Biblio

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Author Title Type [ Year(Desc)]
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.
Mengmeng Yang, Marie Graff, Rajiv Kumar, and Felix J. Herrmann, Low-rank representation of subsurface extended image volumes with power iterations, in SEG Technical Program Expanded Abstracts, 2019, pp. 4470-4474.
Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, Neural network augmented wave-equation simulation, Georgia Institute of Technology, TR-CSE-2019-1, 2019.
Bas Peters and Felix J. Herrmann, A numerical solver for least-squares sub-problems in 3D wavefield reconstruction inversion and related problem formulations, in SEG Technical Program Expanded Abstracts, 2019, pp. 1536-1540.
Felix J. Herrmann, Sometimes it pays to be cheap – Compressive time-lapse seismic data acquisition, SEG Distinguished Lecture. Society of Exploration Geophysicists, 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.
Rajiv Kumar, Marie Graff-Kray, Ivan Vasconcelos, and Felix J. Herrmann, Target-oriented imaging using extended image volumes—a low-rank factorization approach, Geophysical Prospecting, vol. 67, pp. 1312-1328, 2019.
Curt Da Silva and Felix J. Herrmann, A unified 2D/3D large scale software environment for nonlinear inverse problems, ACM Transactions on Mathematical Software, 2019.
2020
Emmanouil Daskalakis, Felix J. Herrmann, and Rachel Kuske, Accelerating Sparse Recovery by Reducing Chatter, SIAM Journal on Imaging Sciences, vol. 13, pp. 1211–1239, 2020.
Fabio Luporini, Mathias Louboutin, Michael Lange, Navjot Kukreja, Philipp A. Witte, Jan Hückelheim, Charles Yount, Paul H. J. Kelly, Felix J. Herrmann, and Gerard J. Gorman, Architecture and performance of Devito, a system for automated stencil computation, ACM Trans. Math. Softw., vol. 46, 2020.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification, GT SEG Student Chapter. 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.
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.
Ziyi Yin, Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Gabrio Rizzuti, and Felix J. Herrmann, Extended source imaging –- a unifying framework for seismic and medical imaging, in SEG Technical Program Expanded Abstracts, 2020, pp. 3502-3506.
Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, and Felix J. Herrmann, Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows, Georgia Institute of Technology, TR-CSE-2020-2, 2020.
Shashin Sharan, Large scale high-frequency seismic wavefield reconstruction, acquisition via rank minimization and sparsity-promoting source estimation, Georgia Institute of Technology, Atlanta, 2020.
Shashin Sharan, Yijun Zhang, Oscar Lopez, and Felix J. Herrmann, Large scale high-frequency wavefield reconstruction with recursively weighted matrix factorizations, TR-CSE-2020-4, 2020.
Mathias Louboutin, Modeling for inversion in exploration geophysics, Georgia Institute of Technology, Atlanta, 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.
Mathias Louboutin, Fabio Luporini, Philipp A. Witte, Rhodri Nelson, George Bisbas, Thorbecke, J., Felix J. Herrmann, and Gerard Gorman, Scaling through abstractions – high-performance vectorial wave simulations for seismic inversion with Devito, Georgia Institute of Technology, TR-CSE-2020-3, 2020.
Mengmeng Yang, Seismic imaging with extended image volumes and source estimation, Georgia Institute of Technology, Atlanta, 2020.
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.
Philipp A. Witte, Mathias Louboutin, Charles Jones, and Felix J. Herrmann, Serverless seismic imaging in the cloud, in Rice Oil and Gas High Performance Computing Conference 2020, 2020.
Philipp A. Witte, Software and algorithms for large-scale seismic inverse problems, Georgia Institute of Technology, Atlanta, 2020.

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