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ORCIDDavid L. Donoho
Person information
- affiliation: Stanford University, USA
- award (1985): Presidential Young Investigator Award
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2020 – today
- 2024
[i23]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 abs/2404.01413 (2024)- 2022
- [c30]X. Y. Han, Vardan Papyan, David L. Donoho:
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path. ICLR 2022 - 2021
- [c29]Alon Kipnis, David L. Donoho:
Two-sample Testing of Discrete Distributions under Rare/Weak Perturbations. ISIT 2021: 3314-3319 - [i22]X. Y. Han, Vardan Papyan, David L. Donoho:
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path. CoRR abs/2106.02073 (2021) - [i21]Qingyun Sun, David L. Donoho:
Convex Sparse Blind Deconvolution. CoRR abs/2106.07053 (2021) - 2020
- [j56]Richard G. Baraniuk, David L. Donoho, Matan Gavish
:
The science of deep learning. Proc. Natl. Acad. Sci. USA 117(48): 30029-30032 (2020) - [i20]Vardan Papyan, X. Y. Han, David L. Donoho:
Prevalence of Neural Collapse during the terminal phase of deep learning training. CoRR abs/2008.08186 (2020)
2010 – 2019
- 2019
- [i19]Hatef Monajemi, Riccardo Murri, Eric Jonas, Percy Liang, Victoria Stodden, David L. Donoho:
Ambitious Data Science Can Be Painless. CoRR abs/1901.08705 (2019) - [i18]Morteza Mardani, Qingyun Sun, Vardan Papyan, Shreyas Vasanawala, John M. Pauly, David L. Donoho:
Degrees of Freedom Analysis of Unrolled Neural Networks. CoRR abs/1906.03742 (2019) - 2018
- [c28]Qingyun Sun, Mengyuan Yan, David L. Donoho, Stephen P. Boyd:
Convolutional Imputation of Matrix Networks. ICML 2018: 4825-4834 - [c27]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: 9596-9606 - [i17]Morteza Mardani, Qingyun Sun, Shreyas Vasawanala, Vardan Papyan, Hatef Monajemi, John M. Pauly, David L. Donoho:
Neural Proximal Gradient Descent for Compressive Imaging. CoRR abs/1806.03963 (2018) - 2017
- [j55]Matan Gavish, David L. Donoho:
Optimal Shrinkage of Singular Values. IEEE Trans. Inf. Theory 63(4): 2137-2152 (2017) - [i16]Hatef Monajemi, David L. Donoho:
Sparsity/Undersampling Tradeoffs in Anisotropic Undersampling, with Applications in MR Imaging/Spectroscopy. CoRR abs/1702.03062 (2017) - [i15]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 abs/1711.10046 (2017) - 2016
- [c26]Hatef Monajemi, David L. Donoho, Victoria Stodden:
Making massive computational experiments painless. IEEE BigData 2016: 2368-2373 - 2014
- [j54]Matan Gavish, David L. Donoho:
The Optimal Hard Threshold for Singular Values is \(4/\sqrt {3}\). IEEE Trans. Inf. Theory 60(8): 5040-5053 (2014) - 2013
- [j53]Matan Gavish, David L. Donoho, Amos Onn:
Dream applications of verifiable computational results. XRDS 19(3): 58-61 (2013) - [j52]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): 3396-3433 (2013) - [j51]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): 7434-7464 (2013) - [c25]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: 101-105 - [c24]Galen Reeves, David L. Donoho:
The minimax noise sensitivity in compressed sensing. ISIT 2013: 116-120 - [i14]David L. Donoho, Matan Gavish, Andrea Montanari:
The Phase Transition of Matrix Recovery from Gaussian Measurements Matches the Minimax MSE of Matrix Denoising. CoRR abs/1302.2331 (2013) - [i13]David L. Donoho, Andrea Montanari:
High Dimensional Robust M-Estimation: Asymptotic Variance via Approximate Message Passing. CoRR abs/1310.7320 (2013) - 2012
- [j50]Matan Gavish, David L. Donoho:
Three Dream Applications of Verifiable Computational Results. Comput. Sci. Eng. 14(4): 26-31 (2012) - [j49]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): 1094-1121 (2012) - [c23]David L. Donoho, Adel Javanmard, Andrea Montanari:
