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Gabrio Rizzuti, Ali Siahkoohi, Philipp A. Witte, and Felix J. Herrmann, “Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization”, in SEG Technical Program Expanded Abstracts, 2020, pp. 1541-1545.
Gabrio Rizzuti, Ali Siahkoohi, and Felix J. Herrmann, “Learned iterative solvers for the Helmholtz equation”, in EAGE Annual Conference Proceedings, 2019.
Gabrio Rizzuti, Mathias Louboutin, Rongrong Wang, Emmanouil Daskalakis, and Felix J. Herrmann, “A dual formulation for time-domain wavefield reconstruction inversion”, in SIAM Conference on Mathematical and Computational Issues in the Geosciences, 2019.
Gabrio Rizzuti, Mathias Louboutin, Rongrong Wang, and Felix J. Herrmann, “Time-domain Wavefield Reconstruction Inversion for large-scale seismic inversion”, in SIAM Conference on Mathematical and Computational Issues in the Geosciences, 2021.
Gabrio Rizzuti, Mathias Louboutin, Rongrong Wang, Emmanouil Daskalakis, and Felix J. Herrmann, “A dual formulation for time-domain wavefield reconstruction inversion”, in SEG Technical Program Expanded Abstracts, 2019, pp. 1480-1485.
Sean Ross-Ross, “Seismic inversion through operator overloading”, in SINBAD 2008, 2008.
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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, 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, 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.
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, 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.
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, 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, Mathias Louboutin, Rajiv Kumar, and Felix J. Herrmann, “Deep Convolutional Neural Networks in prestack seismic–-two exploratory examples”, in SEG Technical Program Expanded Abstracts, 2018, pp. 2196-2200.
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, “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.

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