David L. Donoho

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 16

Top Venues

CoRR

IEEE Trans. Inf. Theory

ISIT

IEEE BigData

Publications

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, David L. Donoho, Sanmi Koyejo
Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data. CoRR (2024)
X. Y. Han, Vardan Papyan, David L. Donoho
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path. ICLR (2022)
X. Y. Han, Vardan Papyan, David L. Donoho
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path. CoRR (2021)
Qingyun Sun, David L. Donoho
Convex Sparse Blind Deconvolution. CoRR (2021)
Alon Kipnis, David L. Donoho
Two-sample Testing of Discrete Distributions under Rare/Weak Perturbations. ISIT (2021)
Richard G. Baraniuk, David L. Donoho, Matan Gavish
The science of deep learning. Proc. Natl. Acad. Sci. USA 117 (48) (2020)
Vardan Papyan, X. Y. Han, David L. Donoho
Prevalence of Neural Collapse during the terminal phase of deep learning training. CoRR (2020)
Morteza Mardani, Qingyun Sun, Vardan Papyan, Shreyas Vasanawala, John M. Pauly, David L. Donoho
Degrees of Freedom Analysis of Unrolled Neural Networks. CoRR (2019)
Hatef Monajemi, Riccardo Murri, Eric Jonas, Percy Liang, Victoria Stodden, David L. Donoho
Ambitious Data Science Can Be Painless. CoRR (2019)
Morteza Mardani, Qingyun Sun, David L. Donoho, Vardan Papyan, Hatef Monajemi, Shreyas Vasanawala, John M. Pauly
Neural Proximal Gradient Descent for Compressive Imaging. NeurIPS (2018)
Qingyun Sun, Mengyuan Yan, David L. Donoho, Stephen P. Boyd
Convolutional Imputation of Matrix Networks. ICML (2018)
Morteza Mardani, Qingyun Sun, Shreyas Vasawanala, Vardan Papyan, Hatef Monajemi, John M. Pauly, David L. Donoho
Neural Proximal Gradient Descent for Compressive Imaging. CoRR (2018)
Matan Gavish, David L. Donoho
Optimal Shrinkage of Singular Values. IEEE Trans. Inf. Theory 63 (4) (2017)
Morteza Mardani, Hatef Monajemi, Vardan Papyan, Shreyas Vasanawala, David L. Donoho, John M. Pauly
Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery. CoRR (2017)
Hatef Monajemi, David L. Donoho
Sparsity/Undersampling Tradeoffs in Anisotropic Undersampling, with Applications in MR Imaging/Spectroscopy. CoRR (2017)
Hatef Monajemi, David L. Donoho, Victoria Stodden
Making massive computational experiments painless. IEEE BigData (2016)
Matan Gavish, David L. Donoho
The Optimal Hard Threshold for Singular Values is \(4/\sqrt {3}\). IEEE Trans. Inf. Theory 60 (8) (2014)
Galen Reeves, David L. Donoho
The minimax noise sensitivity in compressed sensing. ISIT (2013)
David L. Donoho, Galen Reeves
Achieving Bayes MMSE performance in the sparse signal + Gaussian white noise model when the noise level is unknown. ISIT (2013)
David L. Donoho, Andrea Montanari
High Dimensional Robust M-Estimation: Asymptotic Variance via Approximate Message Passing. CoRR (2013)
David L. Donoho, Adel Javanmard, Andrea Montanari
Information-Theoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing. IEEE Trans. Inf. Theory 59 (11) (2013)
Matan Gavish, David L. Donoho, Amos Onn
Dream applications of verifiable computational results. XRDS 19 (3) (2013)
David L. Donoho, Matan Gavish, Andrea Montanari
The Phase Transition of Matrix Recovery from Gaussian Measurements Matches the Minimax MSE of Matrix Denoising CoRR (2013)
David L. Donoho, Iain M. Johnstone, Andrea Montanari
Accurate Prediction of Phase Transitions in Compressed Sensing via a Connection to Minimax Denoising. IEEE Trans. Inf. Theory 59 (6) (2013)
Matan Gavish, David L. Donoho
Three Dream Applications of Verifiable Computational Results. Comput. Sci. Eng. 14 (4) (2012)
