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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 and Felix J. Herrmann, “Seismic data interpolation with Generative Adversarial Networks”, SINBAD Fall consortium talks. SINBAD, 2017.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, “Deep Bayesian inference for seismic imaging with tasks”, Geophysics, vol. 87, pp. 281-302, 2022.
Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “The importance of transfer learning in seismic modeling and imaging”, Geophysics, 2019.
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, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, and Felix J. Herrmann, “Deep Bayesian Inference for Task-based Seismic Imaging”, in KAUST, 2021.
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, 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, “Deep generative models for solving geophysical inverse problems”, Georgia Institute of Technology, Atlanta, 2022.
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, 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, 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.
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, 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.
Wen Tang, Jianwei Ma, and Felix J. Herrmann, “Optimized Compressed Sensing for Curvelet-based Seismic Data Reconstruction”, CiteSeer, 2008.
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.
Valentin Tschannen, Zhilong Fang, and Felix J. Herrmann, “Time domain least squares migration and dimensionality reduction”, UBC, TR-EOAS-2014-9, 2014.

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