Biblio

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A
Okan Akalin, Curt Da Silva, Rajiv Kumar, Ben Recht, and Felix J. Herrmann, Matrix and tensor completion for large-scale seismic interpolation: a comparative study, SINBAD Fall consortium talks. SINBAD, 2013.
Okan Akalin, Large scale seismic data interpolation with matrix completion, SINBAD Fall consortium talks. SINBAD, 2012.
Ali M. Alfaraj, Rajiv Kumar, and Felix J. Herrmann, Shear wave reconstruction from low cost randomized acquisition, in EAGE Annual Conference Proceedings, 2017.
Ali M. Alfaraj, Rajiv Kumar, and Felix J. Herrmann, Reconstruction of S-waves from low-cost randomized acquisition, SINBAD Fall consortium talks. SINBAD, 2017.
Ali M. Alfaraj, Rajiv Kumar, and Felix J. Herrmann, Seismic waveform inversion using decomposed one-way wavefields, in SEG Technical Program Expanded Abstracts, 2018, pp. 1379-1383.
Ali M. Alfaraj, Rajiv Kumar, and Felix J. Herrmann, Automatic statics and residual statics correction with low-rank approximation, in EAGE Annual Conference Proceedings, 2018.
Ali M. Alfaraj, Rajiv Kumar, and Felix J. Herrmann, Reconstruction of S-waves from low-cost randomized and simultaneous acquisition by joint sparse inversion, in SEG Technical Program Expanded Abstracts, 2017, pp. 2533-2538.
Fadhel Abbas Alhashim, Seismic data processing with the parallel windowed curvelet transform, The University of British Columbia, Vancouver, 2009.
Mufeed H. AlMatar, Estimation of surface-free data by curvelet-domain matched filtering and sparse inversion, The University of British Columbia, Vancouver, 2010.
Mufeed H. AlMatar, Estimation of surface-free data by curvelet-domain matched filtering and sparse inversion, SINBAD Fall consortium talks. SINBAD, 2010.
Mufeed H. AlMatar, Tim T.Y. Lin, and Felix J. Herrmann, Estimation of surface-free data by curvelet-domain matched filtering and sparse inversion, Department of Earth and Ocean Sciences, University of British Columbia, Vancouver, TR-EOAS-2010-1, 2010.
Aleksandr Y. Aravkin, Felix J. Herrmann, Tristan van Leeuwen, and Xiang Li, Fast full-waveform inversion with compressive sensing, in SEG Technical Program Expanded Abstracts, 2011.
Aleksandr Y. Aravkin, Generalized SPGL1: from theory to applications, SINBAD Fall consortium talks. SINBAD, 2012.
Aleksandr Y. Aravkin, Inverse problems using Student's t, SINBAD Spring consortium talks. SINBAD, 2012.
Aleksandr Y. Aravkin, Rajiv Kumar, Hassan Mansour, Ben Recht, and Felix J. Herrmann, An SVD-free Pareto curve approach to rank minimization, UBC, TR-EOAS-2013-2, 2013.
Aleksandr Y. Aravkin, Tristan van Leeuwen, and Felix J. Herrmann, Robust full-waveform inversion using the Student's t-distribution, in SEG Technical Program Expanded Abstracts, 2011, vol. 30, pp. 2669-2673.
Aleksandr Y. Aravkin and Xiang Li, A randomized, sparsity promoting, Gauss-Newton algorithm for seismic waveform inversion, SINBAD Fall consortium talks. SINBAD, 2011.
Aleksandr Y. Aravkin, Michael P. Friedlander, Felix J. Herrmann, and Tristan van Leeuwen, Robust inversion, dimensionality reduction, and randomized sampling, Mathematical Programming, vol. 134, pp. 101-125, 2012.
Aleksandr Y. Aravkin, Felix J. Herrmann, Tristan van Leeuwen, James V. Burke, and Xiang Li, Full waveform inversion with compressive updates, in SIAM, 2011.
Aleksandr Y. Aravkin, Introduction to convex composite optimization, SINBAD Fall consortium talks. SINBAD, 2010.
Aleksandr Y. Aravkin, Estimating nuisance parameters in inverse problems, SINBAD Fall consortium talks. SINBAD, 2012.
Aleksandr Y. Aravkin, Tristan van Leeuwen, and Felix J. Herrmann, Robust FWI using Student's t-distribution, in ICIAM, 2011.
Aleksandr Y. Aravkin, Robust FWI using Student's t & robust source estimation, SINBAD Fall consortium talks. SINBAD, 2011.
Aleksandr Y. Aravkin and Tristan van Leeuwen, Estimating nuisance parameters in inverse problems, Inverse Problems, vol. 28, 2012.
Aleksandr Y. Aravkin, Rajiv Kumar, Hassan Mansour, Ben Recht, and Felix J. Herrmann, Fast methods for denoising matrix completion formulations, with applications to robust seismic data interpolation, SIAM Journal on Scientific Computing, vol. 36, pp. S237-S266, 2014.

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