Biblio

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Felix J. Herrmann and Bas Peters, Pros and cons of full- and reduced-space methods for Wavefield Reconstruction Inversion, in SIAM Conference on Mathematical and Computational Issues in the Geosciences, 2015.
Felix J. Herrmann, Deli Wang, and D. J. Verschuur, Adaptive curvelet-domain primary-multiple separation, Geophysics, vol. 73, pp. A17-A21, 2008.
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, Dimensionality-reduced estimation of primaries by sparse inversion, SINBAD Spring consortium talks. SINBAD, 2011.
Felix J. Herrmann, Multiple prediction from incomplete data, in SINBAD 2006, 2006.
Felix J. Herrmann and Ning Tu, Fast RTM with multiples and source estimation, in EAGE/SEG Forum - Turning noise into geological information: The next big step?, 2013.
Felix J. Herrmann, Mathias Louboutin, and Ali Siahkoohi, ML@scale using randomized linear algebra, in Microsoft, 2021.
Felix J. Herrmann and Bas Peters, Constraints versus penalties for edge-preserving full-waveform inversion, SINBAD Fall consortium talks. SINBAD, 2016.
Felix J. Herrmann, Compressive sampling: a new paradigm for seismic data acquistion and processing?, in ION, 2008.
Felix J. Herrmann, NSERC 2012 DNOISE progress report, UBC, TR-EOAS-2012-4, 2012.
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 and Tristan van Leeuwen, SINBAD's research program, presented at the 11, 2011.
Felix J. Herrmann, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin, and Mathias Louboutin, Derisking geological storage with simulation-based seismic monitoring design and machine learning, in Carbon, Capture, Utilization, and Storage, 2023.
Felix J. Herrmann, Compressive seismic imaging, in AMS Von Neumann, 2007.
Felix J. Herrmann, Randomized algorithms in exploration seismology, in ASEG Annual Conference Proceedings, 2015.
Felix J. Herrmann, Michael P. Friedlander, and Ozgur Yilmaz, Fighting the curse of dimensionality: compressive sensing in exploration seismology, Signal Processing Magazine, IEEE, vol. 29, pp. 88-100, 2012.
Felix J. Herrmann and Peyman P. Moghaddam, Curvelet-based non-linear adaptive subtraction with sparseness constraints, in SEG Technical Program Expanded Abstracts, 2004, vol. 23, pp. 1977-1980.
Felix J. Herrmann, Accelerated large-scale inversion with message passing, in SEG Technical Program Expanded Abstracts, 2012, vol. 31, pp. 1-6.
Felix J. Herrmann, Supercool(ed) least-squares imaging: latest insights in sparsity-promoting migration, SINBAD Spring consortium talks. SINBAD, 2012.
Felix J. Herrmann, Recent developments in primary-multiple separation, in SINBAD 2007, 2007.
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, Deli Wang, Gilles Hennenfent, and Peyman P. Moghaddam, Seismic data processing with curvelets: a multiscale and nonlinear approach, in SEG Technical Program Expanded Abstracts, 2007, vol. 26, pp. 2220-2224.
Felix J. Herrmann, Compressed sensing and sparse recovery in exploration seismology, in PIMS, 2009.
Felix J. Herrmann, Overview research at the SINBAD Consortium, UBC, TR-EOAS-2016-1, 2016.

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