MacSpin: dynamic graphics on a desktop computer. - Andrew W. Donoho; David L. Donoho; Mitiam Gasko (IEEE Computer Graphics and Applications, 1988)

Minimax quadratic estimation of a quadratic functional. - David L. Donoho; Michael Nussbaum (J. Complex., 1990)

A note on rearrangements, spectral concentration, and the zero-order prolate spheroidal wavefunction. - David L. Donoho; Philip B. Stark (IEEE Trans. Inf. Theory, 1993)

Best basis algorithm for signal enhancement. - Hamid Krim; Stéphane Mallat; David L. Donoho; Alan S. Willsky (ICASSP, 1995)

De-noising by soft-thresholding. - David L. Donoho (IEEE Trans. Inf. Theory, 1995)

Application of basis pursuit in spectrum estimation. - Scott Shaobing Chen; David L. Donoho (ICASSP, 1998)

A simple and robust modulation classification method via counting. - Xiaoming Huo; David L. Donoho (ICASSP, 1998)

Data Compression and Harmonic Analysis. - David L. Donoho; Martin Vetterli; Ronald A. DeVore; Ingrid Daubechies (IEEE Trans. Inf. Theory, 1998)

On denoising and best signal representation. - Hamid Krim; Dewey Tucker; Stéphane Mallat; David L. Donoho (IEEE Trans. Inf. Theory, 1999)

Orthonormal Ridgelets and Linear Singularities. - David L. Donoho (SIAM J. Math. Anal., 2000)

Nonlinear Pyramid Transforms Based on Median-Interpolation. - David L. Donoho; Thomas P. Y. Yu (SIAM J. Math. Anal., 2000)

Curvelets and Curvilinear Integrals. - Emmanuel J. Candès; David L. Donoho (J. Approx. Theory, 2001)

Ridge Functions and Orthonormal Ridgelets. - David L. Donoho (J. Approx. Theory, 2001)

Atomic Decomposition by Basis Pursuit. - Scott Shaobing Chen; David L. Donoho; Michael A. Saunders (SIAM Rev., 2001)

Uncertainty principles and ideal atomic decomposition. - David L. Donoho; Xiaoming Huo (IEEE Trans. Inf. Theory, 2001)

When does geodesic distance recover the true hidden parametrization of families of articulated images? - David L. Donoho; Carrie Grimes (ESANN, 2002)

Recovering filamentary objects in severely degraded binary images using beamlet-driven partitioning. - Xiaoming Huo; David L. Donoho (ICASSP, 2002)

Deblocking of block-DCT compressed images using deblocking frames of variable size. - Alon Schclar; Amir Averbuch; David L. Donoho (ICASSP, 2002)

Implications for Image Watermarking of Recent Work in Image Analysis and Representation. - Ana Georgina Flesia; David L. Donoho (IWDW, 2002)

Multiscale Stepping-Stone Detection: Detecting Pairs of Jittered Interactive Streams by Exploiting Maximum Tolerable Delay. - David L. Donoho; Ana Georgina Flesia; Umesh Shankar; Vern Paxson; Jason Coit; Stuart Staniford (RAID, 2002)

The curvelet transform for image denoising. - Jean-Luc Starck; Emmanuel J. Candès; David L. Donoho (IEEE Trans. Image Process., 2002)

When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts? - David L. Donoho; Victoria Stodden (NIPS, 2003)

An information-theoretic approach to traffic matrix estimation. - Yin Zhang 001; Matthew Roughan; Carsten Lund; David L. Donoho (SIGCOMM, 2003)

Gray and color image contrast enhancement by the curvelet transform. - Jean-Luc Starck; Fionn Murtagh; Emmanuel J. Candès; David L. Donoho (IEEE Trans. Image Process., 2003)

Locally stationary covariance and signal estimation with macrotiles. - David L. Donoho; Stéphane Mallat; Rainer von Sachs; Yann Samuelides (IEEE Trans. Signal Process., 2003)

JBEAM: Coding Lines and Curves via Digital Beamlets. - Xiaoming Huo; Jihong Chen; David L. Donoho (Data Compression Conference, 2004)

Fast Spiral Fourier Transform for Iterative MR Image Reconstruction. - Michael Lustig; Jacob Tsaig; Jin Hyung Lee; David L. Donoho (ISBI, 2004)