Information-theoretically optimal compressed sensing via spatial coupling and approximate message passing. ISIT 2012: 1231-1235 - [c22]David L. Donoho, Galen Reeves:
The sensitivity of compressed sensing performance to relaxation of sparsity. ISIT 2012: 2211-2215 - 2011
- [j48]David L. Donoho, Arian Maleki, Andrea Montanari:
The Noise-Sensitivity Phase Transition in Compressed Sensing. IEEE Trans. Inf. Theory 57(10): 6920-6941 (2011) - [c21]David L. Donoho, Iain M. Johnstone, Arian Maleki, Andrea Montanari:
Compressed Sensing over ℓp-balls: Minimax mean square error. ISIT 2011: 129-133 - [c20]Matan Gavish, David L. Donoho:
A Universal Identifier for Computational Results. ICCS 2011: 637-647 - [i12]David L. Donoho, Iain M. Johnstone, Arian Maleki, Andrea Montanari:
Compressed Sensing over ℓp-balls: Minimax Mean Square Error. CoRR abs/1103.1943 (2011) - [i11]David L. Donoho, Iain M. Johnstone, Andrea Montanari:
Accurate Prediction of Phase Transitions in Compressed Sensing via a Connection to Minimax Denoising. CoRR abs/1111.1041 (2011) - [i10]David L. Donoho, Adel Javanmard, Andrea Montanari:
Information-Theoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing. CoRR abs/1112.0708 (2011) - 2010
- [j47]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): 44-63 (2010) - [j46]David L. Donoho, Jared Tanner:
Counting the Faces of Randomly-Projected Hypercubes and Orthants, with Applications. Discret. Comput. Geom. 43(3): 522-541 (2010) - [j45]Arian Maleki, David L. Donoho:
Optimally Tuned Iterative Reconstruction Algorithms for Compressed Sensing. IEEE J. Sel. Top. Signal Process. 4(2): 330-341 (2010) - [j44]David L. Donoho:
Scanning the Technology. Proc. IEEE 98(6): 910-912 (2010) - [j43]David L. Donoho, Jared Tanner:
Precise Undersampling Theorems. Proc. IEEE 98(6): 913-924 (2010) - [j42]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): 2002-2016 (2010) - [i9]David L. Donoho, Arian Maleki, Andrea Montanari:
The Noise-Sensitivity Phase Transition in Compressed Sensing. CoRR abs/1004.1218 (2010) - [i8]David L. Donoho, Gitta Kutyniok:
Microlocal Analysis of the Geometric Separation Problem. CoRR abs/1004.3006 (2010)
2000 – 2009
- 2009
- [j41]David L. Donoho, Arian Maleki, Inam Ur Rahman, Morteza Shahram, Victoria Stodden:
Reproducible Research in Computational Harmonic Analysis. Comput. Sci. Eng. 11(1): 8-18 (2009) - [j40]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): 34-81 (2009) - [i7]David L. Donoho, Jared Tanner:
Observed Universality of Phase Transitions in High-Dimensional Geometry, with Implications for Modern Data Analysis and Signal Processing. CoRR abs/0906.2530 (2009) - [i6]David L. Donoho, Arian Maleki, Andrea Montanari:
Message Passing Algorithms for Compressed Sensing. CoRR abs/0907.3574 (2009) - [i5]Arian Maleki, David L. Donoho:
Optimally Tuned Iterative Reconstruction Algorithms for Compressed Sensing. CoRR abs/0909.0777 (2009) - [i4]David L. Donoho, Arian Maleki, Andrea Montanari:
Message Passing Algorithms for Compressed Sensing: I. Motivation and Construction. CoRR abs/0911.4219 (2009) - [i3]David L. Donoho, Arian Maleki, Andrea Montanari:
Message Passing Algorithms for Compressed Sensing: II. Analysis and Validation. CoRR abs/0911.4222 (2009) - 2008
- [j39]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): 764-784 (2008) - [j38]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): 785-803 (2008) - [j37]Michael Lustig, David L. Donoho, Juan M. Santos, John M. Pauly:
Compressed Sensing MRI. IEEE Signal Process. Mag. 25(2): 72-82 (2008) - [j36]David L. Donoho, Yaakov Tsaig:
Fast Solution of l1-Norm Minimization Problems When the Solution May Be Sparse. IEEE Trans. Inf. Theory 54(11): 4789-4812 (2008) - [c19]David L. Donoho, Gitta Kutyniok:
Analysis of 1 minimization in the Geometric Separation Problem. CISS 2008: 274-279 - [i2]David L. Donoho, Jared Tanner:
