Biblio

Export 449 results:
[ Author(Asc)] Title Type Year
Filters: Type is Conference  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
T
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.
S
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, 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.
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.
Ali Siahkoohi, Thomas J. Grady II, Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, and Felix J. Herrmann, Capturing velocity-model uncertainty and two-phase flow with Fourier Neural Operators, in EAGE Annual Conference Proceedings, 2022, p. AI in Geoscience and Geophysics: Current Trends and Future Prospects (Dedicated Session).

Pages