Biblio

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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.
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, 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, Gabrio Rizzuti, and Felix J. Herrmann, Weak deep priors for seismic imaging, in SEG Technical Program Expanded Abstracts, 2020, pp. 2998-3002.
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, 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, 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, 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 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.
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Gang Tang, Reza Shahidi, Felix J. Herrmann, and Jianwei Ma, Higher dimensional blue-noise sampling schemes for curvelet-based seismic data recovery, in SEG Technical Program Expanded Abstracts, 2009, vol. 28, pp. 191-195.
Darren Thomson, Gilles Hennenfent, Henryk Modzelewski, and Felix J. Herrmann, A parallel windowed fast discrete curvelet transform applied to seismic processing, in SEG Technical Program Expanded Abstracts, 2006, vol. 25, pp. 2767-2771.
Ning Tu and Felix J. Herrmann, Fast linearized inversion with surface-related multiples with source estimation, in SEG Workshop on Using Multiples as Signal for Imaging; Denver, 2014.
Ning Tu, Xiang Li, and Felix J. Herrmann, Controlling linearization errors in $\ell_1$ regularized inversion by rerandomization, in SEG Technical Program Expanded Abstracts, 2013, vol. 32, pp. 4640-4644.
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.
Ning Tu, Tristan van Leeuwen, and Felix J. Herrmann, Limitations of the deconvolutional imaging condition for two-way propagators, in SEG Technical Program Expanded Abstracts, 2013, vol. 32, pp. 3916-3920.
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.
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Deli Wang, Rayan Saab, Ozgur Yilmaz, and Felix J. Herrmann, Recent results in curvelet-based primary-multiple separation: application to real data, in SEG Technical Program Expanded Abstracts, 2007, vol. 26, pp. 2500-2504.
Rongrong Wang and Felix J. Herrmann, A denoising formulation of full-waveform inversion, in SEG Technical Program Expanded Abstracts, 2017, pp. 1594-1598.
Rongrong Wang and Felix J. Herrmann, Frequency down-extrapolation with TV norm minimization, in SEG Technical Program Expanded Abstracts, 2016, pp. 1380-1384.

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