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Navjot Kukreja, Jan Hueckelheim, Mathias Louboutin, John Washbourne, Paul H. J. Kelly, and Gerard J. Gorman, “Lossy Checkpoint Compression in Full Waveform Inversion”, Geoscientific Model Development, vol. 15, pp. 3815-3829, 2022.
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.
Oscar Lopez, Rajiv Kumar, and Felix J. Herrmann, “Low-rank matrix recovery for parallel architectures”, SINBAD Fall consortium talks. SINBAD, 2016.
M
Oscar Lopez, Keegan Lensink, Rajiv Kumar, and Henryk Modzelewski, “Matrix Completion in Parallel Architectures: Julia Implementation”, SINBAD Fall consortium talks. SINBAD, 2017.
Oscar Lopez, Keegan Lensink, Rajiv Kumar, and Henryk Modzelewski, “Matrix Completion in Parallel Architectures: Julia Implementation”, SINBAD Fall consortium talks. SINBAD, 2017.
Rajiv Kumar, Oscar Lopez, Ernie Esser, and Felix J. Herrmann, “Matrix completion on unstructured grids : 2-D seismic data regularization and interpolation”, UBC, TR-EOAS-2014-3, 2014.
Rajiv Kumar, Oscar Lopez, Ernie Esser, and Felix J. Herrmann, “Matrix completion on unstructured grids : 2-D seismic data regularization and interpolation”, in EAGE Annual Conference Proceedings, 2015.
Haoyun Li, Ziyi Yin, Olav Møyner, and Felix J. Herrmann, “Maximizing CO2 injectivity within fracture pressure”, ML4SEISMIC Partners Meeting. 2023.
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging”, TR-CSE-2022-2, 2022.
Ning Tu, Tim T.Y. Lin, and Felix J. Herrmann, “Migration with surface-related multiples from incomplete seismic data”, in SEG Technical Program Expanded Abstracts, 2011, vol. 30, pp. 3222-3227.
Rafael Lago and Felix J. Herrmann, “Minimal-residual iterative methods for time-harmonic wave-equation”, SINBAD Fall consortium talks. SINBAD, 2014.
Tim T.Y. Lin and Felix J. Herrmann, “Mitigating data gaps in the estimation of primaries by sparse inversion without data reconstruction”, in SEG Technical Program Expanded Abstracts, 2014, pp. 4157-4161.
Mathias Louboutin, “ML4Seismic open source software environment”, ML4SEISMIC Partners Meeting. 2021.
Mathias Louboutin, Ziyi Yin, Rafael Orozco, Thomas J. Grady II, and Felix J. Herrmann, “ML4Seismic open-source software: updates and developments”, ML4SEISMIC Partners Meeting. 2022.
Felix J. Herrmann, Mathias Louboutin, and Ali Siahkoohi, “ML@scale using randomized linear algebra”, in Microsoft, 2021.
Mathias Louboutin, “Modeling for inversion in exploration geophysics”, Georgia Institute of Technology, Atlanta, 2020.
Thomas J. Grady II, Rishi Khan, Mathias Louboutin, Ziyi Yin, Philipp A. Witte, Ranveer Chandra, Russell J. Hewett, and Felix J. Herrmann, “Model-Parallel Fourier Neural Operators as Learned Surrogates for Large-Scale Parametric PDEs”, Computers & Geosciences, vol. 178, p. 105402, 2023.
Xiang Li, Anais Tamalet, Tristan van Leeuwen, and Felix J. Herrmann, “Model-space versus data-space FWI with the acoustic wave equation”, SINBAD Fall consortium talks. SINBAD, 2013.
Xiang Li, Ernie Esser, and Felix J. Herrmann, “Modified Gauss-Newton full-waveform inversion explained–-why sparsity-promoting updates do matter”, Geophysics, vol. 81, pp. R125-R138, 2016.
Xiang Li, Felix J. Herrmann, Tristan van Leeuwen, and Aleksandr Y. Aravkin, “Modified Gauss-Newton with sparse updates”, in SBGF, 2011.
Felix J. Herrmann, Xiang Li, Aleksandr Y. Aravkin, and Tristan van Leeuwen, “A modified, sparsity promoting, Gauss-Newton algorithm for seismic waveform inversion”, in Proc. SPIE, 2011.
Abhinav Prakash Gahlot, Ting-ying Yu, Rafael Orozco, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “Monitoring subsurface CO2 plumes with learned sequential Bayesian inference”, ML4SEISMIC Partners Meeting. 2023.
Ting-ying Yu, Abhinav Prakash Gahlot, Rafael Orozco, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “Monitoring Subsurface CO2 Plumes with Sequential Bayesian Inference”, in International Meeting for Applied Geoscience and Energy, 2023.
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.

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