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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).
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, Weak deep priors for seismic imaging, in SEG Technical Program Expanded Abstracts, 2020, pp. 2998-3002.
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, 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, 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.
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.
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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.
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.
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, 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 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, 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 and Felix J. Herrmann, Least-squares migration of full wavefield with source encoding, in EAGE Annual Conference Proceedings, 2012.
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 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.

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