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Felix J. Herrmann, Compressive sensing and sparse recovery in exploration seismology, in Talk at University of Wisconsin, 2012.
Felix J. Herrmann, From seismic data to the composition of rocks: an interdisciplinary and multiscale approach to exploration seismology, in Berkhout’s valedictory address: the conceptual approach of understanding, 2007.
Felix J. Herrmann, Peyman P. Moghaddam, and Deli Wang, Curvelet-domain matched filtering, in SEG Technical Program Expanded Abstracts, 2008, vol. 27.
Felix J. Herrmann, Lecture 2. Gene Golub SIAM Summer School July 4 - 15, 2011, in SLIM, 2011.
Felix J. Herrmann, Abhinav Prakash Gahlot, Rafael Orozco, Ziyi Yin, and Grant Bruer, Robust Digital Twin for Geological Carbon Storage, in SIAM Conference on Computational Science and Engineering (CSE25), 2025.
Felix J. Herrmann, A primer on sparsity transforms: curvelets and wave atoms, in SINBAD 2006, 2006.
Felix J. Herrmann, Gang Tang, Reza Shahidi, Gilles Hennenfent, and Tim T.Y. Lin, Beating Nyquist by randomized sampling, in EAGE Annual Conference Proceedings, 2009.
Felix J. Herrmann, Mathias Louboutin, Thomas J. Grady II, Ziyi Yin, and Rishi Khan, The Next Step: Interoperable Domain-Specific Programming, in SIAM Conference on Computational Science and Engineering, 2023.
Felix J. Herrmann, Gene Golub SIAM Summer School July 4 - 15, 2011, in SLIM, 2011.
Felix J. Herrmann, Uncertainty-aware machine-learning enabled velocity-model building with Devito, in 18th Annual Energy High Performance Computing Conference 2025, RICE, 2025, p. 4th Annual Devito User and Developer Workshop.
Felix J. Herrmann, A primer on weak conditions for stable recovery, in SINBAD 2006, 2006.
Felix J. Herrmann and D. J. Verschuur, Robust curvelet-domain primary-multiple separation with sparseness constraints, in EAGE Annual Conference Proceedings, 2005.
Felix J. Herrmann, Randomized sampling strategies, in EAGE Annual Conference Proceedings, 2010.
Felix J. Herrmann, Multiple prediction from incomplete data, in SINBAD 2006, 2006.
Felix J. Herrmann and D. J. Verschuur, Curvelet imaging and processing: adaptive multiple elimination, in CSEG Annual Conference Proceedings, 2004.
Felix J. Herrmann, Sub-Nyquist sampling and sparsity: getting more information from fewer samples, in IRIS, 2010.
Felix J. Herrmann, Randomized sampling in exploration seismology, in KAUST, 2013.
Felix J. Herrmann, Opening meeting, in SINBAD 2006, 2006.
Felix J. Herrmann and D. J. Verschuur, Separation of primaries and multiples by non-linear estimation in the curvelet domain, in EAGE Annual Conference Proceedings, 2004.
Felix J. Herrmann and D. J. Verschuur, Curvelet-domain multiple elimination with sparseness constraints, in SEG Technical Program Expanded Abstracts, 2004, vol. 23, pp. 1333-1336.
Felix J. Herrmann, Compressive sensing and sparse recovery in exploration seismology, in MATHIAS, 2010.
Felix J. Herrmann, Recent developments in wave-equation based inversion technology, in SEG Workshop on FWI; Oman, 2013.
Felix J. Herrmann, Sparsity- and continuity-promoting seismic image recovery with curvelets, in SINBAD 2006, 2006.
Felix J. Herrmann and Deli Wang, Seismic wavefield inversion with curvelet-domain sparsity promotion, in SEG Technical Program Expanded Abstracts, 2008, vol. 27, pp. 2497-2501.
Felix J. Herrmann, Compressed sensing and sparse recovery in exploration seismology, in PIMS, 2009.

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