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Felix J. Herrmann, “Curvelet-domain matched filtering”, in SEG Technical Program Expanded Abstracts, 2008, vol. 27, pp. 3643-3649.
Felix J. Herrmann, Haneet Wason, and Tim T.Y. Lin, “Compressive sensing in seismic exploration: an outlook on a new paradigm”, CSEG Recorder, vol. 36, pp. 19-33, 2011.
Felix J. Herrmann, “Supercool(ed) least-squares imaging: latest insights in sparsity-promoting migration”, SINBAD Spring consortium talks. SINBAD, 2012.
Felix J. Herrmann, Yogi A. Erlangga, and Tim T.Y. Lin, “Compressive sensing applied to full-waveform inversion”, in EAGE Annual Conference Proceedings, 2009.
Felix J. Herrmann, “NSERC 2013 DNOISE progress report”, UBC, TR-EOAS-2013-5, 2013.
Felix J. Herrmann, “Latest developments in marine (4D) acquisition”, SINBAD Spring consortium talks. SINBAD, 2014.
Felix J. Herrmann, “Phase transitions in explorations seismology: statistical mechanics meets information theory”, in COIP, 2007.
Felix J. Herrmann, “Imaging/Inversion with irregular/random sampled spatial arrays”, in SEG-AGU Workshop on Advances in Active + Passive "Full Wavefield" Seismic Imaging: From Reservoirs to Plate Tectonics, 2014.
Felix J. Herrmann, “Challenges and opportunities for compressive sensing in seismic acquisition”, SINBAD Fall consortium talks. SINBAD, 2011.
Felix J. Herrmann and Xiang Li, “Efficient least-squares migration with sparsity promotion”, in EAGE Annual Conference Proceedings, 2011.
Felix J. Herrmann, “Empirical recovery conditions for seismic sampling”, Department of Earth and Ocean Sciences, UBC, TR-EOAS-2010-2, 2010.
Felix J. Herrmann, “Wavefield-Reconstruction Inversion — WRI”, in Inaugural Full-Waveform Inversion Workshop, 2015.
Felix J. Herrmann, Gerard J. Gorman, Jan Hückelheim, Keegan Lensink, Paul H. J. Kelly, Navjot Kukreja, Henryk Modzelewski, Michael Lange, Mathias Louboutin, Fabio Luporini, Ali Siahkoohi, and Philipp A. Witte, “The power of abstraction in Computational Exploration Seismology”, in Smoky Mountains Computational Sciences and Engineering Conference, 2018.
Felix J. Herrmann, Mathias Louboutin, and Ali Siahkoohi, “ML@scale using randomized linear algebra”, in Microsoft, 2021.
Felix J. Herrmann, “Seismic image amplitude recovery”, in SINBAD 2007, 2007.
Felix J. Herrmann, Peyman P. Moghaddam, and R. Kirlin, “Optimization strategies for sparseness- and continuity-enhanced imaging: theory”, in EAGE Annual Conference Proceedings, 2005.
Felix J. Herrmann, “Approximate message passing meets exploration seismology”, in 2012 IEEE Statistical Signal Processing Workshop (SSP) (SSP'12), Ann Arbor, Michigan, USA, 2012.
Felix J. Herrmann, “Seismic advances”, International Innovation, pp. 46-49, 2013.
Felix J. Herrmann, “Compressed sensing and sparse recovery in exploration seismology”, in PIMS, 2009.
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, “Dimensionality reduction in FWI”, in SIAM, 2013.
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, “"Optimal" imaging with curvelets”, in SEG Technical Program Expanded Abstracts, 2003, vol. 22, pp. 997-1000.
Felix J. Herrmann, “Sometimes it pays to be cheap – Compressive time-lapse seismic data acquisition”, SEG Distinguished Lecture. Society of Exploration Geophysicists, 2019.

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