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Rajiv Kumar, Oscar Lopez, Ernie Esser, and Felix J. Herrmann, “Matrix completion on unstructured grids : 2-D seismic data regularization and interpolation”, in EAGE Annual Conference Proceedings, 2015.
Vishal Kumar, “Curvelet denoising”, in SINBAD 2008, 2008.
Rajiv Kumar, “Enabling large-scale seismic data acquisition, processing and waveform-inversion via rank-minimization”, The University of British Columbia, Vancouver, 2017.
Rajiv Kumar, Felix Oghenekohwo, Shashin Sharan, Haneet Wason, and Felix J. Herrmann, “Low-cost, randomized 3D towed-marine time-lapse seismic acquisition”, SINBAD Fall consortium talks. SINBAD, 2016.
Rajiv Kumar, Tristan van Leeuwen, and Felix J. Herrmann, “Extended images in action: efficient WEMVA via randomized probing”, in EAGE Annual Conference Proceedings, 2014.
Rajiv Kumar, Haneet Wason, Shashin Sharan, and Felix J. Herrmann, “Highly repeatable 3D compressive full-azimuth towed-streamer time-lapse acquisition –- a numerical feasibility study at scale”, The Leading Edge, vol. 36, pp. 677-687, 2017.
Vishal Kumar and Felix J. Herrmann, “Deconvolution with curvelet-domain sparsity”, in SEG Technical Program Expanded Abstracts, 2008, vol. 27, pp. 1996-2000.
Rajiv Kumar, Oscar Lopez, Ernie Esser, and Felix J. Herrmann, “SVD-free matrix completion for seismic data reconstruction”, SINBAD Spring consortium talks. SINBAD, 2014.
Rajiv Kumar, Ning Tu, Tristan van Leeuwen, and Felix J. Herrmann, “Least-squares extended imaging with surface-related multiples”, UBC, TR-EOAS-2015-1, 2015.
Rajiv Kumar, Shashin Sharan, Haneet Wason, and Felix J. Herrmann, “Time-jittered marine acquisition–-a rank-minimization approach for 5D source separation”, in SEG Technical Program Expanded Abstracts, 2016, pp. 119-123.
Rajiv Kumar, Aleksandr Y. Aravkin, Hassan Mansour, Ben Recht, and Felix J. Herrmann, “Seismic data interpolation and denoising using SVD-free low-rank matrix factorization”, in EAGE Annual Conference Proceedings, 2013.
Vishal Kumar, Jounada Oueity, Ron Clowes, and Felix J. Herrmann, “Enhancing crustal reflection data through curvelet denoising”, Technophysics, vol. 508, pp. 106-116, 2011.
Rajiv Kumar, Curt Da Silva, Yiming Zhang, and Felix J. Herrmann, “Low-rank methods for on-the-fly slicing & dicing of seismic data & image volumes”, SINBAD Fall consortium talks. SINBAD, 2016.
Rajiv Kumar, Hassan Mansour, Aleksandr Y. Aravkin, and Felix J. Herrmann, “Seismic data interpolation via low-rank matrix factorization in the hierarchical semi-separable representation”, SINBAD Spring consortium talks. SINBAD, 2013.
Rajiv Kumar, Shashin Sharan, Nick Moldoveanu, and Felix J. Herrmann, “Compressed sensing based land simultaneous acquisition using encoded sweeps”, in EAGE Annual Conference Proceedings, 2018.
Rajiv Kumar, Aleksandr Y. Aravkin, Ernie Esser, Hassan Mansour, and Felix J. Herrmann, “SVD-free low-rank matrix factorization : wavefield reconstruction via jittered subsampling and reciprocity”, in EAGE Annual Conference Proceedings, 2014.
Rajiv Kumar, Marie Graff-Kray, Ivan Vasconcelos, and Felix J. Herrmann, “Target-oriented imaging using extended image volumes—a low-rank factorization approach”, Geophysical Prospecting, vol. 67, pp. 1312-1328, 2019.
Vishal Kumar and Felix J. Herrmann, “Curvelet-regularized seismic deconvolution”, in CSEG Annual Conference Proceedings, 2008.
Rajiv Kumar, Maria Kotsi, Ali Siahkoohi, and Alison Malcolm, “Enabling uncertainty quantification for seismic data pre-processing using normalizing flows (NF)—an interpolation example”, in SEG Technical Program Expanded Abstracts, 2021, pp. 1515-1519.
Rajiv Kumar, Haneet Wason, and Felix J. Herrmann, “Time-jittered marine acquisition: low-rank v/s sparsity”, SINBAD Fall consortium talks. SINBAD, 2014.
Vishal Kumar, “Incoherent noise suppression and deconvolution using curvelet-domain sparsity”, The University of British Columbia, Vancouver, 2009.
Navjot Kukreja, Jan Hueckelheim, Mathias Louboutin, John Washbourne, Paul H. J. Kelly, and Gerard J. Gorman, “Lossy Checkpoint Compression in Full Waveform Inversion”, Geoscientific Model Development, vol. 15, pp. 3815-3829, 2022.
Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, Paul Hovland, and Gerard Gorman, “Combining checkpointing and data compression to accelerate adjoint-based optimization problems”, Euro-Par 2019: Parallel Processing, pp. 87-100, 2019.
Navjot Kukreja, Michael Lange, Mathias Louboutin, Fabio Luporini, and Gerard Gorman, “Devito: symbolic math for automated fast finite difference computations”, in SIAM Conference on Computational Science and Engineering, 2017.
Navjot Kukreja, Mathias Louboutin, Michael Lange, Fabio Luporini, and Gerard Gorman, “Leveraging symbolic math for rapid development of applications for seismic modeling”, in OGHPC, 2017.

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