Biblio

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2021
Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, Compressive time-lapse seismic monitoring of carbon storage and sequestration with the joint recovery model, in SEG Technical Program Expanded Abstracts, 2021, pp. 3434-3438.
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, and Felix J. Herrmann, Deep Bayesian Inference for Task-based Seismic Imaging, in KAUST, 2021.
Gabrio Rizzuti, Mathias Louboutin, Rongrong Wang, and Felix J. Herrmann, A dual formulation of wavefield reconstruction inversion for large-scale seismic inversion, Geophysics, vol. 86, p. 1ND-Z3, 2021.
Gabrio Rizzuti, Mathias Louboutin, Rongrong Wang, and Felix J. Herrmann, A dual formulation of wavefield reconstruction inversion for large-scale seismic inversion, ML4SEISMIC Partners Meeting. 2021.
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.
Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, Improved seismic monitoring of CO2 sequestration with the weighted joint recovery model, ML4SEISMIC Partners Meeting. 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.
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.
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.
Mathias Louboutin, Ali Siahkoohi, Rongrong Wang, and Felix J. Herrmann, Low-memory stochastic backpropagation with multi-channel randomized trace estimation, TR-CSE-2021-1, 2021.
Mathias Louboutin, ML4Seismic open source software environment, ML4SEISMIC Partners Meeting. 2021.
Felix J. Herrmann, Mathias Louboutin, and Ali Siahkoohi, ML@scale using randomized linear algebra, in Microsoft, 2021.
Ali Siahkoohi, Rafael Orozco, Gabrio Rizzuti, Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, Multifidelity conditional normalizing flows for physics-guided Bayesian inference, ML4SEISMIC Partners Meeting. 2021.
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.
Mathias Louboutin and Felix J. Herrmann, Randomized linear algebra for inversion, ML4SEISMIC Partners Meeting. 2021.
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.
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.
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.
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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