David L. Donoho

116 papers A* 5A 1B 10C 1Misc 8Journal 85Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	"Rebuilding" Statistics in the Age of AI: A Town Hall Discussion on Culture, Infrastructure, and Training. CoRR David L. Donoho, Jian Kang, Xihong Lin, Bhramar Mukherjee, Dan Nettleton, Rebecca Nugent, Abel Rodriguez, Eric P. Xing, Tian Zheng, Hongtu Zhu
2026	J	`jnl`	Scale Dependent Data Duplication. CoRR Joshua Kazdan, Noam Levi, Rylan Schaeffer, Jessica Chudnovsky, Abhay Puri, Bo He, Mehmet Donmez, Sanmi Koyejo, David L. Donoho
2025	A*	`conf`	Collapse or Thrive: Perils and Promises of Synthetic Data in a Self-Generating World. ICML Joshua Kazdan, Rylan Schaeffer, Apratim Dey, Matthias Gerstgrasser, Rafael Rafailov, David L. Donoho, Sanmi Koyejo
2025	J	`jnl`	Optimal Vector Compressed Sensing Using James Stein Shrinkage. CoRR Apratim Dey, David L. Donoho
2025	J	`jnl`	Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track. CoRR 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, Francesco Orabona, Sanmi Koyejo, David L. Donoho
2024	J	`jnl`	Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating World. CoRR Joshua Kazdan, Rylan Schaeffer, Apratim Dey, Matthias Gerstgrasser, Rafael Rafailov, David L. Donoho, Sanmi Koyejo
2024	J	`jnl`	Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data. CoRR 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
2024	J	`jnl`	Universality of the π CoRR Apratim Dey, David L. Donoho
2022	A*	`conf`	Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path. ICLR X. Y. Han, Vardan Papyan, David L. Donoho
2021	J	`jnl`	Convex Sparse Blind Deconvolution. CoRR Qingyun Sun, David L. Donoho
2021	J	`jnl`	Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path. CoRR X. Y. Han, Vardan Papyan, David L. Donoho
2021	B	`conf`	Two-sample Testing of Discrete Distributions under Rare/Weak Perturbations. ISIT Alon Kipnis, David L. Donoho
2020	J	`jnl`	Prevalence of Neural Collapse during the terminal phase of deep learning training. CoRR Vardan Papyan, X. Y. Han, David L. Donoho
2020	J	`jnl`	The science of deep learning. Proc. Natl. Acad. Sci. USA Richard G. Baraniuk, David L. Donoho, Matan Gavish
2019	J	`jnl`	Ambitious Data Science Can Be Painless. CoRR Hatef Monajemi, Riccardo Murri, Eric Jonas, Percy Liang, Victoria Stodden, David L. Donoho
2019	J	`jnl`	Degrees of Freedom Analysis of Unrolled Neural Networks. CoRR Morteza Mardani, Qingyun Sun, Vardan Papyan, Shreyas Vasanawala, John M. Pauly, David L. Donoho
2018	A*	`conf`	Convolutional Imputation of Matrix Networks. ICML Qingyun Sun, Mengyuan Yan, David L. Donoho, Stephen P. Boyd
2018	A*	`conf`	Neural Proximal Gradient Descent for Compressive Imaging. NeurIPS Morteza Mardani, Qingyun Sun, David L. Donoho, Vardan Papyan, Hatef Monajemi, Shreyas Vasanawala, John M. Pauly
2018	J	`jnl`	Neural Proximal Gradient Descent for Compressive Imaging. CoRR Morteza Mardani, Qingyun Sun, Shreyas Vasawanala, Vardan Papyan, Hatef Monajemi, John M. Pauly, David L. Donoho
2017	J	`jnl`	Optimal Shrinkage of Singular Values. IEEE Trans. Inf. Theory Matan Gavish, David L. Donoho
2017	J	`jnl`	Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery. CoRR Morteza Mardani, Hatef Monajemi, Vardan Papyan, Shreyas Vasanawala, David L. Donoho, John M. Pauly
