Biblio

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2020
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification, in EAGE Annual Conference Proceedings, 2020.
Gabrio Rizzuti, Ali Siahkoohi, Philipp A. Witte, and Felix J. Herrmann, Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization, in SEG Technical Program Expanded Abstracts, 2020, pp. 1541-1545.
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.
Mi Zhang, Ali Siahkoohi, and Felix J. Herrmann, Transfer learning in large-scale ocean bottom seismic wavefield reconstruction, in SEG Technical Program Expanded Abstracts, 2020, pp. 1666-1670.
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.
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, and Felix J. Herrmann, Unsupervised data-guided uncertainty analysis in imaging and horizon tracking, in SIAM Texas-Louisiana, 2020.
Yijun Zhang, Shashin Sharan, Oscar Lopez, and Felix J. Herrmann, Wavefield recovery with limited-subspace weighted matrix factorizations, in SEG Technical Program Expanded Abstracts, 2020, pp. 2858-2862.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, Weak deep priors for seismic imaging, in SEG Technical Program Expanded Abstracts, 2020, pp. 2998-3002.
2019
Felix J. Herrmann, Charles Jones, Gerard Gorman, Jan Hückelheim, Keegan Lensink, Paul H. J. Kelly, Navjot Kukreja, Henryk Modzelewski, Michael Lange, Mathias Louboutin, Fabio Luporini, James Selvages, and Philipp A. Witte, Accelerating ideation and innovation cheaply in the Cloud the power of abstraction, collaboration and reproducibility, in 4th EAGE Workshop on High-performance Computing, 2019.
Ali Siahkoohi, Rajiv Kumar, and Felix J. Herrmann, Deep-learning based ocean bottom seismic wavefield recovery, in SEG Technical Program Expanded Abstracts, 2019, pp. 2232-2237.
Philipp A. Witte, Mathias Louboutin, Henryk Modzelewski, Charles Jones, James Selvage, and Felix J. Herrmann, Event-driven workflows for large-scale seismic imaging in the cloud, in SEG Technical Program Expanded Abstracts, 2019, pp. 3984-3988.
Yijun Zhang, Shashin Sharan, and Felix J. Herrmann, High-frequency wavefield recovery with weighted matrix factorizations, in SEG Technical Program Expanded Abstracts, 2019, pp. 3959-3963.
Felix J. Herrmann, Ali Siahkoohi, and Gabrio Rizzuti, Learned imaging with constraints and uncertainty quantification, in Neural Information Processing Systems (NeurIPS), 2019.
Gabrio Rizzuti, Ali Siahkoohi, and Felix J. Herrmann, Learned iterative solvers for the Helmholtz equation, in EAGE Annual Conference Proceedings, 2019.
Ali Siahkoohi, Dirk J. Verschuur, and Felix J. Herrmann, Surface-related multiple elimination with deep learning, in SEG Technical Program Expanded Abstracts, 2019, pp. 4629-4634.
2016
Felix J. Herrmann, Rajiv Kumar, Felix Oghenekohwo, Shashin Sharan, and Haneet Wason, Compressive time-lapse marine acquisition, in SEG Workshop on Low cost geophysics: How to be creative in a cost-challenged environment; Dallas, 2016.
Philipp A. Witte, Christiaan C. Stolk, and Felix J. Herrmann, Phase velocity error minimizing scheme for the anisotropic pure P-wave equation, in SEG Technical Program Expanded Abstracts, 2016, pp. 452-457.

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