Biblio

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Conference
Bas Peters, Felix J. Herrmann, and Tristan van Leeuwen, Wave-equation based inversion with the penalty method: adjoint-state versus wavefield-reconstruction inversion, in EAGE Annual Conference Proceedings, 2014.
Richard Rex, Ziyi Yin, and Felix J. Herrmann, Velocity Continuation for Common Image Gathers with Fourier Neural Operators, in International Meeting for Applied Geoscience and Energy, 2024.
Abhinav Prakash Gahlot, Rafael Orozco, Haoyun Li, Grant Bruer, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, An Uncertainty-Aware Digital Twin for Geological Carbon Storage, in SIAM Conference on Uncertainty Quantification, 2024.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, Uncertainty quantification in imaging and automatic horizon tracking—a Bayesian deep-prior based approach, in SEG Technical Program Expanded Abstracts, 2020, pp. 1636-1640.
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.
Aleksandr Y. Aravkin, Tristan van Leeuwen, and Ning Tu, Sparse seismic imaging using variable projection, in ICASSP, 2013.
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.
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.
Tristan van Leeuwen and Felix J. Herrmann, Probing the extended image volume, in SEG Technical Program Expanded Abstracts, 2011, vol. 30, pp. 4045-4050.
Rafael Orozco, Ziyi Yin, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, Neural wave-based imaging with amortized uncertainty quantification, in Inverse Problems: Modelling and Simulation, 2024.
Ting-ying Yu, Abhinav Prakash Gahlot, Rafael Orozco, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, Monitoring Subsurface CO2 Plumes with Sequential Bayesian Inference, in International Meeting for Applied Geoscience and Energy, 2023.
Ning Tu, Tim T.Y. Lin, and Felix J. Herrmann, Migration with surface-related multiples from incomplete seismic data, in SEG Technical Program Expanded Abstracts, 2011, vol. 30, pp. 3222-3227.
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.
Mathias Louboutin, Rafael Orozco, Ali Siahkoohi, and Felix J. Herrmann, Learned non-linear simultenous source and corresponding supershot for seismic imaging., in International Meeting for Applied Geoscience and Energy, 2023.
Felix J. Herrmann, Ali Siahkoohi, and Gabrio Rizzuti, Learned imaging with constraints and uncertainty quantification, in Neural Information Processing Systems (NeurIPS), 2019.
Joost van der Neut, Felix J. Herrmann, and Kees Wapenaar, Interferometric redatuming with simultaneous and missing sources using sparsity promotion in the curvelet domain, in SEG Technical Program Expanded Abstracts, 2012, vol. 31, pp. 1-7.
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.
Ning Tu and Felix J. Herrmann, Imaging with multiples accelerated by message passing, in SEG Technical Program Expanded Abstracts, 2012, vol. 31, pp. 1-6.
Ning Tu, Aleksandr Y. Aravkin, Tristan van Leeuwen, and Felix J. Herrmann, Fast least-squares migration with multiples and source estimation, in EAGE Annual Conference Proceedings, 2013.
Philipp A. Witte, Mathias Louboutin, Henryk Modzelewski, Charles Jones, James Selvage, and Felix J. Herrmann, Event-driven workflows for large-scale seismic imaging in the cloud, in SEG Technical Program Expanded Abstracts, 2019, pp. 3984-3988.
Yunlin Zeng, Rafael Orozco, Ziyi Yin, and Felix J. Herrmann, Enhancing Full-Waveform Variational Inference through Stochastic Resampling and Data Augmentation, in International Meeting for Applied Geoscience and Energy, 2024.
Felix J. Herrmann and Xiang Li, Efficient least-squares migration with sparsity promotion, in EAGE Annual Conference Proceedings, 2011.

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