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Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “WISER: full-Waveform variational Inference via Subsurface Extensions with Refinements”. 2024.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “WISE: full-Waveform variational Inference via Subsurface Extensions”, Geophysics, 2024.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “WISE: Full-waveform Inference with Subsurface Extensions”, ML4SEISMIC Partners Meeting. 2023.
Mathias Louboutin and Felix J. Herrmann, “Wave-based inversion at scale on GPUs with randomized trace estimation”, Geophysical Prospecting, 2023.
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Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “Velocity continuation with Fourier neural operators for accelerated uncertainty quantification”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
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Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, and Felix J. Herrmann, “Unsupervised data-guided uncertainty analysis in imaging and horizon tracking”, in SIAM Texas-Louisiana, 2020.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, and Felix J. Herrmann, “Uncertainty-aware time-lapse monitoring of geological carbon storage with learned surrogates”, in Engineering Mechanics Institute Conference, 2023.
Ziyi Yin, Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “Uncertainty-aware time-lapse CO$_2$ monitoring with learned end-to-end inversion”, ML4SEISMIC Partners Meeting. 2022.
Abhinav Prakash Gahlot, Rafael Orozco, Haoyun Li, Grant Bruer, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “An Uncertainty-Aware Digital Twin for Geological Carbon Storage”, in SIAM Conference on Uncertainty Quantification, 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.
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.
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Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “Towards generative seismic kriging with normalizing flows”, ML4SEISMIC Partners Meeting. 2023.
Yijun Zhang, Mathias Louboutin, Ali Siahkoohi, Ziyi Yin, Rajiv Kumar, Oscar Lopez, and Felix J. Herrmann, “Time-lapse seismic survey design by maximizing the spectral gap”, ML4SEISMIC Partners Meeting. 2022.
Abhinav Prakash Gahlot, Mathias Louboutin, Ziyi Yin, and Felix J. Herrmann, “Time-lapse seismic monitoring of geological carbon storage with the nonlinear joint recovery model”, ML4SEISMIC Partners Meeting. 2023.
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.
Ziyi Yin, Mathias Louboutin, Olav Møyner, and Felix J. Herrmann, “Time-lapse full-waveform permeability inversion: a feasibility study”. 2024.
Mathias Louboutin, Gabrio Rizzuti, and Felix J. Herrmann, “Time-Domain Wavefield Reconstruction Inversion In Tilted Transverse Isostropic Media”, in SIAM Texas-Louisiana, 2020.
Mathias Louboutin, Gabrio Rizzuti, and Felix J. Herrmann, “Time-domain Wavefield Reconstruction Inversion in a TTI medium”, Georgia Institute of Technology, TR-CSE-2020-1, 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.
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.
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.
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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.

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