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Felix J. Herrmann, “Randomized algorithms in exploration seismology”, in ASEG Annual Conference Proceedings, 2015.
Felix J. Herrmann, “Randomized algorithms in seismic imaging”, in Inaugural Full-Waveform Inversion Workshop, 2015.
Felix J. Herrmann, “Imaging/Inversion with irregular/random sampled spatial arrays”, in SEG-AGU Workshop on Advances in Active + Passive "Full Wavefield" Seismic Imaging: From Reservoirs to Plate Tectonics, 2014.
Felix J. Herrmann, “Accelerated large-scale inversion with message passing”, in SEG Technical Program Expanded Abstracts, 2012, vol. 31, pp. 1-6.
Felix J. Herrmann and Xiang Li, “Efficient least-squares migration with sparsity promotion”, in EAGE Annual Conference Proceedings, 2011.
Felix J. Herrmann, Cody R. Brown, Yogi A. Erlangga, and Peyman P. Moghaddam, “Curvelet-based migration preconditioning and scaling”, Geophysics, vol. 74, pp. A41-A46, 2009.
Felix J. Herrmann and Xiang Li, “Efficient least-squares imaging with sparsity promotion and compressive sensing”, Geophysical Prospecting, vol. 60, pp. 696-712, 2012.
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.
Felix J. Herrmann, Ali Siahkoohi, and Gabrio Rizzuti, “Learned imaging with constraints and uncertainty quantification”, in Neural Information Processing Systems (NeurIPS), 2019.
Felix J. Herrmann, Ali Siahkoohi, and Gabrio Rizzuti, “Learned imaging with constraints and uncertainty quantification”, HotCSE Seminar. 2019.
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.
Felix J. Herrmann, “Digital twins in the era of generative AI”, The Leading Edge, vol. 42, 2023.
Felix J. Herrmann, Abhinav Prakash Gahlot, Rafael Orozco, Ziyi Yin, and Haoyun Li, “DT4GCS –- Digital Twin for Geological CO2 Storage and Control”, in Gigatonnes CO2 Storage Workshop, 2024.