2017	J	`jnl`	Sparsity/Undersampling Tradeoffs in Anisotropic Undersampling, with Applications in MR Imaging/Spectroscopy. CoRR Hatef Monajemi, David L. Donoho
2016	—	`conf`	Making massive computational experiments painless. IEEE BigData Hatef Monajemi, David L. Donoho, Victoria Stodden
2014	J	`jnl`	The Optimal Hard Threshold for Singular Values is \(4/\sqrt {3}\). IEEE Trans. Inf. Theory Matan Gavish, David L. Donoho
2013	J	`jnl`	Accurate Prediction of Phase Transitions in Compressed Sensing via a Connection to Minimax Denoising. IEEE Trans. Inf. Theory David L. Donoho, Iain M. Johnstone, Andrea Montanari
2013	B	`conf`	Achieving Bayes MMSE performance in the sparse signal + Gaussian white noise model when the noise level is unknown. ISIT David L. Donoho, Galen Reeves
2013	J	`jnl`	Dream applications of verifiable computational results. XRDS Matan Gavish, David L. Donoho, Amos Onn
2013	J	`jnl`	High Dimensional Robust M-Estimation: Asymptotic Variance via Approximate Message Passing. CoRR David L. Donoho, Andrea Montanari
2013	J	`jnl`	Information-Theoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing. IEEE Trans. Inf. Theory David L. Donoho, Adel Javanmard, Andrea Montanari
2013	J	`jnl`	The Phase Transition of Matrix Recovery from Gaussian Measurements Matches the Minimax MSE of Matrix Denoising CoRR David L. Donoho, Matan Gavish, Andrea Montanari
2013	B	`conf`	The minimax noise sensitivity in compressed sensing. ISIT Galen Reeves, David L. Donoho
2012	B	`conf`	Information-theoretically optimal compressed sensing via spatial coupling and approximate message passing. ISIT David L. Donoho, Adel Javanmard, Andrea Montanari
2012	J	`jnl`	Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit. IEEE Trans. Inf. Theory David L. Donoho, Yaakov Tsaig, Iddo Drori, Jean-Luc Starck
2012	B	`conf`	The sensitivity of compressed sensing performance to relaxation of sparsity. ISIT David L. Donoho, Galen Reeves
2012	J	`jnl`	Three Dream Applications of Verifiable Computational Results. Comput. Sci. Eng. Matan Gavish, David L. Donoho
2011	Misc	`conf`	A Universal Identifier for Computational Results. ICCS Matan Gavish, David L. Donoho
2011	J	`jnl`	Accurate Prediction of Phase Transitions in Compressed Sensing via a Connection to Minimax Denoising CoRR David L. Donoho, Iain M. Johnstone, Andrea Montanari
2011	B	`conf`	Compressed Sensing over ℓ ISIT David L. Donoho, Iain M. Johnstone, Arian Maleki, Andrea Montanari
2011	J	`jnl`	Compressed Sensing over ℓ CoRR David L. Donoho, Iain M. Johnstone, Arian Maleki, Andrea Montanari
2011	J	`jnl`	Information-Theoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing CoRR David L. Donoho, Adel Javanmard, Andrea Montanari
2011	J	`jnl`	The Noise-Sensitivity Phase Transition in Compressed Sensing. IEEE Trans. Inf. Theory David L. Donoho, Arian Maleki, Andrea Montanari
2010	J	`jnl`	Counting the Faces of Randomly-Projected Hypercubes and Orthants, with Applications. Discret. Comput. Geom. David L. Donoho, Jared Tanner
2010	J	`jnl`	Exponential bounds implying construction of compressed sensing matrices, error-correcting codes, and neighborly polytopes by random sampling. IEEE Trans. Inf. Theory David L. Donoho, Jared Tanner
2010	J	`jnl`	MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting. Comput. Sci. Eng. Mohamed-Jalal Fadili, Jean-Luc Starck, Michael Elad, David L. Donoho
2010	J	`jnl`	Microlocal Analysis of the Geometric Separation Problem CoRR David L. Donoho, Gitta Kutyniok
