning Taiyong Li Zhilin Zhang CVBM 117 14 0 29 Jan 2013
Group Model Selection Using Marginal Correlations: The Good, the Bad and the Ugly W. Bajwa D. Mixon 82 8 0 08 Oct 2012
Sparse Subspace Clustering: Algorithm, Theory, and Applications Ehsan Elhamifar René Vidal 168 2,336 0 05 Mar 2012
$Accuracy guaranties for $\ell_1$ recovery of block-sparse signals$ Accuracy guaranties for $\ell_1$ recovery of block-sparse signals A. Juditsky Fatma Kılınç Karzan A. Nemirovski Boris Polyak 167 27 0 10 Nov 2011