Biblio

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Gabrio Rizzuti, Ali Siahkoohi, Philipp A. Witte, and Felix J. Herrmann, Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization, in SEG Technical Program Expanded Abstracts, 2020, pp. 1541-1545.
Philipp A. Witte, Christiaan C. Stolk, and Felix J. Herrmann, Phase velocity error minimizing scheme for the anisotropic pure P-wave equation, in SEG Technical Program Expanded Abstracts, 2016, pp. 452-457.
Philipp A. Witte, Christiaan C. Stolk, and Felix J. Herrmann, Phase velocity error minimizing scheme for the anisotropic pure P-wave equation, SINBAD Fall consortium talks. SINBAD, 2016.
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.
Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, and Felix J. Herrmann, Photoacoustic Imaging with Conditional Priors from Normalizing Flows, in Neural Information Processing Systems (NeurIPS), 2021.
Felix J. Herrmann, Gerard J. Gorman, Jan Hückelheim, Keegan Lensink, Paul H. J. Kelly, Navjot Kukreja, Henryk Modzelewski, Michael Lange, Mathias Louboutin, Fabio Luporini, Ali Siahkoohi, and Philipp A. Witte, The power of abstraction in Computational Exploration Seismology, in Smoky Mountains Computational Sciences and Engineering Conference, 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.
Bas Peters, Brendan R. Smithyman, and Felix J. Herrmann, Projection methods and applications for seismic nonlinear inverse problems with multiple constraints, Geophysics, vol. 84, pp. R251-R269, 2018.
R
Deli Wang, Rayan Saab, Ozgur Yilmaz, and Felix J. Herrmann, Recent results in curvelet-based primary-multiple separation, in SINBAD 2008, 2008.
Deli Wang, Rayan Saab, Ozgur Yilmaz, and Felix J. Herrmann, Recent results in curvelet-based primary-multiple separation: application to real data, in SEG Technical Program Expanded Abstracts, 2007, vol. 26, pp. 2500-2504.
Michael P. Friedlander, Hassan Mansour, Rayan Saab, and Ozgur Yilmaz, Recovering compressively sampled signals using partial support information, IEEE Transactions on Information Theory, vol. 58, pp. 1122-1134, 2012.
Challa S. Sastry, Gilles Hennenfent, and Felix J. Herrmann, Recovery from unstructured data, in SINBAD 2006, 2006.
Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics, in 5th Symposium on Advances in Approximate Bayesian Inference, 2023.
Bas Peters, Brendan R. Smithyman, and Felix J. Herrmann, Regularizing waveform inversion by projection onto intersections of convex sets, UBC, TR-EOAS-2015-4, 2015.
Mathias Louboutin, Bas Peters, Brendan R. Smithyman, and Felix J. Herrmann, Regularizing waveform inversion by projections onto convex sets, in Inaugural Full-Waveform Inversion Workshop, 2015.
Bas Peters, Brendan R. Smithyman, and Felix J. Herrmann, Regularizing waveform inversion by projections onto convex sets, SINBAD Spring consortium talks. SINBAD, 2015.
Bas Peters, Zhilong Fang, Brendan R. Smithyman, and Felix J. Herrmann, Regularizing waveform inversion by projections onto convex sets –- application to the 2D Chevron 2014 synthetic blind-test dataset, UBC, TR-EOAS-2015-7, 2015.
Bas Peters, Brendan R. Smithyman, Mathias Louboutin, and Felix J. Herrmann, Regularizing waveform inversion by projections onto intersections of convex sets, SINBAD Fall consortium talks. SINBAD, 2015.
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, Gabrio Rizzuti, Rafael Orozco, and Felix J. Herrmann, Reliable amortized variational inference with physics-based latent distribution correction, Geophysics, vol. 88, 2023.

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