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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.
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.
Felix J. Herrmann, “Surface related multiple prediction from incomplete data”, in EAGE Annual Conference Proceedings, 2007.
Hassan Mansour and Ozgur Yilmaz, “Support driven reweighted $\ell_1$ minimization”, in ICASSP, 2012.
Felix J. Herrmann, “Supercool(ed) least-squares imaging: latest insights in sparsity-promoting migration”, SINBAD Spring consortium talks. SINBAD, 2012.
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, “Sub-Nyquist sampling and sparsity: getting more information from fewer samples”, in IRIS, 2010.
Tim T.Y. Lin and Felix J. Herrmann, “The student-driven HPC environment at SLIM”, 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.
Curt Da Silva and Felix J. Herrmann, “Structured tensor formats for missing-trace interpolation and beyond”, SINBAD Fall consortium talks. SINBAD, 2013.
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.
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.
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, Tim Burgess, and Felix J. Herrmann, “Stochastic optimization and its application to seismic inversion”, in Inaugural Full-Waveform Inversion Workshop, 2015.
Ozgur Yilmaz, “Stable sparse expansions via non-convex optimization”, in SINBAD 2008, 2008.
Rayan Saab, Rick Chartrand, and Ozgur Yilmaz, “Stable sparse approximations via nonconvex optimization”, in ICASSP, 2008.
Felix J. Herrmann, “Stable seismic data recovery”, in AIP, 2007.
Felix J. Herrmann, “Stable recovery and separation of seismic data”, in SINBAD 2006, 2006.
Tim T.Y. Lin and Felix J. Herrmann, “Stabilized estimation of primaries via sparse inversion”, in EAGE Annual Conference Proceedings, 2010.
Ewout van den Berg and Michael P. Friedlander, “Spot: A linear-operator toolbox for Matlab”, in SCAIM, University of British Columbia, 2009.
Oscar Lopez, Rajiv Kumar, Nick Moldoveanu, and Felix J. Herrmann, “Spectral Gap-Based Seismic Survey Design”, IEEE Transactions on Geoscience and Remote Sensing, 2023.
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.
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.
Ning Tu, Tim T.Y. Lin, and Felix J. Herrmann, “Sparsity-promoting migration with surface-related multiples”, in EAGE Annual Conference Proceedings, 2011.
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.

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