2010	J	`jnl`	Optimally Tuned Iterative Reconstruction Algorithms for Compressed Sensing. IEEE J. Sel. Top. Signal Process. Arian Maleki, David L. Donoho
2010	J	`jnl`	Precise Undersampling Theorems. Proc. IEEE David L. Donoho, Jared Tanner
2010	J	`jnl`	Scanning the Technology. Proc. IEEE David L. Donoho
2010	J	`jnl`	The Noise-Sensitivity Phase Transition in Compressed Sensing CoRR David L. Donoho, Arian Maleki, Andrea Montanari
2009	J	`jnl`	From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images. SIAM Rev. Alfred M. Bruckstein, David L. Donoho, Michael Elad
2009	J	`jnl`	Message Passing Algorithms for Compressed Sensing CoRR David L. Donoho, Arian Maleki, Andrea Montanari
2009	J	`jnl`	Message Passing Algorithms for Compressed Sensing: I. Motivation and Construction CoRR David L. Donoho, Arian Maleki, Andrea Montanari
2009	J	`jnl`	Message Passing Algorithms for Compressed Sensing: II. Analysis and Validation CoRR David L. Donoho, Arian Maleki, Andrea Montanari
2009	J	`jnl`	Observed Universality of Phase Transitions in High-Dimensional Geometry, with Implications for Modern Data Analysis and Signal Processing CoRR David L. Donoho, Jared Tanner
2009	J	`jnl`	Optimally Tuned Iterative Reconstruction Algorithms for Compressed Sensing CoRR Arian Maleki, David L. Donoho
2009	J	`jnl`	Reproducible Research in Computational Harmonic Analysis. Comput. Sci. Eng. David L. Donoho, Arian Maleki, Inam Ur Rahman, Morteza Shahram, Victoria Stodden
2008	J	`jnl`	A Framework for Discrete Integral Transformations I-The Pseudopolar Fourier Transform. SIAM J. Sci. Comput. Amir Averbuch, Ronald R. Coifman, David L. Donoho, Moshe Israeli, Yoel Shkolnisky
2008	J	`jnl`	A Framework for Discrete Integral Transformations II-The 2D Discrete Radon Transform. SIAM J. Sci. Comput. Amir Averbuch, Ronald R. Coifman, David L. Donoho, Moshe Israeli, Yoel Shkolnisky, Ilya Sedelnikov
2008	Misc	`conf`	Analysis of 1 minimization in the Geometric Separation Problem. CISS David L. Donoho, Gitta Kutyniok
2008	J	`jnl`	Compressed Sensing MRI. IEEE Signal Process. Mag. Michael Lustig, David L. Donoho, Juan M. Santos, John M. Pauly
2008	J	`jnl`	Counting the Faces of Randomly-Projected Hypercubes and Orthants, with Applications CoRR David L. Donoho, Jared Tanner
2008	J	`jnl`	Fast Solution of l IEEE Trans. Inf. Theory David L. Donoho, Yaakov Tsaig
2007	J	`jnl`	Morphological Component Analysis: An Adaptive Thresholding Strategy. IEEE Trans. Image Process. Jérôme Bobin, Jean-Luc Starck, Jalal Fadili, Yassir Moudden, David L. Donoho
2007	J	`jnl`	On Lebesgue-type inequalities for greedy approximation. J. Approx. Theory David L. Donoho, Michael Elad, Vladimir N. Temlyakov
2007	J	`jnl`	The Simplest Solution to an Underdetermined System of Linear Equations CoRR David L. Donoho, Hossein Kakavand, James Mammen
2006	B	`conf`	Breakdown Point of Model Selection When the Number of Variables Exceeds the Number of Observations. IJCNN David L. Donoho, Victoria Stodden
2006	J	`jnl`	Breakdown of equivalence between the minimal Signal Process. Yaakov Tsaig, David L. Donoho
2006	J	`jnl`	Compressed sensing. IEEE Trans. Inf. Theory David L. Donoho
2006	J	`jnl`	Extensions of compressed sensing. Signal Process. Yaakov Tsaig, David L. Donoho
2006	J	`jnl`	Fast Discrete Curvelet Transforms. Multiscale Model. Simul. Emmanuel J. Candès, Laurent Demanet, David L. Donoho, Lexing Ying
