Biblio

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Rayan Saab, Curvelet-based primary-multiple separation from a Bayesian perspective, in SINBAD 2008, 2008.
Rayan Saab, Rick Chartrand, and Ozgur Yilmaz, Stable sparse approximations via nonconvex optimization, in ICASSP, 2008.
Rayan Saab, Deli Wang, Ozgur Yilmaz, and Felix J. Herrmann, Curvelet-based primary-multiple separation from a Bayesian perspective, in SEG Technical Program Expanded Abstracts, 2007, vol. 26, pp. 2510-2514.
Rayan Saab and Ozgur Yilmaz, A short note on non-convex compressed sensing, in SAMPTA technical program, 2009.
Challa S. Sastry, Norm-one recovery from irregular sampled data, in SINBAD 2007, 2007.
Challa S. Sastry, Gilles Hennenfent, and Felix J. Herrmann, Signal reconstruction from incomplete and misplaced measurements, in EAGE Annual Conference Proceedings, 2007.
Challa S. Sastry, Gilles Hennenfent, and Felix J. Herrmann, Recovery from unstructured data, in SINBAD 2006, 2006.
Reza Shahidi and Felix J. Herrmann, Curvelet-domain matched filtering with frequency-domain regularization, in SEG Technical Program Expanded Abstracts, 2009, vol. 28, pp. 3645-3649.
Shashin Sharan, Rajiv Kumar, Diego S. Dumani, Mathias Louboutin, Rongrong Wang, Stanislav Emelianov, and Felix J. Herrmann, Sparsity-promoting photoacoustic imaging with source estimation, in 2018 IEEE International Ultrasonics Symposium (IUS), 2018, pp. 206-212.
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.
Shashin Sharan, Rongrong Wang, and Felix J. Herrmann, High resolution fast microseismic source collocation and source time function estimation, in SEG Technical Program Expanded Abstracts, 2017, pp. 2778-2783.
Shashin Sharan, Rongrong Wang, Tristan van Leeuwen, and Felix J. Herrmann, Sparsity-promoting joint microseismic source collocation and source-time function estimation, in SEG Technical Program Expanded Abstracts, 2016, pp. 2574-2579.
Ali Siahkoohi, Rajiv Kumar, and Felix J. Herrmann, Deep-learning based ocean bottom seismic wavefield recovery, in SEG Technical Program Expanded Abstracts, 2019, pp. 2232-2237.
Ali Siahkoohi, Dirk J. Verschuur, and Felix J. Herrmann, Surface-related multiple elimination with deep learning, in SEG Technical Program Expanded Abstracts, 2019, pp. 4629-4634.
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.
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.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, Weak deep priors for seismic imaging, in SEG Technical Program Expanded Abstracts, 2020, pp. 2998-3002.
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, Mathias Louboutin, and Felix J. Herrmann, Unsupervised data-guided uncertainty analysis in imaging and horizon tracking, in SIAM Texas-Louisiana, 2020.
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, and Felix J. Herrmann, Preconditioned training of normalizing flows for variational inference in inverse problems, in 3rd Symposium on Advances in Approximate Bayesian Inference, 2021.
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 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.
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.
Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, Velocity continuation with Fourier neural operators for accelerated uncertainty quantification, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
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).

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