Biblio

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Ning Tu, Tim T.Y. Lin, and Felix J. Herrmann, Sparsity-promoting migration with surface-related multiples, in EAGE Annual Conference Proceedings, 2011.
Xiang Li and Felix J. Herrmann, Sparsity-promoting migration accelerated by message passing, in SEG Technical Program Expanded Abstracts, 2012, vol. 31, pp. 1-6.
Felix J. Herrmann, Peyman P. Moghaddam, and Christiaan C. Stolk, Sparsity- and continuity-promoting seismic image recovery with curvelet frames, Applied and Computational Harmonic Analysis, vol. 24, pp. 150-173, 2008.
Aleksandr Y. Aravkin, Tristan van Leeuwen, and Ning Tu, Sparse seismic imaging using variable projection, in ICASSP, 2013.
Philipp A. Witte, Software and algorithms for large-scale seismic inverse problems, Georgia Institute of Technology, Atlanta, 2020.
Ziyi Yin, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Mathias Louboutin, and Felix J. Herrmann, Simulation-based framework for geological carbon storage monitoring, ML4SEISMIC Partners Meeting. 2022.
I. Bhar, Abhinav Prakash Gahlot, and Felix J. Herrmann, Sensitivity of Horizontal shear waves on Geological Carbon Storage, ML4SEISMIC Partners Meeting. 2024.
Grant Bruer, Abhinav Prakash Gahlot, Herrmann, F., and Edmond Chow, Seismic monitoring of CO2 using ensemble Kalman filtering, 2025 Georgia Scientific Computing Symposium. 2025.
Grant Bruer, Abhinav Prakash Gahlot, Edmond Chow, and Felix J. Herrmann, Seismic monitoring of CO2 plume dynamics using ensemble Kalman filtering, ML4SEISMIC Partners Meeting. 2024.
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.
Huseyin Tuna Erdinc, Rafael Orozco, and Felix J. Herrmann, SAGE – Subsurface foundational model with AI-driven Geostatical Extraction, ML4SEISMIC Partners Meeting. 2024.
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Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, and Felix J. Herrmann, Reliable amortized variational inference with conditional normalizing flows via physics-based latent distribution correction, in IMAGE Workshop on Subsurface Uncertainty Description and Estimation - Moving Away from Single Prediction with Distribution Learning, 2022.
Felix J. Herrmann, Randomized algorithms in seismic imaging, in Inaugural Full-Waveform Inversion Workshop, 2015.
Felix J. Herrmann, Randomized algorithms in exploration seismology, in ASEG Annual Conference Proceedings, 2015.

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