Beamlab and Reproducible Research. - David L. Donoho; Xiaoming Huo (Int. J. Wavelets Multiresolution Inf. Process., 2004)

Translation Invariant deconvolution in a Periodic Setting. - David L. Donoho; Marc E. Raimondo (Int. J. Wavelets Multiresolution Inf. Process., 2004)

Recent advances in sparsity-driven signal recovery. - David L. Donoho; Yaakov Tsaig (ICASSP (5), 2005)

High-resolution navigation on non-differentiable image manifolds. - Michael B. Wakin; David L. Donoho; Hyeokho Choi; Richard G. Baraniuk (ICASSP (5), 2005)

Cosmological Non-Gaussian Signature Detection: Comparing Performance of Different Statistical Tests. - Jiashun Jin; Jean-Luc Starck; David L. Donoho; Nabila Aghanim; Olivier Forni (EURASIP J. Adv. Signal Process., 2005)

Analysis of the Spatial Distribution of Galaxies by Multiscale Methods. - Jean-Luc Starck; Vicent J. Martínez; David L. Donoho; O. Levi; Philippe Querre; Enn Saar (EURASIP J. Adv. Signal Process., 2005)

Image Manifolds which are Isometric to Euclidean Space. - David L. Donoho; Carrie Grimes (J. Math. Imaging Vis., 2005)

Multiscale Representations for Manifold-Valued Data. - Inam Ur Rahman; Iddo Drori; Victoria Stodden; David L. Donoho; Peter Schröder (Multiscale Model. Simul., 2005)

Deblocking of block-transform compressed images using weighted sums of symmetrically aligned pixels. - Amir Averbuch; Alon Schclar; David L. Donoho (IEEE Trans. Image Process., 2005)

Image Decomposition via the Combination of Sparse Representations and a Variational Approach. - Jean-Luc Starck; Michael Elad; David L. Donoho (IEEE Trans. Image Process., 2005)

Near-optimal detection of geometric objects by fast multiscale methods. - Ery Arias-Castro; David L. Donoho; Xiaoming Huo (IEEE Trans. Inf. Theory, 2005)

Estimating point-to-point and point-to-multipoint traffic matrices: an information-theoretic approach. - Yin Zhang 001; Matthew Roughan; Carsten Lund; David L. Donoho (IEEE/ACM Trans. Netw., 2005)

Thresholds for the Recovery of Sparse Solutions via L1 Minimization. - David L. Donoho; Jared Tanner (CISS, 2006)

Solution of l1Minimization Problems by LARS/Homotopy Methods. - Iddo Drori; David L. Donoho (ICASSP (3), 2006)

Breakdown Point of Model Selection When the Number of Variables Exceeds the Number of Observations. - David L. Donoho; Victoria Stodden (IJCNN, 2006)

The Simplest Solution to an Underdetermined System of Linear Equations. - David L. Donoho; Hossein Kakavand; James Mammen (ISIT, 2006)

High-Dimensional Centrally Symmetric Polytopes with Neighborliness Proportional to Dimension. - David L. Donoho (Discret. Comput. Geom., 2006)

Fast Discrete Curvelet Transforms. - Emmanuel J. Candès; Laurent Demanet; David L. Donoho; Lexing Ying (Multiscale Model. Simul., 2006)

On the stability of the basis pursuit in the presence of noise. - David L. Donoho; Michael Elad (Signal Process., 2006)

Breakdown of equivalence between the minimal l1-norm solution and the sparsest solution. - Yaakov Tsaig; David L. Donoho (Signal Process., 2006)

Extensions of compressed sensing. - Yaakov Tsaig; David L. Donoho (Signal Process., 2006)

Compressed sensing. - David L. Donoho (IEEE Trans. Inf. Theory, 2006)

Stable recovery of sparse overcomplete representations in the presence of noise. - David L. Donoho; Michael Elad; Vladimir N. Temlyakov (IEEE Trans. Inf. Theory, 2006)

On Lebesgue-type inequalities for greedy approximation. - David L. Donoho; Michael Elad; Vladimir N. Temlyakov (J. Approx. Theory, 2007)

Morphological Component Analysis: An Adaptive Thresholding Strategy. - Jérôme Bobin; Jean-Luc Starck; Jalal Fadili; Yassir Moudden; David L. Donoho (IEEE Trans. Image Process., 2007)

Analysis of 1 minimization in the Geometric Separation Problem. - David L. Donoho; Gitta Kutyniok (CISS, 2008)

