David L. Donoho
- Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data
2024/04/01 by Matthias Gerstgrasser, Gerstgrasser, Matthias, Rylan Schaeffer +26 · 16 voices · 31 citations
Computer Science · #Semantic Web and Ontologies #cs.AI #cs.CL #cs.ET #cs.LG #stat.ML
- Ideal spatial adaptation by wavelet shrinkage
1994/09/01 by David L Donoho, David L. Donoho, Iain M Johnstone +1 · 160 citations
Engineering · Computer Science · Mathematics · #Sparse and Compressive Sensing Techniques #Image and Signal Denoising Methods #Statistical Methods and Inference
- De-noising by soft-thresholding
1995/05/01 by David L. Donoho, D.L. Donoho · 114 citations
Computer Science · Engineering · Earth and Planetary Sciences · #Image and Signal Denoising Methods #Sparse and Compressive Sensing Techniques #Seismic Imaging and Inversion Techniques
- Compressed sensing
2006/04/01 by D.L. Donoho, David L. Donoho · 111 citations
Engineering · Computer Science · Mathematics · #Sparse and Compressive Sensing Techniques #Image and Signal Denoising Methods #Mathematical Analysis and Transform Methods
- Atomic Decomposition by Basis Pursuit
1998/01/01 by Scott Shaobing Chen, David L. Donoho, Michael A. Saunders · 127 citations
Computer Science · Earth and Planetary Sciences · Engineering · #Image and Signal Denoising Methods #Seismic Imaging and Inversion Techniques #Sparse and Compressive Sensing Techniques
- Atomic Decomposition by Basis Pursuit
2001/01/01 by Scott Shaobing Chen, David L. Donoho, Michael A. Saunders · 97 citations
Computer Science · Earth and Planetary Sciences · Engineering · #Image and Signal Denoising Methods #Seismic Imaging and Inversion Techniques #Sparse and Compressive Sensing Techniques
- From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
2009/02/05 by Alfred M. Bruckstein, Alfred M. Bruckstein⋆, David L. Donoho +1 · 64 citations
Engineering · Computer Science · Mathematics · #Sparse and Compressive Sensing Techniques #Image and Signal Denoising Methods #Mathematical Analysis and Transform Methods
- Compressed Sensing MRI
2008/03/01 by M. Lustig, Michael Lustig, David L. Donoho +5 · 43 citations
Medicine · Engineering · #Advanced MRI Techniques and Applications #Sparse and Compressive Sensing Techniques #Medical Imaging Techniques and Applications
- Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit
2012/02/01 by David L. Donoho, Yaakov Tsaig, Iddo Drori +2 · 49 citations
Computer Science · Engineering · #Matrix Theory and Algorithms #Sparse and Compressive Sensing Techniques #Image and Signal Denoising Methods
- Adapting to unknown sparsity by controlling the false discovery rate
2006/04/01 by Felix Abramovich, Yoav Benjamini, David L. Donoho +1 · 20 citations
Computer Science · Mathematics · Biochemistry, Genetics and Molecular Biology · #Machine Learning and Data Classification #Statistical Methods in Clinical Trials #Cell Image Analysis Techniques
- For most large underdetermined systems of equations, the minimal 𝓁<sub>1</sub>‐norm near‐solution approximates the sparsest near‐solution
2006/03/21 by David L. Donoho · 20 citations
Engineering · Mathematics · #Sparse and Compressive Sensing Techniques #Point processes and geometric inequalities #Statistical Methods and Inference
- Message Passing Algorithms for Compressed Sensing: I. Motivation and Construction
2009/11/22 by David L. Donoho, Arian Maleki, Donoho, David L. +3 · 9 citations
Computer Science · Engineering · #Blind Source Separation Techniques #FOS: Computer and information sciences #Image and Signal Denoising Methods #Information Theory (cs.IT) #Sparse and Compressive Sensing Techniques
- Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA)
2005/08/16 by M. Elad, Michael Elad, J.-L. Starck +5 · 10 citations
Computer Science · Engineering · #Image Processing Techniques and Applications #Image and Signal Denoising Methods #Medical Image Segmentation Techniques
- Neural Proximal Gradient Descent for Compressive Imaging
2018/06/01 by Morteza Mardani, Mardani, Morteza, Qingyun Sun +10 · 11 citations
Engineering · Medicine · #Advanced MRI Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Microwave Imaging and Scattering Analysis #Sparse and Compressive Sensing Techniques
- Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating World
2024/10/22 by Joshua Kazdan, Kazdan, Joshua, Rylan Schaeffer +11 · 2 voices · 9 citations
#cs.LG #cs.AI
- Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path
2021/06/03 by X. Y. Han, Han, X. Y., Vardan Papyan +3 · 10 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning
- Exponential Bounds Implying Construction of Compressed Sensing Matrices, Error-Correcting Codes, and Neighborly Polytopes by Random Sampling
2010/03/24 by David L. Donoho, Jared Tanner · 8 citations
Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Wireless Communication Security Techniques #Distributed Sensor Networks and Detection Algorithms
- Astronomical image representation by the curvelet transform
2003/01/21 by J. L. Starck, Jean‐Luc Starck, D. L. Donoho +3 · 5 citations
Computer Science · #Image and Signal Denoising Methods #Medical Image Segmentation Techniques #Image Retrieval and Classification Techniques
- High Dimensional Robust M-Estimation: Asymptotic Variance via\n Approximate Message Passing
2013/10/28 by David L. Donoho, Andrea Montanari, Donoho, David +1 · 5 citations
Computer Science · Mathematics · #Advanced Statistical Methods and Models #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Random Matrices and Applications #Statistical Distribution Estimation and Applications #Statistical Methods and Inference #Statistics Theory (math.ST)
- The Noise-Sensitivity Phase Transition in Compressed Sensing
2010/04/08 by David L. Donoho, Arian Maleki, Donoho, David L. +3 · 2 citations
Computer Science · Engineering · #Blind Source Separation Techniques #Electrical and Bioimpedance Tomography #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST)
- Information-Theoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing
2011/12/04 by David L. Donoho, Donoho, David L., Adel Javanmard +3 · 2 citations
Computer Science · Engineering · #Blind Source Separation Techniques #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Information Theory (cs.IT) #Sparse and Compressive Sensing Techniques #Statistical Mechanics (cond-mat.stat-mech) #Statistics Theory (math.ST)
- Degrees of Freedom Analysis of Unrolled Neural Networks
2019/06/10 by Morteza Mardani, Mardani, Morteza, Qingyun Sun +9 · 3 citations
Engineering · Mathematics · Computer Science · #Sparse and Compressive Sensing Techniques #Numerical methods in inverse problems #Image and Signal Denoising Methods
- Data Science at the Singularity
2024/01/29 by David L. Donoho · 1 voice · 2 citations
Business, Management and Accounting · Decision Sciences · #Big Data Technologies and Applications #Big Data and Business Intelligence
- Universality of the π2/6 Pathway in Avoiding Model Collapse
2024/10/30 by Apratim Dey, Dey, Apratim, David L. Donoho +1 · 2 citations
Physics and Astronomy · Computer Science · #Particle physics theoretical and experimental studies #Quantum chaos and dynamical systems #Computational Physics and Python Applications