Biblio

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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, 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, Rajiv Kumar, and Felix J. Herrmann, Seismic data reconstruction with Generative Adversarial Networks, in EAGE Annual Conference Proceedings, 2018.
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 and Felix J. Herrmann, Seismic data interpolation with Generative Adversarial Networks, SINBAD Fall consortium talks. SINBAD, 2017.
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, 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, 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 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, Gabrio Rizzuti, Rafael Orozco, and Felix J. Herrmann, Reliable amortized variational inference with physics-based latent distribution correction, Geophysics, vol. 88, 2023.
Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, and Felix J. Herrmann, Low-cost uncertainty quantification for large-scale inverse problems, ML4SEISMIC Partners Meeting. 2022.
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.
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.
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Anais Tamalet, Variance parameters estimation - application to full waveform inversion, SINBAD Fall consortium talks. SINBAD, 2012.
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.
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.
Darren Thomson, Large-scale seismic data recovery by the parallel windowed curvelet transform, 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.
Darren Thomson, (P)SLIMPy: parallel extension, in SINBAD 2006, 2006.
Valentin Tschannen, Zhilong Fang, and Felix J. Herrmann, Time domain least squares migration and dimensionality reduction, UBC, TR-EOAS-2014-9, 2014.
Ning Tu, Fast imaging with surface-related multiples, The University of British Columbia, Vancouver, 2015.

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