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Ning Tu and Felix J. Herrmann, Sparse least-squares seismic imaging with source estimation utilizing multiples, in PIMS Workshop on Advances in Seismic Imaging and Inversion, 2015.
Ning Tu and Felix J. Herrmann, Least-squares migration of full wavefield with source encoding, in EAGE Annual Conference Proceedings, 2012.
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, Tim T.Y. Lin, and Felix J. Herrmann, Sparsity-promoting migration with surface-related multiples, in EAGE Annual Conference Proceedings, 2011.
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 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, 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, 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, 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.
Darren Thomson, Large-scale seismic data recovery by the parallel windowed curvelet transform, in SINBAD 2006, 2006.
Darren Thomson, (P)SLIMPy: parallel extension, in SINBAD 2006, 2006.
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.
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.
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Brendan R. Smithyman, Bas Peters, and Felix J. Herrmann, Constrained waveform inversion of colocated VSP and surface seismic data, in EAGE Annual Conference Proceedings, 2015.
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, 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.

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