Biblio

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Ning Tu, Aleksandr Y. Aravkin, Tristan van Leeuwen, Tim T.Y. Lin, and Felix J. Herrmann, Fast imaging with source estimation, SINBAD Fall consortium talks. SINBAD, 2014.
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 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 and Felix J. Herrmann, Fast least-squares imaging with surface-related multiples: application to a North-Sea data set, The Leading Edge, vol. 34, pp. 788–794, 2015.
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.
Ning Tu, Aleksandr Y. Aravkin, Tristan van Leeuwen, and Felix J. Herrmann, Fast imaging with multiples and source estimation, SINBAD Spring consortium talks. SINBAD, 2013.
Ning Tu and Felix J. Herrmann, Fast imaging with surface-related multiples by sparse inversion, SINBAD Fall consortium talks. SINBAD, 2014.
Valentin Tschannen, Zhilong Fang, and Felix J. Herrmann, Time domain least squares migration and dimensionality reduction, UBC, TR-EOAS-2014-9, 2014.
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.
Darren Thomson, (P)SLIMPy: parallel extension, in SINBAD 2006, 2006.
Darren Thomson, Large-scale seismic data recovery by the parallel windowed curvelet transform, in SINBAD 2006, 2006.
Wen Tang, Jianwei Ma, and Felix J. Herrmann, Optimized Compressed Sensing for Curvelet-based Seismic Data Reconstruction, CiteSeer, 2008.
Gang Tang, Reza Shahidi, and Jianwei Ma, Design of two-dimensional randomized sampling schemes for curvelet-based sparsity-promoting seismic data recovery, UBC Earth and Ocean Sciences Department, TR-EOAS-2009-3, 2009.
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.
Anais Tamalet, Variance parameters estimation - application to full waveform inversion, SINBAD Fall consortium talks. SINBAD, 2012.
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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.
Brendan R. Smithyman, Bas Peters, Bryan DeVault, and Felix J. Herrmann, Joint full-waveform inversion of on-land surface and VSP data from the Permian Basin, UBC, TR-EOAS-2014-4, 2014.
Brendan R. Smithyman and Felix J. Herrmann, Phase-residual based quality-control methods and techniques for mitigating cycle skips, SINBAD Fall consortium talks. SINBAD, 2013.
Brendan R. Smithyman, Bas Peters, and Felix J. Herrmann, Challenges and developments arising from 2D FWI of a land VSP dataset in the Permian Basin, SINBAD Fall consortium talks. SINBAD, 2014.
Ali Siahkoohi, Chinen, M., Denton, T., W. Kleijn, B., and Skoglund, J., Ultra-Low-Bitrate Speech Coding with Pretrained Transformers, in Proceedings of INTERSPEECH, 2022.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification, GT SEG Student Chapter. 2020.
Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, Neural network augmented wave-equation simulation, Georgia Institute of Technology, TR-CSE-2019-1, 2019.
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, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, Amortized velocity continuation with Fourier neural operators, ML4SEISMIC Partners Meeting. 2022.
Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, and Felix J. Herrmann, Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows, Georgia Institute of Technology, TR-CSE-2020-2, 2020.

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