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Felix J. Herrmann, “Phase-space matched filtering and migration preconditioning”, in SINBAD 2008, 2008.
Felix J. Herrmann, Yogi A. Erlangga, Tim T.Y. Lin, and Cody R. Brown, “Introduction to compressive (wavefield) computation”, in SINBAD 2008, 2008.
Felix J. Herrmann, “Compressive sensing and sparse recovery in exploration seismology”, SINBAD Fall consortium talks. SINBAD, 2010.
Felix J. Herrmann and Xiang Li, “Efficient least-squares imaging with sparsity promotion and compressive sensing”, Geophysical Prospecting, vol. 60, pp. 696-712, 2012.
Felix J. Herrmann and Curt Da Silva, “Domain-specific abstractions for full-waveform inversion”, in SIAM Conference on Computational Science and Engineering, 2017.
Felix J. Herrmann, “Compressive sampling meets seismic imaging”, in PIMS, 2007.
Felix J. Herrmann, “Sometimes it pays to be cheap – Compressive time-lapse seismic data acquisition”, SEG Distinguished Lecture. Society of Exploration Geophysicists, 2019.
Felix J. Herrmann, Andrew J. Calvert, Ian Hanlon, Mostafa Javanmehri, Rajiv Kumar, Tristan van Leeuwen, Xiang Li, Brendan R. Smithyman, Eric Takam Takougang, and Haneet Wason, “Frugal full-waveform inversion: from theory to a practical algorithm”, The Leading Edge, vol. 32, pp. 1082-1092, 2013.
Felix J. Herrmann and Peyman P. Moghaddam, “Non-linear regularization in seismic imaging”, in CSEG Annual Conference Proceedings, 2005.
Felix J. Herrmann, “Randomized sampling strategies”, in EAGE Annual Conference Proceedings, 2010.
Felix J. Herrmann, “DNOISE III – the next step”, SINBAD Spring consortium talks. SINBAD, 2014.
Felix J. Herrmann, Ernie Esser, Tristan van Leeuwen, and Bas Peters, “Wavefield Reconstruction Inversion (WRI) – a new take on wave-equation based inversion”, in SEG Workshop on Full Waveform Inversion - Elastic Approaches and Issues with Anisotropy, Nonshallow Inversion, Poor Starting Model; Denver, 2014.
Felix J. Herrmann, Mathias Louboutin, and Ali Siahkoohi, “ML@scale using randomized linear algebra”, in Microsoft, 2021.
Felix J. Herrmann, “Multiple prediction from incomplete data”, in SINBAD 2006, 2006.
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 algorithms in seismic imaging”, in Inaugural Full-Waveform Inversion Workshop, 2015.
Felix J. Herrmann, “Compressive sampling: a new paradigm for seismic data acquistion and processing?”, in ION, 2008.
Felix J. Herrmann, “Latest developments in seismic-data recovery”, SINBAD Spring consortium talks. SINBAD, 2012.
Felix J. Herrmann, “Low-rank based matrix/tensor completions for the "real" (seismic) world”, in Workshop on Sparse Representations, Numerical Linear Algebra, and Optimization; Banff, 2014.
Felix J. Herrmann, “Act normal that's crazy enough — an overview of seismic inversion with normalizing flows and surrogate modeling”, Scientific Computing, Applied and Industrial Mathematics (SCAIM) Seminar. 2023.
Felix J. Herrmann, Ali Siahkoohi, Rafael Orozco, Gabrio Rizzuti, Philipp A. Witte, and Mathias Louboutin, “Learned wave-based imaging - variational inference at scale”, in Delft, 2021.
Felix J. Herrmann, Urs Boeniger, and D. J. Verschuur, “Primary-multiple separation by curvelet frames”, in SINBAD 2006, 2006, vol. 170, pp. 781-799.
Felix J. Herrmann, “Fast sparsity-promoting imaging with message passing”, SINBAD Fall consortium talks. SINBAD, 2012.
Felix J. Herrmann, Urs Boeniger, and D. J. Verschuur, “Non-linear primary-multiple separation with directional curvelet frames”, Geophysical Journal International, vol. 170, pp. 781-799, 2007.
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.

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