Biblio

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Conference
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.
Philipp A. Witte, Mathias Louboutin, Fabio Luporini, Gerard J. Gorman, and Felix J. Herrmann, Compressive least squares migration with on-the-fly Fourier transforms, in SIAM Conference on Computational Science and Engineering, 2019.
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, and Felix J. Herrmann, Deep Bayesian Inference for Task-based Seismic Imaging, in KAUST, 2021.
Mathias Louboutin, Philipp A. Witte, and Felix J. Herrmann, Effects of wrong adjoints for RTM in TTI media, in SEG Technical Program Expanded Abstracts, 2018, pp. 331-335.
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.
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, 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.
Philipp A. Witte, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Bas Peters, and Felix J. Herrmann, InvertibleNetworks.jl - Memory efficient deep learning in Julia, in JuliaCon, 2021.
Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, Large-scale workflows for wave-equation based inversion in Julia, in SIAM Conference on Computational Science and Engineering, 2017.
Felix J. Herrmann, Ali Siahkoohi, Rafael Orozco, Gabrio Rizzuti, Philipp A. Witte, and Mathias Louboutin, Learned wave-based imaging - variational inference at scale, in Delft, 2021.
Xintao Chai, Mengmeng Yang, Philipp A. Witte, Rongrong Wang, Zhilong Fang, and Felix J. Herrmann, A linearized Bregman method for compressive waveform inversion, in SEG Technical Program Expanded Abstracts, 2016, pp. 1449-1454.
Felix J. Herrmann, Mathias Louboutin, Ziyi Yin, and Philipp A. Witte, Low-cost time-lapse seismic imaging of CCS with the joint recovery model, in SEG Workshop on Geophysical Challenges in Presalt Carbonates; virtual, 2021.
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.
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.
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.
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, and Felix J. Herrmann, Preconditioned training of normalizing flows for variational inference in inverse problems, in 3rd Symposium on Advances in Approximate Bayesian Inference, 2021.
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, 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.
Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, Time-domain FWI in TTI media, in Inaugural Full-Waveform Inversion Workshop, 2015.
Mengmeng Yang, Philipp A. Witte, Zhilong Fang, and Felix J. Herrmann, Time-domain sparsity-promoting least-squares migration with source estimation, in SEG Technical Program Expanded Abstracts, 2016, pp. 4225-4229.

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