| Efficient matrix completion for seismic data reconstruction R Kumar, C Da Silva, O Akalin, AY Aravkin, H Mansour, B Recht, ... Geophysics 80 (5), V97-V114, 2015 | 109 | 2015 |
| Fast methods for denoising matrix completion formulations, with applications to robust seismic data interpolation A Aravkin, R Kumar, H Mansour, B Recht, FJ Herrmann SIAM Journal on Scientific Computing 36 (5), S237-S266, 2014 | 95 | 2014 |
| Seismic data reconstruction with Generative Adversarial Networks A Siahkoohi, R Kumar, FJ Herrmann EAGE, 2018 | 75 | 2018 |
| Source separation for simultaneous towed-streamer marine acquisition—A compressed sensing approach R Kumar, H Wason, FJ Herrmann Geophysics 80 (6), WD73-WD88, 2015 | 74 | 2015 |
| Off-the-grid low-rank matrix recovery and seismic data reconstruction O López, R Kumar, Ö Yılmaz, FJ Herrmann IEEE Journal of Selected Topics in Signal Processing 10 (4), 658-671, 2016 | 27 | 2016 |
| Seismic data interpolation and denoising using svd-free low-rank matrix factorization R Kumar, AY Aravkin, H Mansour, B Recht, FJ Herrmann 75th EAGE Conference & Exhibition incorporating SPE EUROPEC 2013, cp-348-00933, 2013 | 27 | 2013 |
| Frugal full-waveform inversion: From theory to a practical algorithm FJ Herrmann, I Hanlon, R Kumar, T Leeuwen, X Li, B Smithyman, ... The Leading Edge 32 (9), 1082-1092, 2013 | 26 | 2013 |
| Source separation via SVD-free rank minimization in the hierarchical semi-separable representation H Wason, R Kumar, FJ Herrmann, AY Aravkin SEG Technical Program Expanded Abstracts 2014, 120-126, 2014 | 23 | 2014 |
| Deep Convolutional Neural Networks in prestack seismic–-two exploratory examples A Siahkoohi, M Louboutin, R Kumar, FJ Herrmann SEG, 2018 | 20 | 2018 |
| Fast methods for rank minimization with applications to seismic-data interpolation R Kumar, AY Aravkin, FJ Herrmann Technical Report - UBC (TR-EOAS-2012-3), 2012 | 17 | 2012 |
| Reconstruction of seismic wavefields via low-rank matrix factorization in the hierarchical-separable matrix representation R Kumar, H Mansour, FJ Herrmann, AY Aravkin SEG Technical Program Expanded Abstracts 2013, 3628-3633, 2013 | 16 | 2013 |
| Deep-learning based ocean bottom seismic wavefield recovery A Siahkoohi, R Kumar, FJ Herrmann SEG, 2019 | 15 | 2019 |
| Enabling numerically exact local solver for waveform-inversion—a low-rank approach R Kumar, B Willemsen, FJ Herrmann, AE Malcolm Computational Geoscience, 2018 | 14 | 2018 |
| Massive 3D seismic data compression and inversion with hierarchical Tucker Y Zhang, CD Silva, R Kumar, FJ Herrmann SEG, 2017 | 13 | 2017 |
| Basis Pursuit Denoise with Nonsmooth Constraints R Baraldi, R Kumar, A Aravkin IEEE Transactions on Signal Processing, 2019 | 12 | 2019 |
| A model based data driven dictionary learning for seismic data representation CE Yarman, R Kumar, J Rickett Geophysical Prospecting, 2017 | 12 | 2017 |
| Matrix Completion on Unstructured Grids-2-D Seismic Data Regularization and Interpolation R Kumar, O López, E Esser, FJ Herrmann 77th EAGE Conference and Exhibition 2015 2015 (1), 1-5, 2015 | 12 | 2015 |
| SVD-free Low-rank Matrix Factorization-Wavefield Reconstruction Via Jittered Subsampling and Reciprocity R Kumar, AY Aravkin, E Esser, H Mansour, FJ Herrmann 76th EAGE Conference and Exhibition 2014 2014 (1), 1-5, 2014 | 12 | 2014 |
| Enabling uncertainty quantification for seismic data pre-processing using normalizing flows (NF)—an interpolation example R Kumar, M Kotsi, A Siahkoohi, M A SEG, 2021 | 11 | 2021 |
| Decentralized full-waveform inversion A Kadu, R Kumar EAGE, 2018 | 11* | 2018 |
Felix J. HerrmannProfessor Schools of Earth and Atmospheric Sciences, Computational Science and EngineeringVerified email at gatech.edu