2006	J	`jnl`	High-Dimensional Centrally Symmetric Polytopes with Neighborliness Proportional to Dimension. Discret. Comput. Geom. David L. Donoho
2006	J	`jnl`	On the stability of the basis pursuit in the presence of noise. Signal Process. David L. Donoho, Michael Elad
2006	—	`conf`	Solution of l1Minimization Problems by LARS/Homotopy Methods. ICASSP (3) Iddo Drori, David L. Donoho
2006	J	`jnl`	Stable recovery of sparse overcomplete representations in the presence of noise. IEEE Trans. Inf. Theory David L. Donoho, Michael Elad, Vladimir N. Temlyakov
2006	B	`conf`	The Simplest Solution to an Underdetermined System of Linear Equations. ISIT David L. Donoho, Hossein Kakavand, James Mammen
2006	Misc	`conf`	Thresholds for the Recovery of Sparse Solutions via L1 Minimization. CISS David L. Donoho, Jared Tanner
2005	J	`jnl`	Analysis of the Spatial Distribution of Galaxies by Multiscale Methods. EURASIP J. Adv. Signal Process. Jean-Luc Starck, Vicent J. Martínez, David L. Donoho, O. Levi, Philippe Querre, Enn Saar
2005	J	`jnl`	Cosmological Non-Gaussian Signature Detection: Comparing Performance of Different Statistical Tests. EURASIP J. Adv. Signal Process. Jiashun Jin, Jean-Luc Starck, David L. Donoho, Nabila Aghanim, Olivier Forni
2005	J	`jnl`	Deblocking of block-transform compressed images using weighted sums of symmetrically aligned pixels. IEEE Trans. Image Process. Amir Averbuch, Alon Schclar, David L. Donoho
2005	J	`jnl`	Estimating point-to-point and point-to-multipoint traffic matrices: an information-theoretic approach. IEEE/ACM Trans. Netw. Yin Zhang, Matthew Roughan, Carsten Lund, David L. Donoho
2005	—	`conf`	High-resolution navigation on non-differentiable image manifolds. ICASSP (5) Michael B. Wakin, David L. Donoho, Hyeokho Choi, Richard G. Baraniuk
2005	J	`jnl`	Image Decomposition via the Combination of Sparse Representations and a Variational Approach. IEEE Trans. Image Process. Jean-Luc Starck, Michael Elad, David L. Donoho
2005	J	`jnl`	Image Manifolds which are Isometric to Euclidean Space. J. Math. Imaging Vis. David L. Donoho, Carrie Grimes
2005	J	`jnl`	Multiscale Representations for Manifold-Valued Data. Multiscale Model. Simul. Inam Ur Rahman, Iddo Drori, Victoria Stodden, David L. Donoho, Peter Schröder
2005	J	`jnl`	Near-optimal detection of geometric objects by fast multiscale methods. IEEE Trans. Inf. Theory Ery Arias-Castro, David L. Donoho, Xiaoming Huo
2005	—	`conf`	Recent advances in sparsity-driven signal recovery. ICASSP (5) David L. Donoho, Yaakov Tsaig
2004	J	`jnl`	Beamlab and Reproducible Research. Int. J. Wavelets Multiresolution Inf. Process. David L. Donoho, Xiaoming Huo
2004	—	`conf`	Fast Spiral Fourier Transform for Iterative MR Image Reconstruction. ISBI Michael Lustig, Jacob Tsaig, Jin Hyung Lee, David L. Donoho
2004	B	`conf`	JBEAM: Coding Lines and Curves via Digital Beamlets. Data Compression Conference Xiaoming Huo, Jihong Chen, David L. Donoho
2004	J	`jnl`	Translation Invariant deconvolution in a Periodic Setting. Int. J. Wavelets Multiresolution Inf. Process. David L. Donoho, Marc E. Raimondo
2003	A*	`conf`	An information-theoretic approach to traffic matrix estimation. SIGCOMM Yin Zhang, Matthew Roughan, Carsten Lund, David L. Donoho
