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Felix J. Herrmann, “Meet our digital twin for geological carbon storage”, ML4SEISMIC Partners Meeting. 2022.
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging”, TR-CSE-2022-2, 2022.
Peyman P. Moghaddam, Felix J. Herrmann, and Christiaan C. Stolk, “Migration amplitude recovery using curvelets”, in CSEG Annual Conference Proceedings, 2007.
Ning Tu, “Migration from surface-related multiples”, SINBAD Fall consortium talks. SINBAD, 2011.
Peyman P. Moghaddam and Felix J. Herrmann, “Migration preconditioning with curvelets”, in SEG Technical Program Expanded Abstracts, 2004, vol. 23, pp. 2204-2207.
Yogi A. Erlangga and Felix J. Herrmann, “Migration with implicit solvers for the time-harmonic Helmholtz equation”, in EAGE Annual Conference Proceedings, 2009.
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.
Tristan van Leeuwen and Felix J. Herrmann, “Mitigating local minima in full-waveform inversion by expanding the search space”, Geophysical Journal International, vol. 195, pp. 661-667, 2013.
Felix J. Herrmann, “Mitigating local minima in full-waveform inversion by expanding the search space with the penalty method”, SINBAD Spring consortium talks. SINBAD, 2013.
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.
Can Evren Yarman, Rajiv Kumar, and James Rickett, “A model based data driven dictionary learning for seismic data representation”, Geophysical Prospecting, 2017.
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.
Ting-ying Yu, Rafael Orozco, Ziyi Yin, and Felix J. Herrmann, “Monitoring with sequential Bayesian inference”, ML4SEISMIC Partners Meeting. 2022.
Rajiv Kumar, Marie Graff-Kray, Ivan Vasconcelos, and Felix J. Herrmann, “Multi-domain target-oriented imaging using extreme-scale matrix factorization”, SINBAD Fall consortium talks. SINBAD, 2017.

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