Biblio

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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.
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.
Yuxiao Ren, Philipp A. Witte, Ali Siahkoohi, Mathias Louboutin, Ziyi Yin, and Felix J. Herrmann, Seismic Velocity Inversion and Uncertainty Quantification Using Conditional Normalizing Flows, in AGU Annual Meeting, 2021, p. U12A-03.
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.
Philipp A. Witte, Ning Tu, Ernie Esser, Mengmeng Yang, Mathias Louboutin, and Felix J. Herrmann, Sparsity-promoting least-square migration with linearized Bregman and compressive sensing, in Inaugural Full-Waveform Inversion Workshop, 2015.
Philipp A. Witte, Mengmeng Yang, and Felix J. Herrmann, Sparsity-promoting least-squares migration with the linearized inverse scattering imaging condition, in EAGE Annual Conference Proceedings, 2017.