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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.
Shashin Sharan, Rongrong Wang, and Felix J. Herrmann, “Fast sparsity-promoting microseismic source estimation”, Geophysical Journal International, vol. 216, pp. 164-181, 2019.
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.
Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “The importance of transfer learning in seismic modeling and imaging”, Geophysics, 2019.
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, Ali Siahkoohi, and Gabrio Rizzuti, “Learned imaging with constraints and uncertainty quantification”, HotCSE Seminar. 2019.
Gabrio Rizzuti, Ali Siahkoohi, and Felix J. Herrmann, “Learned iterative solvers for the Helmholtz equation”, in EAGE Annual Conference Proceedings, 2019.
Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “Neural network augmented wave-equation simulation”, Georgia Institute of Technology, TR-CSE-2019-1, 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.
2018
Rajiv Kumar, Shashin Sharan, Nick Moldoveanu, and Felix J. Herrmann, “Compressed sensing based land simultaneous acquisition using encoded sweeps”, in EAGE Annual Conference Proceedings, 2018.
Shashin Sharan, Rajiv Kumar, Rongrong Wang, and Felix J. Herrmann, “A debiasing approach to microseismic”, in SEG Technical Program Expanded Abstracts, 2018, pp. 2942-2946.
Ali Siahkoohi, Mathias Louboutin, Rajiv Kumar, and Felix J. Herrmann, “Deep Convolutional Neural Networks in prestack seismic–-two exploratory examples”, in SEG Technical Program Expanded Abstracts, 2018, pp. 2196-2200.
Felix J. Herrmann, Gerard J. Gorman, Jan Hückelheim, Keegan Lensink, Paul H. J. Kelly, Navjot Kukreja, Henryk Modzelewski, Michael Lange, Mathias Louboutin, Fabio Luporini, Ali Siahkoohi, and Philipp A. Witte, “The power of abstraction in Computational Exploration Seismology”, in Smoky Mountains Computational Sciences and Engineering Conference, 2018.
Bas Peters, Brendan R. Smithyman, and Felix J. Herrmann, “Projection methods and applications for seismic nonlinear inverse problems with multiple constraints”, Geophysics, vol. 84, pp. R251-R269, 2018.
Ali Siahkoohi, Rajiv Kumar, and Felix J. Herrmann, “Seismic data reconstruction with Generative Adversarial Networks”, in EAGE Annual Conference Proceedings, 2018.
Shashin Sharan, Rajiv Kumar, Diego S. Dumani, Mathias Louboutin, Rongrong Wang, Stanislav Emelianov, and Felix J. Herrmann, “Sparsity-promoting photoacoustic imaging with source estimation”, in 2018 IEEE International Ultrasonics Symposium (IUS), 2018, pp. 206-212.

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