Biblio

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Conference
Mathias Louboutin and Felix J. Herrmann, Abstractions and algorithms for efficient seismic inversion on accelerators, in IMAGE Workshop on What's Next for FWI and its Derived Products, 2022.
Felix J. Herrmann, Accelerated large-scale inversion with message passing, in SEG Technical Program Expanded Abstracts, 2012, vol. 31, pp. 1-6.
Philipp A. Witte, Mathias Louboutin, Fabio Luporini, Gerard J. Gorman, and Felix J. Herrmann, Compressive least squares migration with on-the-fly Fourier transforms, in SIAM Conference on Computational Science and Engineering, 2019.
Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, Compressive time-lapse seismic monitoring of carbon storage and sequestration with the joint recovery model, in SEG Technical Program Expanded Abstracts, 2021, pp. 3434-3438.
Tristan van Leeuwen, A correlation-based misfit criterion for wave-equation traveltime tomography, in ICIAM, 2011.
Shashin Sharan, Rajiv Kumar, Rongrong Wang, and Felix J. Herrmann, A debiasing approach to microseismic, in SEG Technical Program Expanded Abstracts, 2018, pp. 2942-2946.
Mathias Louboutin, Philipp A. Witte, and Felix J. Herrmann, Effects of wrong adjoints for RTM in TTI media, in SEG Technical Program Expanded Abstracts, 2018, pp. 331-335.
Felix J. Herrmann and Xiang Li, Efficient least-squares migration with sparsity promotion, in EAGE Annual Conference Proceedings, 2011.
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.
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.
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.
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.
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, Ali Siahkoohi, and Gabrio Rizzuti, Learned imaging with constraints and uncertainty quantification, in Neural Information Processing Systems (NeurIPS), 2019.
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, 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.
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.
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.
Tristan van Leeuwen and Felix J. Herrmann, Probing the extended image volume, in SEG Technical Program Expanded Abstracts, 2011, vol. 30, pp. 4045-4050.
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.
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.
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.
Aleksandr Y. Aravkin, Tristan van Leeuwen, and Ning Tu, Sparse seismic imaging using variable projection, in ICASSP, 2013.
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.

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