Biblio

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Mathias Louboutin and Felix J. Herrmann, Wave-based inversion at scale on GPUs with randomized trace estimation, Geophysical Prospecting, 2023.
Mathias Louboutin, Modeling for inversion in exploration geophysics, Georgia Institute of Technology, Atlanta, 2020.
Mathias Louboutin and Felix J. Herrmann, Abstractions and algorithms for efficient seismic inversion on accelerators, in IMAGE Workshop on What's Next for FWI and its Derived Products, 2022.
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.
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.
Mathias Louboutin, Lluís Guasch, and Felix J. Herrmann, Data normalization strategies for full-waveform inversion, in EAGE Annual Conference Proceedings, 2017.
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.
Mathias Louboutin, Philipp A. Witte, Michael Lange, Navjot Kukreja, Fabio Luporini, Gerard Gorman, and Felix J. Herrmann, Full-Waveform Inversion - Part 2: adjoint modeling, The Leading Edge, vol. 37, pp. 69-72, 2018.
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Felix Oghenekohwo, Rajiv Kumar, Ernie Esser, and Felix J. Herrmann, Using common information in compressive time-lapse full-waveform inversion, in EAGE Annual Conference Proceedings, 2015.
Felix Oghenekohwo, Rajiv Kumar, Ernie Esser, and Felix J. Herrmann, Time-lapse FWI with distributed compressed sensing, in Inaugural Full-Waveform Inversion Workshop, 2015.
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, Amortized Bayesian Full Waveform Inversion and Experimental Design with Normalizing Flows, in International Meeting for Applied Geoscience and Energy, 2023.
Rafael Orozco, Huseyin Tuna Erdinc, Souza, T., Yunlin Zeng, Ziyi Yin, and Felix J. Herrmann, Machine-learning enabled velocity-model building with uncertainty quantification, ML4SEISMIC Partners Meeting. 2024.
Rafael Orozco, Huseyin Tuna Erdinc, Mathias Louboutin, and Felix J. Herrmann, Industry-Scale Uncertainty-Aware Full Waveform Inference with Generative Models, in SIAM Conference on Computational Science and Engineering (CSE25), 2025.
Rafael Orozco, GENERATIVE MODELS FOR UNCERTAINTY QUANTIFICATION OF MEDICAL AND SEISMIC IMAGING, Georgia Institute of Technology, Atlanta, 2024.
Rafael Orozco, Mathias Louboutin, Peng Chen, and Felix J. Herrmann, Uncertainty quantification so what? Leveraging probabilistic seismic inversion for experimental design, ML4SEISMIC Partners Meeting. 2023.
Rafael Orozco, Ziyi Yin, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, Neural wave-based imaging with amortized uncertainty quantification, ICL Seminar. 2024.
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, Fast neural FWI with amortized uncertainty quantification, in International Meeting for Applied Geoscience and Energy, 2023.
Rafael Orozco, Ziyi Yin, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, Neural wave-based imaging with amortized uncertainty quantification, in Inverse Problems: Modelling and Simulation, 2024.

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