David L. Donoho, Adel Javanmard, Andrea Montanari
Information-theoretically optimal compressed sensing via spatial coupling and approximate message passing. ISIT (2012)
David L. Donoho, Galen Reeves
The sensitivity of compressed sensing performance to relaxation of sparsity. ISIT (2012)
David L. Donoho, Yaakov Tsaig, Iddo Drori, Jean-Luc Starck
Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit. IEEE Trans. Inf. Theory 58 (2) (2012)
Matan Gavish, David L. Donoho
A Universal Identifier for Computational Results. ICCS (2011)
David L. Donoho, Arian Maleki, Andrea Montanari
The Noise-Sensitivity Phase Transition in Compressed Sensing. IEEE Trans. Inf. Theory 57 (10) (2011)
David L. Donoho, Iain M. Johnstone, Arian Maleki, Andrea Montanari
-balls: Minimax Mean Square Error CoRR (2011)
David L. Donoho, Adel Javanmard, Andrea Montanari
Information-Theoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing CoRR (2011)
David L. Donoho, Iain M. Johnstone, Andrea Montanari
Accurate Prediction of Phase Transitions in Compressed Sensing via a Connection to Minimax Denoising CoRR (2011)
David L. Donoho, Iain M. Johnstone, Arian Maleki, Andrea Montanari
-balls: Minimax mean square error. ISIT (2011)
David L. Donoho, Gitta Kutyniok
Microlocal Analysis of the Geometric Separation Problem CoRR (2010)
David L. Donoho, Arian Maleki, Andrea Montanari
The Noise-Sensitivity Phase Transition in Compressed Sensing CoRR (2010)
Mohamed-Jalal Fadili, Jean-Luc Starck, Michael Elad, David L. Donoho
MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting. Comput. Sci. Eng. 12 (1) (2010)
David L. Donoho, Jared Tanner
Precise Undersampling Theorems. Proc. IEEE 98 (6) (2010)
Arian Maleki, David L. Donoho
Optimally Tuned Iterative Reconstruction Algorithms for Compressed Sensing. IEEE J. Sel. Top. Signal Process. 4 (2) (2010)
David L. Donoho, Jared Tanner
Counting the Faces of Randomly-Projected Hypercubes and Orthants, with Applications. Discret. Comput. Geom. 43 (3) (2010)
David L. Donoho
Scanning the Technology. Proc. IEEE 98 (6) (2010)
David L. Donoho, Jared Tanner
Exponential bounds implying construction of compressed sensing matrices, error-correcting codes, and neighborly polytopes by random sampling. IEEE Trans. Inf. Theory 56 (4) (2010)
Alfred M. Bruckstein, David L. Donoho, Michael Elad
From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images. SIAM Rev. 51 (1) (2009)
David L. Donoho, Jared Tanner
Observed Universality of Phase Transitions in High-Dimensional Geometry, with Implications for Modern Data Analysis and Signal Processing CoRR (2009)
David L. Donoho, Arian Maleki, Inam Ur Rahman, Morteza Shahram, Victoria Stodden
Reproducible Research in Computational Harmonic Analysis. Comput. Sci. Eng. 11 (1) (2009)
David L. Donoho, Arian Maleki, Andrea Montanari
Message Passing Algorithms for Compressed Sensing: II. Analysis and Validation CoRR (2009)
Arian Maleki, David L. Donoho
Optimally Tuned Iterative Reconstruction Algorithms for Compressed Sensing CoRR (2009)
David L. Donoho, Arian Maleki, Andrea Montanari
Message Passing Algorithms for Compressed Sensing: I. Motivation and Construction CoRR (2009)
David L. Donoho, Arian Maleki, Andrea Montanari
Message Passing Algorithms for Compressed Sensing CoRR (2009)
David L. Donoho, Jared Tanner
Counting the Faces of Randomly-Projected Hypercubes and Orthants, with Applications CoRR (2008)
Amir Averbuch, Ronald R. Coifman, David L. Donoho, Moshe Israeli, Yoel Shkolnisky
A Framework for Discrete Integral Transformations I-The Pseudopolar Fourier Transform. SIAM J. Sci. Comput. 30 (2) (2008)
