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- Sparse Synthesis Regularization with Deep Neural Networks
- Learning Overcomplete Dictionaries Based on Atom-By-Atom Updating Mostafa Sadeghi, Massoud Babaie-Zadeh, Christian Jutten
- Explicit Matrices for Sparse Approximation Amin Khajehnejad, Arash Saber Tehrani, Alexandros G
- Flexible Multi-Layer Sparse Approximations of Matrices and Applications Luc Le Magoarou, Remi´ Gribonval, Fellow, IEEE
- Sparse Approximation Via Penalty Decomposition Methods ∗
- Multi-Dimensional Sparse Structured Signal Approximation Using Split
- A Fast Approximation Algorithm for Tree-Sparse Recovery
- Online Dictionary Learning for Sparse Coding
- Sparse Approximation and Variable Selection
- Surveying and Comparing Simultaneous Sparse Approximation (Or Group-Lasso) Algorithms
- A Scalable VLSI Architecture for Real-Time and Energy-Efficient Sparse Approximation in Compressive Sensing Systems
- Accelerating Matching Pursuit for Multiple Time-Frequency Dictionaries
- Sparse Methods for Model Estimation with Applications to Radar Imaging
- Sparse Approximate Inverses
- Fast Algorithms for Dense Numerical Linear Algebra and Applications
- Deep Coupled-Representation Learning for Sparse Linear Inverse Problems with Side Information Evaggelia Tsiligianni and Nikos Deligiannis
- Arxiv:2102.13566V1 [Cs.LG] 26 Feb 2021
- A Sparse Decomposition of Low Rank Symmetric Positive Semidefinite Matrices ∗
- Sparse Approximate Inverse Methods
- A New Algorithm for Learning Overcomplete Dictionaries Mostafa Sadeghi, Massoud Babaie-Zadeh, Christian Jutten
- Matrix Sparsification and the Sparse Null Space Problem
- Non-Negative Orthogonal Greedy Algorithms Thi Thanh Nguyen, Jérôme Idier, Charles Soussen, El-Hadi Djermoune
- An Introduction to Sparse Approximation
- Assessment of Localized and Randomized Algorithms for Electronic Structure
- Greedy Algorithms for Sparse Dictionary Learning
- Butterfly Factorization ∗
- Sparse Approximation Via Orthogonal Projections: Beyond Greed and Convexity
- Factorization-Based Sparse Solvers and Preconditioners Contents
- Learning of Structured Graph Dictionaries
- Compressed Matrix Multiplication
- Literature Survey on Low Rank Approximation of Matricessupported by National Board of Higher Mathematics, India
- A Mathematical Introduction to Compressive Sensing, by S. Foucart and H
- A Scalable VLSI Architecture for Real-Time and Energy-Efficient
- Algorithms for Sparse Signal Recovery in Compressed Sensing
- From Sparse Solutions of Systems of Equations to Sparse Modeling Of
- Simultaneous Sparse Approximation: Insights and Algorithms
- Simultaneous Sparse Approximation (Or Group Lasso) Algorithms Alain Rakotomamonjy
- Algorithms for Sparse Approximation
- Sparsity, Randomness and Compressed Sensing
- Diffusion Monte Carlo Through the Lens of Numerical Linear Algebra∗
- Compressed Matrix Multiplication∗
- Dataless Model Selection with the Deep Frame Potential
- Optimization Methods for Sparse Approximation
- Learning Sparse Dictionaries for Sparse Signal Approximation
- Applications of Sparse Approximation in Communications
- Sparse and Low Rank Approximation (11W5036)
- Sparse Approximation and Dictionary Learning Using Cloud K-SVD for Image Denoising
- From Bernoulli-Gaussian Deconvolution to Sparse Signal Restoration Charles Soussen, Jérôme Idier, David Brie, Junbo Duan