A Framework for Discrete Integral Transformations I-The Pseudopolar Fourier Transform. - Amir Averbuch; Ronald R. Coifman; David L. Donoho; Moshe Israeli; Yoel Shkolnisky (SIAM J. Sci. Comput., 2008)

A Framework for Discrete Integral Transformations II-The 2D Discrete Radon Transform. - Amir Averbuch; Ronald R. Coifman; David L. Donoho; Moshe Israeli; Yoel Shkolnisky; Ilya Sedelnikov (SIAM J. Sci. Comput., 2008)

Compressed Sensing MRI. - Michael Lustig; David L. Donoho; Juan M. Santos; John M. Pauly (IEEE Signal Process. Mag., 2008)

Fast Solution of l1-Norm Minimization Problems When the Solution May Be Sparse. - David L. Donoho; Yaakov Tsaig (IEEE Trans. Inf. Theory, 2008)

Observed Universality of Phase Transitions in High-Dimensional Geometry, with Implications for Modern Data Analysis and Signal Processing - David L. Donoho; Jared Tanner (CoRR, 2009)

Message Passing Algorithms for Compressed Sensing - David L. Donoho; Arian Maleki; Andrea Montanari (CoRR, 2009)

Message Passing Algorithms for Compressed Sensing: I. Motivation and Construction - David L. Donoho; Arian Maleki; Andrea Montanari (CoRR, 2009)

Message Passing Algorithms for Compressed Sensing: II. Analysis and Validation - David L. Donoho; Arian Maleki; Andrea Montanari (CoRR, 2009)

Reproducible Research in Computational Harmonic Analysis. - David L. Donoho; Arian Maleki; Inam Ur Rahman; Morteza Shahram; Victoria Stodden (Comput. Sci. Eng., 2009)

From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images. - Alfred M. Bruckstein; David L. Donoho; Michael Elad (SIAM Rev., 2009)

Microlocal Analysis of the Geometric Separation Problem - David L. Donoho; Gitta Kutyniok (CoRR, 2010)

MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting. - Mohamed-Jalal Fadili; Jean-Luc Starck; Michael Elad; David L. Donoho (Comput. Sci. Eng., 2010)

Counting the Faces of Randomly-Projected Hypercubes and Orthants, with Applications. - David L. Donoho; Jared Tanner (Discret. Comput. Geom., 2010)

Optimally Tuned Iterative Reconstruction Algorithms for Compressed Sensing. - Arian Maleki; David L. Donoho (IEEE J. Sel. Top. Signal Process., 2010)

Scanning the Technology. - David L. Donoho (Proc. IEEE, 2010)

Precise Undersampling Theorems. - David L. Donoho; Jared Tanner (Proc. IEEE, 2010)

Exponential bounds implying construction of compressed sensing matrices, error-correcting codes, and neighborly polytopes by random sampling. - David L. Donoho; Jared Tanner (IEEE Trans. Inf. Theory, 2010)

Compressed Sensing over ℓp-balls: Minimax mean square error. - David L. Donoho; Iain M. Johnstone; Arian Maleki; Andrea Montanari (ISIT, 2011)

Compressed Sensing over ℓp-balls: Minimax Mean Square Error - David L. Donoho; Iain M. Johnstone; Arian Maleki; Andrea Montanari (CoRR, 2011)

A Universal Identifier for Computational Results. - Matan Gavish; David L. Donoho (ICCS, 2011)

The Noise-Sensitivity Phase Transition in Compressed Sensing. - David L. Donoho; Arian Maleki; Andrea Montanari (IEEE Trans. Inf. Theory, 2011)

The sensitivity of compressed sensing performance to relaxation of sparsity. - David L. Donoho; Galen Reeves (ISIT, 2012)

Three Dream Applications of Verifiable Computational Results. - Matan Gavish; David L. Donoho (Comput. Sci. Eng., 2012)

Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit. - David L. Donoho; Yaakov Tsaig; Iddo Drori; Jean-Luc Starck (IEEE Trans. Inf. Theory, 2012)

Achieving Bayes MMSE performance in the sparse signal + Gaussian white noise model when the noise level is unknown. - David L. Donoho; Galen Reeves (ISIT, 2013)

The minimax noise sensitivity in compressed sensing. - Galen Reeves; David L. Donoho (ISIT, 2013)

