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Author Title [ Type(Asc)] Year
Journal Article
Ewout van den Berg and Michael P. Friedlander, “Probing the Pareto frontier for basis pursuit solutions”, SIAM Journal on Scientific Computing, vol. 31, pp. 890-912, 2008.
Y. Bernabé, U. Mok, B. Evans, and Felix J. Herrmann, “Permeability and storativity of binary mixtures of high-and low-porosity materials”, Journal of Geophysical Research: Solid Earth, vol. 109, p. B12207, 2004.
Mathias Louboutin, Michael Lange, Felix J. Herrmann, Navjot Kukreja, and Gerard Gorman, “Performance prediction of finite-difference solvers for different computer architectures”, Computers & Geosciences, vol. 105, pp. 148-157, 2017.
Tristan van Leeuwen and Felix J. Herrmann, “A penalty method for PDE-constrained optimization in inverse problems”, Inverse Problems, vol. 32, p. 015007, 2015.
Yijun Zhang, Ziyi Yin, Oscar Lopez, Ali Siahkoohi, Mathias Louboutin, Rajiv Kumar, and Felix J. Herrmann, “Optimized time-lapse acquisition design via spectral gap ratio minimization”, Geophysics, vol. 88, pp. A19-A23, 2023.
Wen Tang, Jianwei Ma, and Felix J. Herrmann, “Optimized Compressed Sensing for Curvelet-based Seismic Data Reconstruction”, CiteSeer, 2008.
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.
Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Bas Peters, and Felix J. Herrmann, “InvertibleNetworks.jl: A Julia package for scalable normalizing flows”, Journal of Open Source Software, vol. 9, 2024.

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