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Rajiv Kumar, Hassan Mansour, Aleksandr Y. Aravkin, and Felix J. Herrmann, “Reconstruction of seismic wavefields via low-rank matrix factorization in the hierarchical-separable matrix representation”, in SEG Technical Program Expanded Abstracts, 2013, vol. 32, pp. 3628-3633.
Rajiv Kumar, Tristan van Leeuwen, and Felix J. Herrmann, “AVA analysis and geological dip estimation via two-way wave-equation based extended images”, in SEG Technical Program Expanded Abstracts, 2013, vol. 32, pp. 423-427.
Rajiv Kumar, Tristan van Leeuwen, and Felix J. Herrmann, “Efficient WEMVA using extended images”, in SEG Workshop on Advances in Model Building, Imaging, and FWI; Houston, 2013.
Rajiv Kumar, Marie Graff-Kray, Tristan van Leeuwen, and Felix J. Herrmann, “Low-rank representation of extended image volumes––applications to imaging and velocity continuation”, in SEG Technical Program Expanded Abstracts, 2018, pp. 4418-4422.
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.
Navjot Kukreja, Mathias Louboutin, Felippe Vieira Zacarias, Fabio Luporini, Michael Lange, and Gerard Gorman, “Devito: automated fast finite difference computation”, in WOLFHPC 2016 Workshop (Super Computing), 2016.
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.
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.
Ajinkya Kadu and Rajiv Kumar, “Decentralized full-waveform inversion”, in EAGE Annual Conference Proceedings, 2018.
Ajinkya Kadu, Rajiv Kumar, and Tristan van Leeuwen, “Full-waveform inversion with Mumford-Shah regularization”, in SEG Technical Program Expanded Abstracts, 2018, pp. 1258-1262.
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Bander Jumah and Felix J. Herrmann, “Dimensionality-reduced estimation of primaries by sparse inversion”, in SEG Technical Program Expanded Abstracts, 2011, vol. 30, pp. 3520-3525.
James Johnson and Gilles Hennenfent, “Seismic data interpolation with symmetry”, in SINBAD 2008, 2008.
James Johnson, Tim T.Y. Lin, and Felix J. Herrmann, “Estimation of primaries via sparse inversion with reciprocity”, in EAGE Annual Conference Proceedings, 2010.
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Felix J. Herrmann and Peyman P. Moghaddam, “Curvelet imaging and processing: sparseness-constrained least-squares migration”, in CSEG Annual Conference Proceedings, 2004.
Felix J. Herrmann, “Multifractional splines: application to seismic imaging”, in Proceedings of SPIE Technical Conference on Wavelets: Applications in Signal and Image Processing X, 2003, vol. 5207, pp. 240-258.
Felix J. Herrmann and Bas Peters, “Constraints versus penalties for edge-preserving full-waveform inversion”, in SEG Workshop on Where are we heading with FWI; Dallas, 2016.
Felix J. Herrmann, “Multiple prediction from incomplete data with the focused curvelet transform”, in SEG Technical Program Expanded Abstracts, 2007, vol. 26, pp. 2505-2600.
Felix J. Herrmann and Peyman P. Moghaddam, “Curvelet-domain least-squares migration with sparseness constraints”, in EAGE Annual Conference Proceedings, 2004.
Felix J. Herrmann, “Low-rank based matrix/tensor completions for the "real" (seismic) world”, in Workshop on Sparse Representations, Numerical Linear Algebra, and Optimization; Banff, 2014.
Felix J. Herrmann, “Randomized sampling in exploration seismology”, in NIPS, 2013.
Felix J. Herrmann, “Compressed wavefield extrapolation”, in SINBAD 2007, 2007.
Felix J. Herrmann and Peyman P. Moghaddam, “Curvelet-domain preconditioned 'wave-equation' depth-migration with sparseness and illumination constraints”, in EAGE Annual Conference Proceedings, 2004.
Felix J. Herrmann, “Pass on the message: recent insights in large-scale sparse recovery”, in EAGE Annual Conference Proceedings, 2012.
Felix J. Herrmann, “Focused recovery with the curvelet transform”, in SINBAD 2007, 2007.
Felix J. Herrmann and Peyman P. Moghaddam, “Curvelet-based non-linear adaptive subtraction with sparseness constraints”, in SEG Technical Program Expanded Abstracts, 2004, vol. 23, pp. 1977-1980.

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