Biblio

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Conference
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.
Navjot Kukreja, Mathias Louboutin, Michael Lange, Fabio Luporini, and Gerard Gorman, Leveraging symbolic math for rapid development of applications for seismic modeling, in OGHPC, 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.
Mathias Louboutin, Rafael Orozco, Ali Siahkoohi, and Felix J. Herrmann, Learned non-linear simultenous source and corresponding supershot for seismic imaging., in International Meeting for Applied Geoscience and Energy, 2023.
Ziyi Yin, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
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.
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.
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, Generative Seismic Kriging with Normalizing Flows, in International Meeting for Applied Geoscience and Energy, 2023.
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, Fast neural FWI with amortized uncertainty quantification, in International Meeting for Applied Geoscience and Energy, 2023.
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.
Mathias Louboutin and Felix J. Herrmann, Extending the search space of time-domain adjoint-state FWI with randomized implicit time shifts, in EAGE Annual Conference Proceedings, 2017.
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.
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.
Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Mathias Louboutin, and Felix J. Herrmann, Enhancing CO2 Leakage Detectability via Dataset Augmentation, in International Meeting for Applied Geoscience and Energy, 2023.
Mathias Louboutin and Felix J. Herrmann, Enabling wave-based inversion on GPUs with randomized trace estimation, in EAGE Annual Conference Proceedings, 2022, p. Seismic Wave Modelling and Least Square Migration 2 session.
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.
Gabrio Rizzuti, Mathias Louboutin, Rongrong Wang, Emmanouil Daskalakis, and Felix J. Herrmann, A dual formulation for time-domain wavefield reconstruction inversion, in SIAM Conference on Mathematical and Computational Issues in the Geosciences, 2019.
Gabrio Rizzuti, Mathias Louboutin, Rongrong Wang, Emmanouil Daskalakis, and Felix J. Herrmann, A dual formulation for time-domain wavefield reconstruction inversion, in SEG Technical Program Expanded Abstracts, 2019, pp. 1480-1485.
Michael Lange, Navjot Kukreja, Mathias Louboutin, Fabio Luporini, Felippe Vieira Zacarias, Vincenzo Pandolfo, Paulius Velesko, Paulius Kazakas, and Gerard Gorman, Devito: Towards a generic finite difference DSL using symbolic python, in 6th Workshop on Python for High-Performance and Scientific Computing, 2016, pp. 67-75.
Navjot Kukreja, Michael Lange, Mathias Louboutin, Fabio Luporini, and Gerard Gorman, Devito: symbolic math for automated fast finite difference computations, in SIAM Conference on Computational Science and Engineering, 2017.
Marcos de Aguiar, Gerard Gorman, Felix J. Herrmann, Navjot Kukreja, Michael Lange, Mathias Louboutin, and Felippe Vieira Zacarias, DeVito: fast finite difference computation, in Super Computing (SC16), 2016.
Navjot Kukreja, Mathias Louboutin, Felippe Vieira Zacarias, Fabio Luporini, Michael Lange, and Gerard Gorman, Devito: automated fast finite difference computation, in WOLFHPC 2016 Workshop (Super Computing), 2016.
Felix J. Herrmann, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin, and Mathias Louboutin, Derisking geological storage with simulation-based seismic monitoring design and machine learning, in Carbon, Capture, Utilization, and Storage, 2023.
Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, De-risking Carbon Capture and Sequestration with Explainable CO$_2$ Leakage Detection in Time-lapse Seismic Monitoring Images, in AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges, 2022.
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.

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