High Dimensional Robust M-Estimation: Asymptotic Variance via Approximate Message Passing. - David L. Donoho; Andrea Montanari (CoRR, 2013)

The Phase Transition of Matrix Recovery from Gaussian Measurements Matches the Minimax MSE of Matrix Denoising - David L. Donoho; Matan Gavish; Andrea Montanari (CoRR, 2013)

Dream applications of verifiable computational results. - Matan Gavish; David L. Donoho; Amos Onn (XRDS, 2013)

Accurate Prediction of Phase Transitions in Compressed Sensing via a Connection to Minimax Denoising. - David L. Donoho; Iain M. Johnstone; Andrea Montanari (IEEE Trans. Inf. Theory, 2013)

Information-Theoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing. - David L. Donoho; Adel Javanmard; Andrea Montanari (IEEE Trans. Inf. Theory, 2013)

The Optimal Hard Threshold for Singular Values is (4/ sqrt {3} ). - Matan Gavish; David L. Donoho (IEEE Trans. Inf. Theory, 2014)

Making massive computational experiments painless. - Hatef Monajemi; David L. Donoho; Victoria Stodden (IEEE BigData, 2016)

Sparsity/Undersampling Tradeoffs in Anisotropic Undersampling, with Applications in MR Imaging/Spectroscopy. - Hatef Monajemi; David L. Donoho (CoRR, 2017)

Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery. - Morteza Mardani; Hatef Monajemi; Vardan Papyan; Shreyas Vasanawala; David L. Donoho; John M. Pauly (CoRR, 2017)

Optimal Shrinkage of Singular Values. - Matan Gavish; David L. Donoho (IEEE Trans. Inf. Theory, 2017)

Convolutional Imputation of Matrix Networks. - Qingyun Sun; Mengyuan Yan; David L. Donoho; Stephen P. Boyd (ICML, 2018)

Neural Proximal Gradient Descent for Compressive Imaging. - Morteza Mardani; Qingyun Sun; David L. Donoho; Vardan Papyan; Hatef Monajemi; Shreyas Vasanawala; John M. Pauly (NeurIPS, 2018)

Ambitious Data Science Can Be Painless. - Hatef Monajemi; Riccardo Murri; Eric Jonas; Percy Liang; Victoria Stodden; David L. Donoho (CoRR, 2019)

Degrees of Freedom Analysis of Unrolled Neural Networks. - Morteza Mardani; Qingyun Sun; Vardan Papyan; Shreyas Vasanawala; John M. Pauly; David L. Donoho (CoRR, 2019)

Prevalence of Neural Collapse during the terminal phase of deep learning training. - Vardan Papyan; X. Y. Han; David L. Donoho (CoRR, 2020)

The science of deep learning. - Richard G. Baraniuk; David L. Donoho; Matan Gavish (Proc. Natl. Acad. Sci. USA, 2020)

Two-sample Testing of Discrete Distributions under Rare/Weak Perturbations. - Alon Kipnis; David L. Donoho (ISIT, 2021)

Convex Sparse Blind Deconvolution. - Qingyun Sun; David L. Donoho (CoRR, 2021)

Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path. - X. Y. Han; Vardan Papyan; David L. Donoho (ICLR, 2022)

Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data. - Matthias Gerstgrasser; Rylan Schaeffer; Apratim Dey; Rafael Rafailov; Henry Sleight; John Hughes; Tomasz Korbak; Rajashree Agrawal; Dhruv Pai; Andrey Gromov; Daniel A. Roberts; Diyi Yang; et al. (CoRR, 2024)

Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating World. - Joshua Kazdan; Rylan Schaeffer; Apratim Dey; Matthias Gerstgrasser; Rafael Rafailov; David L. Donoho; Sanmi Koyejo (CoRR, 2024)

Universality of the π2/6 Pathway in Avoiding Model Collapse. - Apratim Dey; David L. Donoho (CoRR, 2024)

Optimal Vector Compressed Sensing Using James Stein Shrinkage. - Apratim Dey; David L. Donoho (CoRR, 2025)

Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track. - Rylan Schaeffer; Joshua Kazdan; Yegor Denisov-Blanch; Brando Miranda; Matthias Gerstgrasser; Susan Zhang; Andreas Haupt; Isha Gupta; Elyas Obbad; Jesse Dodge; Jessica Zosa Forde; Koustuv Sinha; et al. (CoRR, 2025)