Home /Biblio

Biblio

Export 1017 results:
[ Author(Desc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
H
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, “Randomized algorithms in seismic imaging”, in Inaugural Full-Waveform Inversion Workshop, 2015.
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, “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 and Tristan van Leeuwen, “SINBAD's research program”, presented at the 11, 2011.
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, “Compressive seismic imaging”, in AMS Von Neumann, 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 and Haneet Wason, “Compressive sensing in marine acquisition and beyond”, in EAGE Annual Conference Proceedings, 2012.
Felix J. Herrmann, “Breaking structure - why randomized sampling matters”, in CSEG Technical Luncheon, 2014.
Felix J. Herrmann, Ali Siahkoohi, and Gabrio Rizzuti, “Learned imaging with constraints and uncertainty quantification”, in Neural Information Processing Systems (NeurIPS), 2019.
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, Haneet Wason, and Tim T.Y. Lin, “Compressive sensing in seismic exploration: an outlook on a new paradigm”, CSEG Recorder, vol. 36, pp. 34-39, 2011.
Felix J. Herrmann, “Recent developments in primary-multiple separation”, in SINBAD 2007, 2007.

Pages