Biblio

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2020
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.
Mathias Louboutin, Modeling for inversion in exploration geophysics, Georgia Institute of Technology, Atlanta, 2020.
Mathias Louboutin, Fabio Luporini, Philipp A. Witte, Rhodri Nelson, George Bisbas, Thorbecke, J., Felix J. Herrmann, and Gerard Gorman, Scaling through abstractions – high-performance vectorial wave simulations for seismic inversion with Devito, Georgia Institute of Technology, TR-CSE-2020-3, 2020.
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.
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.
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.
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.
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.
Mathias Louboutin, Gabrio Rizzuti, and Felix J. Herrmann, Time-Domain Wavefield Reconstruction Inversion In Tilted Transverse Isostropic Media, in SIAM Texas-Louisiana, 2020.
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.
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, ML4SEISMIC Partners Meeting. 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.
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.

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