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Journal Article
Curt Da Silva and Felix J. Herrmann, “Optimization on the Hierarchical Tucker manifold - applications to tensor completion”, Linear Algebra and its Applications, vol. 481, pp. 131-173, 2015.
Oscar Lopez, Rajiv Kumar, Ozgur Yilmaz, and Felix J. Herrmann, “Off-the-grid low-rank matrix recovery and seismic data reconstruction”, IEEE Journal of Selected Topics in Signal Processing, vol. 10, pp. 658-671, 2016.
Felix J. Herrmann and Gilles Hennenfent, “Non-parametric seismic data recovery with curvelet frames”, Geophysical Journal International, vol. 173, pp. 233-248, 2008.
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.
Gilles Hennenfent, Lloyd Fenelon, and Felix J. Herrmann, “Nonequispaced curvelet transform for seismic data reconstruction: a sparsity-promoting approach”, Geophysics, vol. 75, pp. WB203-WB210, 2010.
Navid Ghadermarzy, Hassan Mansour, and Ozgur Yilmaz, “Non-convex compressed sensing using partial support information”, Journal of Sampling Theory in Signal and Image Processing, vol. 13, pp. 249-270, 2014.
Peyman P. Moghaddam, Henk Keers, Felix J. Herrmann, and Wim A. Mulder, “A new optimization approach for source-encoding full-waveform inversion”, Geophysics, vol. 78, pp. R125-R132, 2013.
Gilles Hennenfent, Ewout van den Berg, Michael P. Friedlander, and Felix J. Herrmann, “New insights into one-norm solvers from the Pareto curve”, Geophysics, vol. 73, pp. A23-A26, 2008.
Xiang Li, Ernie Esser, and Felix J. Herrmann, “Modified Gauss-Newton full-waveform inversion explained–-why sparsity-promoting updates do matter”, Geophysics, vol. 81, pp. R125-R138, 2016.
Thomas J. Grady II, Rishi Khan, Mathias Louboutin, Ziyi Yin, Philipp A. Witte, Ranveer Chandra, Russell J. Hewett, and Felix J. Herrmann, “Model-Parallel Fourier Neural Operators as Learned Surrogates for Large-Scale Parametric PDEs”, Computers & Geosciences, vol. 178, p. 105402, 2023.
Can Evren Yarman, Rajiv Kumar, and James Rickett, “A model based data driven dictionary learning for seismic data representation”, Geophysical Prospecting, 2017.
Tristan van Leeuwen and Felix J. Herrmann, “Mitigating local minima in full-waveform inversion by expanding the search space”, Geophysical Journal International, vol. 195, pp. 661-667, 2013.
Mengmeng Yang, Marie Graff, Rajiv Kumar, and Felix J. Herrmann, “Low-rank representation of omnidirectional subsurface extended image volumes”, Geophysics, vol. 86, p. 1MJ-WA152, 2021.
Felix Oghenekohwo, Haneet Wason, Ernie Esser, and Felix J. Herrmann, “Low-cost time-lapse seismic with distributed compressive sensing–-Part 1: exploiting common information among the vintages”, Geophysics, vol. 82, pp. P1-P13, 2017.
Haneet Wason, Felix Oghenekohwo, and Felix J. Herrmann, “Low-cost time-lapse seismic with distributed compressive sensing–-Part 2: impact on repeatability”, Geophysics, vol. 82, pp. P15-P30, 2017.
Navjot Kukreja, Jan Hueckelheim, Mathias Louboutin, John Washbourne, Paul H. J. Kelly, and Gerard J. Gorman, “Lossy Checkpoint Compression in Full Waveform Inversion”, Geoscientific Model Development, vol. 15, pp. 3815-3829, 2022.
Mathias Louboutin, Ziyi Yin, Rafael Orozco, Thomas J. Grady II, Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, Olav Møyner, Gerard J. Gorman, and Felix J. Herrmann, “Learned multiphysics inversion with differentiable programming and machine learning”, The Leading Edge, vol. 42, pp. 452-516, 2023.
Philipp A. Witte, Mathias Louboutin, Navjot Kukreja, Fabio Luporini, Michael Lange, Gerard J. Gorman, and Felix J. Herrmann, “A large-scale framework for symbolic implementations of seismic inversion algorithms in Julia”, Geophysics, vol. 84, pp. F57-F71, 2019.
Joost van der Neut and Felix J. Herrmann, “Interferometric redatuming by sparse inversion”, Geophysical Journal International, vol. 192, pp. 666-670, 2013.
Hassan Mansour, Felix J. Herrmann, and Ozgur Yilmaz, “Improved wavefield reconstruction from randomized sampling via weighted one-norm minimization”, Geophysics, vol. 78, pp. V193-V206, 2013.
Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “The importance of transfer learning in seismic modeling and imaging”, Geophysics, 2019.
Michael P. Friedlander and Mark Schmidt, “Hybrid deterministic-stochastic methods for data fitting”, SIAM Journal on Scientific Computing, vol. 34, pp. A1380-A1405, 2012.
Felix Oghenekohwo and Felix J. Herrmann, “Highly repeatable time-lapse seismic with distributed Compressive Sensing–-mitigating effects of calibration errors”, The Leading Edge, vol. 36, pp. 688-694, 2017.
Rajiv Kumar, Haneet Wason, Shashin Sharan, and Felix J. Herrmann, “Highly repeatable 3D compressive full-azimuth towed-streamer time-lapse acquisition –- a numerical feasibility study at scale”, The Leading Edge, vol. 36, pp. 677-687, 2017.
Philipp A. Witte, Mathias Louboutin, Navjot Kukreja, Fabio Luporini, Michael Lange, Gerard J. Gorman, and Felix J. Herrmann, “Geophysics Bright Spots: Efficient coding of large-scale seismic inversion algorithms”, The Leading Edge, vol. 38, pp. 482-484, 2019.

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