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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.
Oscar Lopez, Rajiv Kumar, Nick Moldoveanu, and Felix J. Herrmann, “Spectral Gap-Based Seismic Survey Design”, IEEE Transactions on Geoscience and Remote Sensing, 2023.
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.
Emmanouil Daskalakis, Rachel Kuske, Mengmeng Yang, and Felix J. Herrmann, “Stochastic Optimization from the perspective of dynamical systems”, SINBAD Fall consortium talks. SINBAD, 2017.
Zhilong Fang and Felix J. Herrmann, “A stochastic quasi-Newton McMC method for uncertainty quantification of full-waveform inversion”, UBC, TR-EOAS-2014-6, 2014.
Zhilong Fang, Chia Ying Lee, and Felix J. Herrmann, “A stochastic quasi-Newton McMC method for uncertainty quantification of full-waveform inversion”, SINBAD Spring consortium talks. SINBAD, 2014.
Curt Da Silva and Felix J. Herrmann, “Structured tensor formats for missing-trace interpolation and beyond”, SINBAD Fall consortium talks. SINBAD, 2013.
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.
Felix J. Herrmann, “Supercool(ed) least-squares imaging: latest insights in sparsity-promoting migration”, SINBAD Spring consortium talks. SINBAD, 2012.
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.
Rajiv Kumar, Oscar Lopez, Ernie Esser, and Felix J. Herrmann, “SVD-free matrix completion for seismic data reconstruction”, SINBAD Spring consortium talks. SINBAD, 2014.

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