Counting the Faces of Randomly-Projected Hypercubes and Orthants, with Applications. CoRR abs/0807.3590 (2008) - 2007
- [j35]David L. Donoho, Michael Elad, Vladimir N. Temlyakov:
On Lebesgue-type inequalities for greedy approximation. J. Approx. Theory 147(2): 185-195 (2007) - [j34]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): 2675-2681 (2007) - [i1]David L. Donoho, Hossein Kakavand, James Mammen:
The Simplest Solution to an Underdetermined System of Linear Equations. CoRR abs/cs/0702105 (2007) - 2006
- [j33]David L. Donoho:
High-Dimensional Centrally Symmetric Polytopes with Neighborliness Proportional to Dimension. Discret. Comput. Geom. 35(4): 617-652 (2006) - [j32]Emmanuel J. Candès, Laurent Demanet, David L. Donoho, Lexing Ying:
Fast Discrete Curvelet Transforms. Multiscale Model. Simul. 5(3): 861-899 (2006) - [j31]David L. Donoho, Michael Elad:
On the stability of the basis pursuit in the presence of noise. Signal Process. 86(3): 511-532 (2006) - [j30]Yaakov Tsaig, David L. Donoho:
Breakdown of equivalence between the minimal l1-norm solution and the sparsest solution. Signal Process. 86(3): 533-548 (2006) - [j29]Yaakov Tsaig, David L. Donoho:
Extensions of compressed sensing. Signal Process. 86(3): 549-571 (2006) - [j28]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): 6-18 (2006) - [j27]David L. Donoho:
Compressed sensing. IEEE Trans. Inf. Theory 52(4): 1289-1306 (2006) - [c18]David L. Donoho, Jared Tanner:
Thresholds for the Recovery of Sparse Solutions via L1 Minimization. CISS 2006: 202-206 - [c17]Iddo Drori, David L. Donoho:
Solution of l1Minimization Problems by LARS/Homotopy Methods. ICASSP (3) 2006: 636-639 - [c16]David L. Donoho, Victoria Stodden:
Breakdown Point of Model Selection When the Number of Variables Exceeds the Number of Observations. IJCNN 2006: 1916-1921 - [c15]David L. Donoho, Hossein Kakavand, James Mammen:
The Simplest Solution to an Underdetermined System of Linear Equations. ISIT 2006: 1924-1928 - 2005
- [j26]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): 2455-2469 (2005) - [j25]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): 2470-2485 (2005) - [j24]David L. Donoho, Carrie Grimes:
Image Manifolds which are Isometric to Euclidean Space. J. Math. Imaging Vis. 23(1): 5-24 (2005) - [j23]Inam Ur Rahman, Iddo Drori, Victoria Stodden, David L. Donoho, Peter Schröder:
Multiscale Representations for Manifold-Valued Data. Multiscale Model. Simul. 4(4): 1201-1232 (2005) - [j22]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): 200-212 (2005) - [j21]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): 1570-1582 (2005) - [j20]Ery Arias-Castro, David L. Donoho, Xiaoming Huo:
Near-optimal detection of geometric objects by fast multiscale methods. IEEE Trans. Inf. Theory 51(7): 2402-2425 (2005) - [j19]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): 947-960 (2005) - [c14]David L. Donoho, Yaakov Tsaig:
Recent advances in sparsity-driven signal recovery. ICASSP (5) 2005: 713-716 - [c13]Michael B. Wakin, David L. Donoho, Hyeokho Choi, Richard G. Baraniuk:
High-resolution navigation on non-differentiable image manifolds. ICASSP (5) 2005: 1073-1076 - 2004
- [j18]David L. Donoho, Xiaoming Huo:
Beamlab and Reproducible Research. Int. J. Wavelets Multiresolution Inf. Process. 2(4): 391-414 (2004) - [j17]David L. Donoho, Marc E. Raimondo:
Translation Invariant deconvolution in a Periodic Setting. Int. J. Wavelets Multiresolution Inf. Process. 2(4): 415-431 (2004) - [c12]Xiaoming Huo, Jihong Chen, David L. Donoho:
JBEAM: Coding Lines and Curves via Digital Beamlets. Data Compression Conference 2004: 449-458 - [c11]Michael Lustig, Jacob Tsaig, Jin Hyung Lee, David L. Donoho:
Fast Spiral Fourier Transform for Iterative MR Image Reconstruction. ISBI 2004: 784-787 - 2003