2003	J	`jnl`	Gray and color image contrast enhancement by the curvelet transform. IEEE Trans. Image Process. Jean-Luc Starck, Fionn Murtagh, Emmanuel J. Candès, David L. Donoho
2003	J	`jnl`	Locally stationary covariance and signal estimation with macrotiles. IEEE Trans. Signal Process. David L. Donoho, Stéphane Mallat, Rainer von Sachs, Yann Samuelides
2003	—	`conf`	When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts? NIPS David L. Donoho, Victoria Stodden
2002	Misc	`conf`	Deblocking of block-DCT compressed images using deblocking frames of variable size. ICASSP Alon Schclar, Amir Averbuch, David L. Donoho
2002	C	`conf`	Implications for Image Watermarking of Recent Work in Image Analysis and Representation. IWDW Ana Georgina Flesia, David L. Donoho
2002	A	`conf`	Multiscale Stepping-Stone Detection: Detecting Pairs of Jittered Interactive Streams by Exploiting Maximum Tolerable Delay. RAID David L. Donoho, Ana Georgina Flesia, Umesh Shankar, Vern Paxson, Jason Coit, Stuart Staniford
2002	Misc	`conf`	Recovering filamentary objects in severely degraded binary images using beamlet-driven partitioning. ICASSP Xiaoming Huo, David L. Donoho
2002	J	`jnl`	The curvelet transform for image denoising. IEEE Trans. Image Process. Jean-Luc Starck, Emmanuel J. Candès, David L. Donoho
2002	B	`conf`	When does geodesic distance recover the true hidden parametrization of families of articulated images? ESANN David L. Donoho, Carrie Grimes
2001	J	`jnl`	Atomic Decomposition by Basis Pursuit. SIAM Rev. Scott Shaobing Chen, David L. Donoho, Michael A. Saunders
2001	J	`jnl`	Curvelets and Curvilinear Integrals. J. Approx. Theory Emmanuel J. Candès, David L. Donoho
2001	J	`jnl`	Ridge Functions and Orthonormal Ridgelets. J. Approx. Theory David L. Donoho
2001	J	`jnl`	Uncertainty principles and ideal atomic decomposition. IEEE Trans. Inf. Theory David L. Donoho, Xiaoming Huo
2000	J	`jnl`	Nonlinear Pyramid Transforms Based on Median-Interpolation. SIAM J. Math. Anal. David L. Donoho, Thomas P. Y. Yu
2000	J	`jnl`	Orthonormal Ridgelets and Linear Singularities. SIAM J. Math. Anal. David L. Donoho
1999	J	`jnl`	On denoising and best signal representation. IEEE Trans. Inf. Theory Hamid Krim, Dewey Tucker, Stéphane Mallat, David L. Donoho
1998	Misc	`conf`	A simple and robust modulation classification method via counting. ICASSP Xiaoming Huo, David L. Donoho
1998	Misc	`conf`	Application of basis pursuit in spectrum estimation. ICASSP Scott Shaobing Chen, David L. Donoho
1998	J	`jnl`	Atomic Decomposition by Basis Pursuit. SIAM J. Sci. Comput. Scott Shaobing Chen, David L. Donoho, Michael A. Saunders
1998	J	`jnl`	Data Compression and Harmonic Analysis. IEEE Trans. Inf. Theory David L. Donoho, Martin Vetterli, Ronald A. DeVore, Ingrid Daubechies
1995	Misc	`conf`	Best basis algorithm for signal enhancement. ICASSP Hamid Krim, Stéphane Mallat, David L. Donoho, Alan S. Willsky
1995	J	`jnl`	De-noising by soft-thresholding. IEEE Trans. Inf. Theory David L. Donoho
1993	J	`jnl`	A note on rearrangements, spectral concentration, and the zero-order prolate spheroidal wavefunction. IEEE Trans. Inf. Theory David L. Donoho, Philip B. Stark
1990	J	`jnl`	Minimax quadratic estimation of a quadratic functional. J. Complex. David L. Donoho, Michael Nussbaum
1988	J	`jnl`	MacSpin: dynamic graphics on a desktop computer. IEEE Computer Graphics and Applications Andrew W. Donoho, David L. Donoho, Mitiam Gasko