Biblio

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Conference
Yijun Zhang, Ziyi Yin, Oscar Lopez, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, 3D seismic survey design by maximizing the spectral gap, in International Meeting for Applied Geoscience and Energy, 2023.
Mathias Louboutin, Ali Siahkoohi, Ziyi Yin, Rafael Orozco, Thomas J. Grady II, Yijun Zhang, Philipp A. Witte, Gabrio Rizzuti, and Felix J. Herrmann, Abstractions for at-scale seismic inversion, in Rice Oil and Gas High Performance Computing Conference 2022, 2022, p. Thursday Workshop: Devito Training and Hackathon.
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.
Mathias Louboutin, Philipp A. Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, and Felix J. Herrmann, Accelerating innovation with software abstractions for scalable computational geophysics, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
Michael P. Friedlander and M. A. Saunders, Active-set methods for basis pursuit, in WCOM, 2008.
Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, and Felix J. Herrmann, Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification, in SPIE Medical Imaging Conference, 2023.
Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, and Felix J. Herrmann, Amortized normalizing flows for transcranial ultrasound with uncertainty quantification, in Medical Imaging with Deep Learning, 2023.
Felix J. Herrmann, Gang Tang, Reza Shahidi, Gilles Hennenfent, and Tim T.Y. Lin, Beating Nyquist by randomized sampling, in EAGE Annual Conference Proceedings, 2009.
Ali Siahkoohi, Thomas J. Grady II, Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, and Felix J. Herrmann, Capturing velocity-model uncertainty and two-phase flow with Fourier Neural Operators, in EAGE Annual Conference Proceedings, 2022, p. AI in Geoscience and Geophysics: Current Trends and Future Prospects (Dedicated Session).
M. O. Frijlink, Reza Shahidi, Felix J. Herrmann, and R. G. van Borselen, Comparison of standard adaptive subtraction and primary-multiple separation in the curvelet domain, in EAGE Annual Conference Proceedings, 2010.
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.
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.
Brendan R. Smithyman, Bas Peters, and Felix J. Herrmann, Constrained waveform inversion of colocated VSP and surface seismic data, in EAGE Annual Conference Proceedings, 2015.
Rayan Saab, Deli Wang, Ozgur Yilmaz, and Felix J. Herrmann, Curvelet-based primary-multiple separation from a Bayesian perspective, in SEG Technical Program Expanded Abstracts, 2007, vol. 26, pp. 2510-2514.
Rayan Saab, Curvelet-based primary-multiple separation from a Bayesian perspective, in SINBAD 2008, 2008.
Reza Shahidi and Felix J. Herrmann, Curvelet-domain matched filtering with frequency-domain regularization, in SEG Technical Program Expanded Abstracts, 2009, vol. 28, pp. 3645-3649.
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, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, and Felix J. Herrmann, Deep Bayesian Inference for Task-based Seismic Imaging, in KAUST, 2021.
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.
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.
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.
Rajiv Kumar, Maria Kotsi, Ali Siahkoohi, and Alison Malcolm, Enabling uncertainty quantification for seismic data pre-processing using normalizing flows (NF)—an interpolation example, in SEG Technical Program Expanded Abstracts, 2021, pp. 1515-1519.
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.
Ali Siahkoohi, Rafael Orozco, Gabrio Rizzuti, Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, Fast and reliability-aware seismic imaging with conditional normalizing flows, in Intelligent illumination of the Earth, 2021.
Andrew J. Calvert, Ian Hanlon, Mostafa Javanmehri, Rajiv Kumar, Tristan van Leeuwen, Xiang Li, Brendan R. Smithyman, Eric Takam Takougang, Haneet Wason, and Felix J. Herrmann, FWI from the West Coasts: lessons learned from "Gulf of Mexico Imaging Challenges: What Can Full Waveform Inversion Achieve?", in SEG Workshop on FWI; Las Vegas, 2012.

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