- [j16]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): 706-717 (2003) - [j15]David L. Donoho, Stéphane Mallat, Rainer von Sachs, Yann Samuelides:
Locally stationary covariance and signal estimation with macrotiles. IEEE Trans. Signal Process. 51(3): 614-627 (2003) - [c10]David L. Donoho, Victoria Stodden:
When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts? NIPS 2003: 1141-1148 - [c9]Yin Zhang, Matthew Roughan, Carsten Lund, David L. Donoho:
An information-theoretic approach to traffic matrix estimation. SIGCOMM 2003: 301-312 - 2002
- [j14]Jean-Luc Starck, Emmanuel J. Candès, David L. Donoho:
The curvelet transform for image denoising. IEEE Trans. Image Process. 11(6): 670-684 (2002) - [c8]David L. Donoho, Carrie Grimes:
When does geodesic distance recover the true hidden parametrization of families of articulated images? ESANN 2002: 199-204 - [c7]Xiaoming Huo, David L. Donoho:
Recovering filamentary objects in severely degraded binary images using beamlet-driven partitioning. ICASSP 2002: 1265-1268 - [c6]Alon Schclar, Amir Averbuch, David L. Donoho:
Deblocking of block-DCT compressed images using deblocking frames of variable size. ICASSP 2002: 3285-3288 - [c5]Ana Georgina Flesia, David L. Donoho:
Implications for Image Watermarking of Recent Work in Image Analysis and Representation. IWDW 2002: 113-129 - [c4]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: 17-35 - 2001
- [j13]David L. Donoho:
Ridge Functions and Orthonormal Ridgelets. J. Approx. Theory 111(2): 143-179 (2001) - [j12]Emmanuel J. Candès, David L. Donoho:
Curvelets and Curvilinear Integrals. J. Approx. Theory 113(1): 59-90 (2001) - [j11]Scott Shaobing Chen, David L. Donoho, Michael A. Saunders:
Atomic Decomposition by Basis Pursuit. SIAM Rev. 43(1): 129-159 (2001) - [j10]David L. Donoho, Xiaoming Huo:
Uncertainty principles and ideal atomic decomposition. IEEE Trans. Inf. Theory 47(7): 2845-2862 (2001) - 2000
- [j9]David L. Donoho, Thomas P. Y. Yu:
Nonlinear Pyramid Transforms Based on Median-Interpolation. SIAM J. Math. Anal. 31(5): 1030-1061 (2000) - [j8]David L. Donoho:
Orthonormal Ridgelets and Linear Singularities. SIAM J. Math. Anal. 31(5): 1062-1099 (2000)
1990 – 1999
- 1999
- [j7]Hamid Krim, Dewey Tucker, Stéphane Mallat, David L. Donoho:
On denoising and best signal representation. IEEE Trans. Inf. Theory 45(7): 2225-2238 (1999) - 1998
- [j6]Scott Shaobing Chen, David L. Donoho, Michael A. Saunders:
Atomic Decomposition by Basis Pursuit. SIAM J. Sci. Comput. 20(1): 33-61 (1998) - [j5]David L. Donoho, Martin Vetterli, Ronald A. DeVore, Ingrid Daubechies:
Data Compression and Harmonic Analysis. IEEE Trans. Inf. Theory 44(6): 2435-2476 (1998) - [c3]Scott Shaobing Chen, David L. Donoho:
Application of basis pursuit in spectrum estimation. ICASSP 1998: 1865-1868 - [c2]Xiaoming Huo, David L. Donoho:
A simple and robust modulation classification method via counting. ICASSP 1998: 3289-3292 - 1995
- [j4]David L. Donoho:
De-noising by soft-thresholding. IEEE Trans. Inf. Theory 41(3): 613-627 (1995) - [c1]Hamid Krim, Stéphane Mallat, David L. Donoho, Alan S. Willsky:
Best basis algorithm for signal enhancement. ICASSP 1995: 1561-1564 - 1993
- [j3]David L. Donoho, Philip B. Stark:
A note on rearrangements, spectral concentration, and the zero-order prolate spheroidal wavefunction. IEEE Trans. Inf. Theory 39(1): 257-260 (1993) - 1990
- [j2]David L. Donoho, Michael Nussbaum:
Minimax quadratic estimation of a quadratic functional. J. Complex. 6(3): 290-323 (1990)
1980 – 1989
- 1988
- [j1]Andrew W. Donoho, David L. Donoho, Mitiam Gasko:
MacSpin: dynamic graphics on a desktop computer. IEEE Computer Graphics and Applications 8(4): 51-58 (1988)
Coauthor Index
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