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Author Title [ Type(Asc)] Year
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Unpublished
Ziyi Yin, Rafael Orozco, and Felix J. Herrmann, “WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction”. 2024.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “WISER: full-Waveform variational Inference via Subsurface Extensions with Refinements”. 2024.
Richard Rex, Ziyi Yin, and Felix J. Herrmann, “Velocity Continuation for Common Image Gathers with Fourier Neural Operators”. 2024.
Y. Zeng, Rafael Orozco, Ziyi Yin, and Felix J. Herrmann, “Enhancing Full-Waveform Variational Inference through Stochastic Resampling and Data Augmentation”. 2024.
Thesis
Philipp A. Witte, “Software and algorithms for large-scale seismic inverse problems”, Georgia Institute of Technology, Atlanta, 2020.
Mathias Louboutin, “Modeling for inversion in exploration geophysics”, Georgia Institute of Technology, Atlanta, 2020.
Report
Tristan van Leeuwen and Felix J. Herrmann, “A parallel, object-oriented framework for frequency-domain wavefield imaging and inversion.”, Department of Earth and Ocean Sciences, University of British Columbia, Vancouver, TR-EOAS-2012-2, 2012.
Presentation
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, “Uncertainty quantification in imaging and automatic horizon tracking—a Bayesian deep-prior based approach”, ML4SEISMIC Partners Meeting. 2021.
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.
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.
Felix J. Herrmann, Ali Siahkoohi, and Gabrio Rizzuti, “Learned imaging with constraints and uncertainty quantification”, HotCSE Seminar. 2019.
Mathias Louboutin, Kartha, Y., Rafael Orozco, and Felix J. Herrmann, “Learned extensions for wave-based simulation and inversion”, ML4SEISMIC Partners Meeting. 2022.
Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “Improved seismic monitoring of CO2 sequestration with the weighted joint recovery model”, ML4SEISMIC Partners Meeting. 2021.
Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, “Domain-specific abstractions for large-scale geophysical inverse problems”, HotCSE Seminar. 2019.
Abhinav Prakash Gahlot, Rafael Orozco, Haoyun Li, Huseyin Tuna Erdinc, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “Digital Twins in the Era of Generative AI: Application to Geological CO 2 Storage”, HCMF Seminar. 2024.
Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “De-risking GCS projects with explainable CO$_2$ leakage detection in time-lapse seismic images”, ML4SEISMIC Partners Meeting. 2022.
Journal Article
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “WISE: full-Waveform variational Inference via Subsurface Extensions”, Geophysics, 2024.
Hamideh Sanavi, Peyman P. Moghaddam, and Felix J. Herrmann, “True amplitude depth migration using curvelets”, Geophysics, vol. 86, pp. S299-S310, 2021.
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.
Mathias Louboutin, Ziyi Yin, Rafael Orozco, Thomas J. Grady II, Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, Olav Møyner, Gerard J. Gorman, and Felix J. Herrmann, “Learned multiphysics inversion with differentiable programming and machine learning”, The Leading Edge, vol. 42, pp. 452-516, 2023.
Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “The importance of transfer learning in seismic modeling and imaging”, Geophysics, 2019.
Philipp A. Witte, Mathias Louboutin, Henryk Modzelewski, Charles Jones, James Selvage, and Felix J. Herrmann, “An Event-Driven Approach to Serverless Seismic Imaging in the Cloud”, IEEE Transactions on Parallel and Distributed Systems, vol. 31, pp. 2032-2049, 2020.
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, “Digital twins in the era of generative AI”, The Leading Edge, vol. 42, 2023.
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.

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