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Gilles Hennenfent and Felix J. Herrmann, Random sampling: new insights into the reconstruction of coarsely sampled wavefields, in SEG Technical Program Expanded Abstracts, 2007, pp. 2575-2579.
Gilles Hennenfent and Felix J. Herrmann, Recent insights in $\ell_1$ solvers, in SINBAD 2007, 2007.
Gilles Hennenfent and Felix J. Herrmann, Application of stable signal recovery to seismic data interpolation, in SEG Technical Program Expanded Abstracts, 2006, pp. 2797-2801.
Gilles Hennenfent and Felix J. Herrmann, Sparseness-constrained data continuation with frames: applications to missing traces and aliased signals in 2/3-D, in SEG Technical Program Expanded Abstracts, 2005, pp. 2162-2165.
Gilles Hennenfent and Felix J. Herrmann, Three-term amplitude-versus-offset (AVO) inversion revisited by curvelet and wavelet transforms, in SEG Technical Program Expanded Abstracts, 2004, pp. 211-214.
Gilles Hennenfent, Felix J. Herrmann, and R. Neelamani, Sparseness-constrained seismic deconvolution with curvelets, in CSEG Annual Conference Proceedings, 2005.
Gilles Hennenfent, R. Neelamani, and Felix J. Herrmann, Seismic deconvolution revisited with curvelet frames, in EAGE Annual Conference Proceedings, 2005.
V. Henriksson, Abhinav Prakash Gahlot, and Felix J. Herrmann, Predicting Subsurface CO2 Saturation using Late Fusion of Seismic and Streaming Well Data, in ML4SEISMIC Partners Meeting, 2025.
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, Randomized sampling strategies, in EAGE Annual Conference Proceedings, 2010.
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, 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, Sub-Nyquist sampling and sparsity: getting more information from fewer samples, in IRIS, 2010.
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, Randomized sampling in exploration seismology, in KAUST, 2013.
Felix J. Herrmann, Sparsity- and continuity-promoting seismic image recovery with curvelets, in SINBAD 2006, 2006.
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, Stable recovery and separation of seismic data, in SINBAD 2006, 2006.
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 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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