Biblio

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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.
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging, TR-CSE-2022-2, 2022.
Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, Neural network augmented wave-equation simulation, Georgia Institute of Technology, TR-CSE-2019-1, 2019.
Mathias Louboutin, Gerard Gorman, and Felix J. Herrmann, Optimizing the computational performance and maintainability of time-domain modelling–-leveraging multiple right-hand-sides, UBC, TR-EOAS-2016-2, 2016.
Mathias Louboutin, Gerard Gorman, and Felix J. Herrmann, Optimizing the computational performance of time-domain modelling–-leveraging multiple right-hand-sides, UBC, TR-EOAS-2017-2, 2017.
Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, Overview on anisotropic modeling and inversion, UBC, TR-EOAS-2015-6, 2015.
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.
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.
Thesis
Mathias Louboutin, Modeling for inversion in exploration geophysics, Georgia Institute of Technology, Atlanta, 2020.

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