| 2025 | ICML | 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 |
| 2022 | ICLR | Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path. | X. Y. Han, Vardan Papyan, David L. Donoho |
| 2021 | ISIT | Two-sample Testing of Discrete Distributions under Rare/Weak Perturbations. | Alon Kipnis, David L. Donoho |
| 2018 | ICML | Convolutional Imputation of Matrix Networks. | Qingyun Sun, Mengyuan Yan, David L. Donoho, Stephen P. Boyd |
| 2013 | ISIT | Achieving Bayes MMSE performance in the sparse signal + Gaussian white noise model when the noise level is unknown. | David L. Donoho, Galen Reeves |
| 2013 | ISIT | The minimax noise sensitivity in compressed sensing. | Galen Reeves, David L. Donoho |
| 2012 | ISIT | Information-theoretically optimal compressed sensing via spatial coupling and approximate message passing. | David L. Donoho, Adel Javanmard, Andrea Montanari |
| 2012 | ISIT | The sensitivity of compressed sensing performance to relaxation of sparsity. | David L. Donoho, Galen Reeves |
| 2011 | ISIT | Compressed Sensing over ℓ | David L. Donoho, Iain M. Johnstone, Arian Maleki, Andrea Montanari |
| 2008 | CISS | Analysis of 1 minimization in the Geometric Separation Problem. | David L. Donoho, Gitta Kutyniok |
| 2006 | CISS | Thresholds for the Recovery of Sparse Solutions via L1 Minimization. | David L. Donoho, Jared Tanner |
| 2006 | ICASSP | Solution of l1Minimization Problems by LARS/Homotopy Methods. | Iddo Drori, David L. Donoho |
| 2006 | IJCNN | Breakdown Point of Model Selection When the Number of Variables Exceeds the Number of Observations. | David L. Donoho, Victoria Stodden |
| 2006 | ISIT | The Simplest Solution to an Underdetermined System of Linear Equations. | David L. Donoho, Hossein Kakavand, James Mammen |
| 2005 | ICASSP | Recent advances in sparsity-driven signal recovery. | David L. Donoho, Yaakov Tsaig |
| 2005 | ICASSP | High-resolution navigation on non-differentiable image manifolds. | Michael B. Wakin, David L. Donoho, Hyeokho Choi, Richard G. Baraniuk |
| 2004 | DCC | JBEAM: Coding Lines and Curves via Digital Beamlets. | Xiaoming Huo, Jihong Chen, David L. Donoho |
| 2003 | SIGCOMM | An information-theoretic approach to traffic matrix estimation. | Yin Zhang, Matthew Roughan, Carsten Lund, David L. Donoho |
| 2002 | ESANN | When does geodesic distance recover the true hidden parametrization of families of articulated images? | David L. Donoho, Carrie Grimes |
| 2002 | ICASSP | Recovering filamentary objects in severely degraded binary images using beamlet-driven partitioning. | Xiaoming Huo, David L. Donoho |
| 2002 | ICASSP | Deblocking of block-DCT compressed images using deblocking frames of variable size. | Alon Schclar, Amir Averbuch, David L. Donoho |
| 2002 | IWDW | Implications for Image Watermarking of Recent Work in Image Analysis and Representation. | Ana Georgina Flesia, David L. Donoho |
| 2002 | RAID | 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 |
| 1998 | ICASSP | Application of basis pursuit in spectrum estimation. | Scott Shaobing Chen, David L. Donoho |
| 1998 | ICASSP | A simple and robust modulation classification method via counting. | Xiaoming Huo, David L. Donoho |
| 1995 | ICASSP | Best basis algorithm for signal enhancement. | Hamid Krim, Stphane Mallat, David L. Donoho, Alan S. Willsky |