David L. Donoho, Gitta Kutyniok
Analysis of 1 minimization in the Geometric Separation Problem. CISS (2008)
Amir Averbuch, Ronald R. Coifman, David L. Donoho, Moshe Israeli, Yoel Shkolnisky, Ilya Sedelnikov
A Framework for Discrete Integral Transformations II-The 2D Discrete Radon Transform. SIAM J. Sci. Comput. 30 (2) (2008)
David L. Donoho, Yaakov Tsaig
-Norm Minimization Problems When the Solution May Be Sparse. IEEE Trans. Inf. Theory 54 (11) (2008)
Michael Lustig, David L. Donoho, Juan M. Santos, John M. Pauly
Compressed Sensing MRI. IEEE Signal Process. Mag. 25 (2) (2008)
David L. Donoho, Michael Elad, Vladimir N. Temlyakov
On Lebesgue-type inequalities for greedy approximation. J. Approx. Theory 147 (2) (2007)
David L. Donoho, Hossein Kakavand, James Mammen
The Simplest Solution to an Underdetermined System of Linear Equations CoRR (2007)
Jérôme Bobin, Jean-Luc Starck, Jalal Fadili, Yassir Moudden, David L. Donoho
Morphological Component Analysis: An Adaptive Thresholding Strategy. IEEE Trans. Image Process. 16 (11) (2007)
David L. Donoho
High-Dimensional Centrally Symmetric Polytopes with Neighborliness Proportional to Dimension. Discret. Comput. Geom. 35 (4) (2006)
David L. Donoho, Michael Elad
On the stability of the basis pursuit in the presence of noise. Signal Process. 86 (3) (2006)
David L. Donoho, Victoria Stodden
Breakdown Point of Model Selection When the Number of Variables Exceeds the Number of Observations. IJCNN (2006)
David L. Donoho, Hossein Kakavand, James Mammen
The Simplest Solution to an Underdetermined System of Linear Equations. ISIT (2006)
Iddo Drori, David L. Donoho
Solution of l1Minimization Problems by LARS/Homotopy Methods. ICASSP (3) (2006)
Yaakov Tsaig, David L. Donoho
-norm solution and the sparsest solution. Signal Process. 86 (3) (2006)
David L. Donoho, Michael Elad, Vladimir N. Temlyakov
Stable recovery of sparse overcomplete representations in the presence of noise. IEEE Trans. Inf. Theory 52 (1) (2006)
Emmanuel J. Candès, Laurent Demanet, David L. Donoho, Lexing Ying
Fast Discrete Curvelet Transforms. Multiscale Model. Simul. 5 (3) (2006)
David L. Donoho
Compressed sensing. IEEE Trans. Inf. Theory 52 (4) (2006)
Yaakov Tsaig, David L. Donoho
Extensions of compressed sensing. Signal Process. 86 (3) (2006)
David L. Donoho, Jared Tanner
Thresholds for the Recovery of Sparse Solutions via L1 Minimization. CISS (2006)
Ery Arias-Castro, David L. Donoho, Xiaoming Huo
Near-optimal detection of geometric objects by fast multiscale methods. IEEE Trans. Inf. Theory 51 (7) (2005)
Yin Zhang, Matthew Roughan, Carsten Lund, David L. Donoho
Estimating point-to-point and point-to-multipoint traffic matrices: an information-theoretic approach. IEEE/ACM Trans. Netw. 13 (5) (2005)
Jean-Luc Starck, Vicent J. Martínez, David L. Donoho, O. Levi, Philippe Querre, Enn Saar
Analysis of the Spatial Distribution of Galaxies by Multiscale Methods. EURASIP J. Adv. Signal Process. 2005 (15) (2005)
Michael B. Wakin, David L. Donoho, Hyeokho Choi, Richard G. Baraniuk
High-resolution navigation on non-differentiable image manifolds. ICASSP (5) (2005)
David L. Donoho, Carrie Grimes
Image Manifolds which are Isometric to Euclidean Space. J. Math. Imaging Vis. 23 (1) (2005)
Inam Ur Rahman, Iddo Drori, Victoria Stodden, David L. Donoho, Peter Schröder
Multiscale Representations for Manifold-Valued Data. Multiscale Model. Simul. 4 (4) (2005)
David L. Donoho, Yaakov Tsaig
Recent advances in sparsity-driven signal recovery. ICASSP (5) (2005)
