| The Optimal Hard Threshold for Singular Values is M Gavish, DL Donoho IEEE Transactions on Information Theory 60 (8), 5040-5053, 2014 | 811 | 2014 |
| Multiscale wavelets on trees, graphs and high dimensional data: theory and applications to semi supervised learning. M Gavish, B Nadler, RR Coifman ICML 10, 367-74, 2010 | 301 | 2010 |
| Optimal shrinkage of eigenvalues in the spiked covariance model DL Donoho, M Gavish, IM Johnstone Annals of statistics 46 (4), 1742, 2018 | 239 | 2018 |
| Optimal shrinkage of singular values M Gavish, DL Donoho IEEE Transactions on Information Theory 63 (4), 2137-2152, 2017 | 221 | 2017 |
| Minimax risk of matrix denoising by singular value thresholding D Donoho, M Gavish | 140 | 2014 |
| Deterministic matrices matching the compressed sensing phase transitions of Gaussian random matrices H Monajemi, S Jafarpour, M Gavish, Stat 330/CME 362 Collaboration, ... Proceedings of the National Academy of Sciences 110 (4), 1181-1186, 2013 | 129 | 2013 |
| High-precision phrase-based document classification on a modern scale R Bekkerman, M Gavish Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 79 | 2011 |
| The phase transition of matrix recovery from Gaussian measurements matches the minimax MSE of matrix denoising DL Donoho, M Gavish, A Montanari Proceedings of the National Academy of Sciences 110 (21), 8405-8410, 2013 | 76 | 2013 |
| A universal identifier for computational results M Gavish, D Donoho Procedia Computer Science 4, 637-647, 2011 | 66 | 2011 |
| Harmonic analysis of digital data bases RR Coifman, M Gavish Wavelets and Multiscale Analysis: Theory and Applications, 161-197, 2011 | 64 | 2011 |
| The science of deep learning R Baraniuk, D Donoho, M Gavish Proceedings of the National Academy of Sciences 117 (48), 30029-30032, 2020 | 60 | 2020 |
| The association of inflammatory bowel diseases with autoimmune disorders: a report from the epi-IIRN S Bar Yehuda, R Axlerod, O Toker, N Zigman, I Goren, V Mourad, ... Journal of Crohn's and Colitis 13 (3), 324-329, 2019 | 49 | 2019 |
| Sampling, denoising and compression of matrices by coherent matrix organization M Gavish, RR Coifman Applied and Computational Harmonic Analysis 33 (3), 354-369, 2012 | 49 | 2012 |
| Wavelets and multiscale analysis: theory and applications J Cohen, AI Zayed Springer Science & Business Media, 2011 | 36 | 2011 |
| ScreeNOT: Exact MSE-optimal singular value thresholding in correlated noise D Donoho, M Gavish, E Romanov The Annals of Statistics 51 (1), 122-148, 2023 | 35 | 2023 |
| Automated evaluation of human embryo blastulation and implantation potential using deep‐learning Y Kan-Tor, N Zabari, I Erlich, A Szeskin, T Amitai, D Richter, Y Or, ... Advanced Intelligent Systems 2 (10), 2000080, 2020 | 35 | 2020 |
| Method and apparatus for certification of facts DL Donoho, M Gavish US Patent 9,064,238, 2015 | 34 | 2015 |
| Local conformal autoencoder for standardized data coordinates E Peterfreund, O Lindenbaum, F Dietrich, T Bertalan, M Gavish, ... Proceedings of the National Academy of Sciences 117 (49), 30918-30927, 2020 | 29 | 2020 |
| Multidimensional scaling of noisy high dimensional data E Peterfreund, M Gavish Applied and Computational Harmonic Analysis 51, 333-373, 2021 | 27 | 2021 |
| Measures with uniform scaling scenery M Gavish Ergodic Theory and Dynamical Systems 31 (1), 33-48, 2011 | 26 | 2011 |
Ronald Coifmanprofessor of mathematics yale universityВерификована је имејл адреса на math.yale.edu
