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Felix J. Herrmann, Deli Wang, and D. J. Verschuur, “Adaptive curvelet-domain primary-multiple separation”, Geophysics, vol. 73, pp. A17-A21, 2008.
Felix J. Herrmann, Haneet Wason, and Tim T.Y. Lin, “Compressive sensing in seismic exploration: an outlook on a new paradigm”, CSEG Recorder, vol. 36, pp. 34-39, 2011.
Felix J. Herrmann, Haneet Wason, and Tim T.Y. Lin, “Compressive sensing in seismic exploration: an outlook on a new paradigm”, CSEG Recorder, vol. 36, pp. 19-33, 2011.
Felix J. Herrmann, “Sometimes it pays to be cheap – Compressive time-lapse seismic data acquisition”, SEG Distinguished Lecture. Society of Exploration Geophysicists, 2019.
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, Charles Jones, Gerard Gorman, Jan Hückelheim, Keegan Lensink, Paul H. J. Kelly, Navjot Kukreja, Henryk Modzelewski, Michael Lange, Mathias Louboutin, Fabio Luporini, James Selvages, and Philipp A. Witte, “Accelerating ideation and innovation cheaply in the Cloud the power of abstraction, collaboration and reproducibility”, in 4th EAGE Workshop on High-performance Computing, 2019.
Felix J. Herrmann, Ali Siahkoohi, and Gabrio Rizzuti, “Learned imaging with constraints and uncertainty quantification”, HotCSE Seminar. 2019.
Felix J. Herrmann, Mathias Louboutin, and Ali Siahkoohi, “ML@scale using randomized linear algebra”, in Microsoft, 2021.
Felix J. Herrmann, Ali Siahkoohi, Rafael Orozco, Gabrio Rizzuti, Philipp A. Witte, and Mathias Louboutin, “Learned wave-based imaging - variational inference at scale”, in Delft, 2021.
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, “Introduction inaugural ML4Seismic Partners Meeting”, ML4SEISMIC Partners Meeting. 2021.
Felix J. Herrmann, “Uncertainty-aware Digital Twin for Monitoring Geological Carbon Storage”, Direct Air Capture Center Meeting. 2022.
Felix J. Herrmann, “Meet our digital twin for geological carbon storage”, ML4SEISMIC Partners Meeting. 2022.
Felix J. Herrmann, “Introduction to 2022 ML4SEISMIC Partners Meeting”, ML4SEISMIC Partners Meeting. 2022.
Felix J. Herrmann, Mathias Louboutin, Thomas J. Grady II, Ziyi Yin, and Rishi Khan, “The Next Step: Interoperable Domain-Specific Programming”, in SIAM Conference on Computational Science and Engineering, 2023.
Felix J. Herrmann, “Act normal that's crazy enough — an overview of seismic inversion with normalizing flows and surrogate modeling”, Scientific Computing, Applied and Industrial Mathematics (SCAIM) Seminar. 2023.
Felix J. Herrmann, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin, and Mathias Louboutin, “Derisking geological storage with simulation-based seismic monitoring design and machine learning”, in Carbon, Capture, Utilization, and Storage, 2023.
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.

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