Jean-Luc Starck, Michael Elad, David L. Donoho
Image Decomposition via the Combination of Sparse Representations and a Variational Approach. IEEE Trans. Image Process. 14 (10) (2005)
Amir Averbuch, Alon Schclar, David L. Donoho
Deblocking of block-transform compressed images using weighted sums of symmetrically aligned pixels. IEEE Trans. Image Process. 14 (2) (2005)
Jiashun Jin, Jean-Luc Starck, David L. Donoho, Nabila Aghanim, Olivier Forni
Cosmological Non-Gaussian Signature Detection: Comparing Performance of Different Statistical Tests. EURASIP J. Adv. Signal Process. 2005 (15) (2005)
David L. Donoho, Marc E. Raimondo
Translation Invariant deconvolution in a Periodic Setting. Int. J. Wavelets Multiresolution Inf. Process. 2 (4) (2004)
Xiaoming Huo, Jihong Chen, David L. Donoho
JBEAM: Coding Lines and Curves via Digital Beamlets. Data Compression Conference (2004)
David L. Donoho, Xiaoming Huo
Beamlab and Reproducible Research. Int. J. Wavelets Multiresolution Inf. Process. 2 (4) (2004)
Michael Lustig, Jacob Tsaig, Jin Hyung Lee, David L. Donoho
Fast Spiral Fourier Transform for Iterative MR Image Reconstruction. ISBI (2004)
David L. Donoho, Stéphane Mallat, Rainer von Sachs, Yann Samuelides
Locally stationary covariance and signal estimation with macrotiles. IEEE Trans. Signal Process. 51 (3) (2003)
David L. Donoho, Victoria Stodden
When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts? NIPS (2003)
Yin Zhang, Matthew Roughan, Carsten Lund, David L. Donoho
An information-theoretic approach to traffic matrix estimation. SIGCOMM (2003)
Jean-Luc Starck, Fionn Murtagh, Emmanuel J. Candès, David L. Donoho
Gray and color image contrast enhancement by the curvelet transform. IEEE Trans. Image Process. 12 (6) (2003)
Alon Schclar, Amir Averbuch, David L. Donoho
Deblocking of block-DCT compressed images using deblocking frames of variable size. ICASSP (2002)
David L. Donoho, Ana Georgina Flesia, Umesh Shankar, Vern Paxson, Jason Coit, Stuart Staniford
Multiscale Stepping-Stone Detection: Detecting Pairs of Jittered Interactive Streams by Exploiting Maximum Tolerable Delay. RAID (2002)
Jean-Luc Starck, Emmanuel J. Candès, David L. Donoho
The curvelet transform for image denoising. IEEE Trans. Image Process. 11 (6) (2002)
Xiaoming Huo, David L. Donoho
Recovering filamentary objects in severely degraded binary images using beamlet-driven partitioning. ICASSP (2002)
David L. Donoho, Carrie Grimes
When does geodesic distance recover the true hidden parametrization of families of articulated images? ESANN (2002)
Ana Georgina Flesia, David L. Donoho
Implications for Image Watermarking of Recent Work in Image Analysis and Representation. IWDW (2002)
Scott Shaobing Chen, David L. Donoho, Michael A. Saunders
Atomic Decomposition by Basis Pursuit. SIAM Rev. 43 (1) (2001)
David L. Donoho, Xiaoming Huo
Uncertainty principles and ideal atomic decomposition. IEEE Trans. Inf. Theory 47 (7) (2001)
David L. Donoho
Ridge Functions and Orthonormal Ridgelets. J. Approx. Theory 111 (2) (2001)
Emmanuel J. Candès, David L. Donoho
Curvelets and Curvilinear Integrals. J. Approx. Theory 113 (1) (2001)
David L. Donoho
Orthonormal Ridgelets and Linear Singularities. SIAM J. Math. Anal. 31 (5) (2000)
David L. Donoho, Thomas P. Y. Yu
Nonlinear Pyramid Transforms Based on Median-Interpolation. SIAM J. Math. Anal. 31 (5) (2000)
Hamid Krim, Dewey Tucker, Stéphane Mallat, David L. Donoho
On denoising and best signal representation. IEEE Trans. Inf. Theory 45 (7) (1999)

David L. Donoho.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

David L. Donoho