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Philipp A. Witte, Ning Tu, Ernie Esser, Mengmeng Yang, Mathias Louboutin, and Felix J. Herrmann, “Sparsity-promoting least-square migration with linearized Bregman and compressive sensing”, in Inaugural Full-Waveform Inversion Workshop, 2015.
Philipp A. Witte, Mengmeng Yang, and Felix J. Herrmann, “Sparsity-promoting least-squares migration with the linearized inverse scattering imaging condition”, in EAGE Annual Conference Proceedings, 2017.
Xiang Li and Felix J. Herrmann, “Sparsity-promoting migration accelerated by message passing”, in SEG Technical Program Expanded Abstracts, 2012, vol. 31, pp. 1-6.
Tim T.Y. Lin, Ning Tu, and Felix J. Herrmann, “Sparsity-promoting migration from surface-related multiples”, in SEG Technical Program Expanded Abstracts, 2010, vol. 29, pp. 3333-3337.
Ning Tu, Tim T.Y. Lin, and Felix J. Herrmann, “Sparsity-promoting migration with surface-related multiples”, in EAGE Annual Conference Proceedings, 2011.
Shashin Sharan, Rajiv Kumar, Diego S. Dumani, Mathias Louboutin, Rongrong Wang, Stanislav Emelianov, and Felix J. Herrmann, “Sparsity-promoting photoacoustic imaging with source estimation”, in 2018 IEEE International Ultrasonics Symposium (IUS), 2018, pp. 206-212.
Haneet Wason, Felix J. Herrmann, and Tim T.Y. Lin, “Sparsity-promoting recovery from simultaneous data: a compressive sensing approach”, in SEG Technical Program Expanded Abstracts, 2011, vol. 30, pp. 6-10.
Ewout van den Berg and Michael P. Friedlander, “Spot: A linear-operator toolbox for Matlab”, in SCAIM, University of British Columbia, 2009.
Tim T.Y. Lin and Felix J. Herrmann, “Stabilized estimation of primaries via sparse inversion”, in EAGE Annual Conference Proceedings, 2010.
Felix J. Herrmann, “Stable recovery and separation of seismic data”, in SINBAD 2006, 2006.
Felix J. Herrmann, “Stable seismic data recovery”, in AIP, 2007.
Rayan Saab, Rick Chartrand, and Ozgur Yilmaz, “Stable sparse approximations via nonconvex optimization”, in ICASSP, 2008.
Ozgur Yilmaz, “Stable sparse expansions via non-convex optimization”, in SINBAD 2008, 2008.
Zhilong Fang, Tim Burgess, and Felix J. Herrmann, “Stochastic optimization and its application to seismic inversion”, in Inaugural Full-Waveform Inversion Workshop, 2015.
Curt Da Silva and Felix J. Herrmann, “Structured tensor missing-trace interpolation in the Hierarchical Tucker format”, in SEG Technical Program Expanded Abstracts, 2013, vol. 32, pp. 3623-3627.
Tim T.Y. Lin and Felix J. Herrmann, “The student-driven HPC environment at SLIM”, in Inaugural Full-Waveform Inversion Workshop, 2015.
Felix J. Herrmann, “Sub-Nyquist sampling and sparsity: getting more information from fewer samples”, in IRIS, 2010.
Felix J. Herrmann, “Sub-Nyquist sampling and sparsity: how to get more information from fewer samples”, in SEG Technical Program Expanded Abstracts, 2009, vol. 28, pp. 3410-3415.
Hassan Mansour and Ozgur Yilmaz, “Support driven reweighted $\ell_1$ minimization”, in ICASSP, 2012.
Felix J. Herrmann, “Surface related multiple prediction from incomplete data”, in EAGE Annual Conference Proceedings, 2007.
Ali Siahkoohi, Dirk J. Verschuur, and Felix J. Herrmann, “Surface-related multiple elimination with deep learning”, in SEG Technical Program Expanded Abstracts, 2019, pp. 4629-4634.
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.
Oscar Lopez, Haneet Wason, Curt Da Silva, Rajiv Kumar, and Felix J. Herrmann, “SVD-free matrix completion in randomized marine acquisition”, in SEG Workshop on Rank-Reduction and Other Sparse Transform Methods with Application to Data Reconstruction, De-Noising, De-Blending and Imaging; New Orleans, 2015.

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