Biblio

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Conference
Mathias Louboutin and Felix J. Herrmann, Ultra-low memory seismic inversion with randomized trace estimation, in SEG Technical Program Expanded Abstracts, 2021, pp. 787-791.
Abhinav Prakash Gahlot, Mathias Louboutin, and Felix J. Herrmann, Time-lapse seismic monitoring of geological carbon storage with the nonlinear joint recovery model, in International Meeting for Applied Geoscience and Energy, 2023.
Mathias Louboutin, Gabrio Rizzuti, and Felix J. Herrmann, Time-Domain Wavefield Reconstruction Inversion In Tilted Transverse Isostropic Media, in SIAM Texas-Louisiana, 2020.
Gabrio Rizzuti, Mathias Louboutin, Rongrong Wang, and Felix J. Herrmann, Time-domain wavefield reconstruction inversion for large-scale seismics, in EAGE Annual Conference Proceedings, 2020.
Gabrio Rizzuti, Mathias Louboutin, Rongrong Wang, and Felix J. Herrmann, Time-domain Wavefield Reconstruction Inversion for large-scale seismic inversion, in SIAM Conference on Mathematical and Computational Issues in the Geosciences, 2021.
Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, Time-domain FWI in TTI media, in Inaugural Full-Waveform Inversion Workshop, 2015.
Mathias Louboutin and Felix J. Herrmann, Time compressively sampled full-waveform inversion with stochastic optimization, in SEG Technical Program Expanded Abstracts, 2015, pp. 5153-5157.
George Bisbas, Fabio Luporini, Mathias Louboutin, Rhodri Nelson, Gerard Gorman, and Paul H. J. Kelly, Temporal blocking of finite-difference stencil operators with sparse "off-the-grid" sources, in IEEE International Parallel and Distributed Processing Symposium, 2021.
Shashin Sharan, Rajiv Kumar, Diego S. Dumani, Mathias Louboutin, Rongrong Wang, Stanislav Emelianov, and Felix J. Herrmann, Sparsity-promoting photoacoustic imaging with source estimation, in 2018 IEEE International Ultrasonics Symposium (IUS), 2018, pp. 206-212.
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.
Mathias Louboutin, Ziyi Yin, Yijun Zhang, and Felix J. Herrmann, Sparsity promoting least-squares migration for long offset sparse OBN, in SEG Workshop on Promises and Challenges with Sparse Node Ultra-long Offset OBN Acquisition in Imaging and Earth Model Building; virtual, 2020.
Yijun Zhang, Mathias Louboutin, Ali Siahkoohi, Ziyi Yin, Rajiv Kumar, and Felix J. Herrmann, A simulation-free seismic survey design by maximizing the spectral gap, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
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.
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.
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.
Mathias Louboutin, Bas Peters, Brendan R. Smithyman, and Felix J. Herrmann, Regularizing waveform inversion by projections onto convex sets, in Inaugural Full-Waveform Inversion Workshop, 2015.
Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics, in 5th Symposium on Advances in Approximate Bayesian Inference, 2023.
Mathias Louboutin, Michael Lange, Navjot Kukreja, Fabio Luporini, Felix J. Herrmann, and Gerard Gorman, Raising the abstraction to separate concerns: enabling different physics for geophysical exploration, in SIAM Conference on Computational Science and Engineering, 2017.
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.
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.
Michael Lange, Navjot Kukreja, Fabio Luporini, Mathias Louboutin, Charles Yount, Jan Hückelheim, and Gerard Gorman, Optimised finite difference computation from symbolic equations, in Python in Science Conference Proceedings, 2017, pp. 89-96.
Rafael Orozco, Abhinav Prakash Gahlot, Peng Chen, Mathias Louboutin, and Felix J. Herrmann, Normalizing Flows for Bayesian Experimental Design in Imaging Applications, in SIAM Conference on Uncertainty Quantification, 2024.
Felix J. Herrmann, Mathias Louboutin, Thomas J. Grady II, Ziyi Yin, and Rishi Khan, The Next Step: Interoperable Domain-Specific Programming, in SIAM Conference on Computational Science and Engineering, 2023.
Ting-ying Yu, Abhinav Prakash Gahlot, Rafael Orozco, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, Monitoring Subsurface CO2 Plumes with Sequential Bayesian Inference, in International Meeting for Applied Geoscience and Energy, 2023.
Felix J. Herrmann, Mathias Louboutin, and Ali Siahkoohi, ML@scale using randomized linear algebra, in Microsoft, 2021.

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