Biblio

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Author Title [ Type(Desc)] Year
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Conference
Felix J. Herrmann, Approximate message passing meets exploration seismology, in 2012 IEEE Statistical Signal Processing Workshop (SSP) (SSP'12), Ann Arbor, Michigan, USA, 2012.
Ali Siahkoohi, Thomas J. Grady II, Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, and Felix J. Herrmann, Capturing velocity-model uncertainty and two-phase flow with Fourier Neural Operators, in EAGE Annual Conference Proceedings, 2022, p. AI in Geoscience and Geophysics: Current Trends and Future Prospects (Dedicated Session).
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, and Felix J. Herrmann, Deep Bayesian Inference for Task-based Seismic Imaging, in KAUST, 2021.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification, in EAGE Annual Conference Proceedings, 2020.
Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, De-risking Carbon Capture and Sequestration with Explainable CO$_2$ Leakage Detection in Time-lapse Seismic Monitoring Images, in AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges, 2022.
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.
Ziyi Yin, Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Gabrio Rizzuti, and Felix J. Herrmann, Extended source imaging –- a unifying framework for seismic and medical imaging, in SEG Technical Program Expanded Abstracts, 2020, pp. 3502-3506.
Ali Siahkoohi, Rafael Orozco, Gabrio Rizzuti, Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, Fast and reliability-aware seismic imaging with conditional normalizing flows, in Intelligent illumination of the Earth, 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.
Ali Siahkoohi and Felix J. Herrmann, Learning by example: fast reliability-aware seismic imaging with normalizing flows, in SEG Technical Program Expanded Abstracts, 2021, pp. 1580-1585.
Ning Tu and Felix J. Herrmann, Sparse least-squares seismic imaging with source estimation utilizing multiples, in PIMS Workshop on Advances in Seismic Imaging and Inversion, 2015.
Ali Siahkoohi, Rafael Orozco, Gabrio Rizzuti, and Felix J. Herrmann, Wave-equation based inversion with amortized variational Bayesian inference, in EAGE Annual Conference Proceedings, 2022, p. Session 2: Velocity model building and imaging (different domains).
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, Weak deep priors for seismic imaging, in SEG Technical Program Expanded Abstracts, 2020, pp. 2998-3002.
Thesis
Ning Tu, Fast imaging with surface-related multiples, The University of British Columbia, Vancouver, 2015.
Xiang Li, Sparsity promoting seismic imaging and full-waveform inversion, The University of British Columbia, Vancouver, 2015.