Biblio

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Author Title [ Type(Desc)] Year
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Conference
Ali Siahkoohi, Philipp A. Witte, Mathias Louboutin, Felix J. Herrmann, and Gabrio Rizzuti, Seismic Imaging with Uncertainty Quantification: Sampling from the Posterior with Generative Networks, in SIAM Conference on Imaging Science, 2020.
Aleksandr Y. Aravkin, Tristan van Leeuwen, and Ning Tu, Sparse seismic imaging using variable projection, in ICASSP, 2013.
Xiang Li and Felix J. Herrmann, Sparsity-promoting migration accelerated by message passing, in SEG Technical Program Expanded Abstracts, 2012, vol. 31, pp. 1-6.
Ning Tu, Tim T.Y. Lin, and Felix J. Herrmann, Sparsity-promoting migration with surface-related multiples, in EAGE Annual Conference Proceedings, 2011.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, Uncertainty quantification in imaging and automatic horizon tracking—a Bayesian deep-prior based approach, in SEG Technical Program Expanded Abstracts, 2020, pp. 1636-1640.
Abhinav Prakash Gahlot, Rafael Orozco, Haoyun Li, Grant Bruer, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, An Uncertainty-Aware Digital Twin for Geological Carbon Storage, in SIAM Conference on Uncertainty Quantification, 2024.
Richard Rex, Ziyi Yin, and Felix J. Herrmann, Velocity Continuation for Common Image Gathers with Fourier Neural Operators, in International Meeting for Applied Geoscience and Energy, 2024.
Bas Peters, Felix J. Herrmann, and Tristan van Leeuwen, Wave-equation based inversion with the penalty method: adjoint-state versus wavefield-reconstruction inversion, in EAGE Annual Conference Proceedings, 2014.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, WISER: full-Waveform variational Inference via Subsurface Extensions with Refinements, in International Meeting for Applied Geoscience and Energy, 2024.
Journal Article
Felix J. Herrmann, Cody R. Brown, Yogi A. Erlangga, and Peyman P. Moghaddam, Curvelet-based migration preconditioning and scaling, Geophysics, vol. 74, pp. A41-A46, 2009.
Felix J. Herrmann, Digital twins in the era of generative AI, The Leading Edge, vol. 42, 2023.
Felix J. Herrmann and Xiang Li, Efficient least-squares imaging with sparsity promotion and compressive sensing, Geophysical Prospecting, vol. 60, pp. 696-712, 2012.
Philipp A. Witte, Mathias Louboutin, Henryk Modzelewski, Charles Jones, James Selvage, and Felix J. Herrmann, An Event-Driven Approach to Serverless Seismic Imaging in the Cloud, IEEE Transactions on Parallel and Distributed Systems, vol. 31, pp. 2032-2049, 2020.
Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, The importance of transfer learning in seismic modeling and imaging, Geophysics, 2019.
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.
Felix J. Herrmann, Peyman P. Moghaddam, and Christiaan C. Stolk, Sparsity- and continuity-promoting seismic image recovery with curvelet frames, Applied and Computational Harmonic Analysis, vol. 24, pp. 150-173, 2008.
Hamideh Sanavi, Peyman P. Moghaddam, and Felix J. Herrmann, True amplitude depth migration using curvelets, Geophysics, vol. 86, pp. S299-S310, 2021.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, WISE: full-Waveform variational Inference via Subsurface Extensions, Geophysics, 2024.

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