Biblio

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Philipp A. Witte, Mathias Louboutin, Fabio Luporini, Gerard J. Gorman, and Felix J. Herrmann, Compressive least squares migration with on-the-fly Fourier transforms, in SIAM Conference on Computational Science and Engineering, 2019.
Felix J. Herrmann, Compressive imaging by wavefield inversion with group sparsity, in SEG Technical Program Expanded Abstracts, 2009, vol. 28, pp. 2337-2341.
Tim T.Y. Lin and Felix J. Herrmann, Compressed wavefield extrapolation with curvelets, in SEG Technical Program Expanded Abstracts, 2007, vol. 26, pp. 1997-2001.
Tim T.Y. Lin and Felix J. Herrmann, Compressed wavefield extrapolation, in SINBAD, 2008.
Felix J. Herrmann, Compressed wavefield extrapolation, in SINBAD 2007, 2007.
Haneet Wason, Felix Oghenekohwo, and Felix J. Herrmann, Compressed sensing in 4-D marine–-recovery of dense time-lapse data from subsampled data without repetition, in EAGE Annual Conference Proceedings, 2015.
Rajiv Kumar, Shashin Sharan, Nick Moldoveanu, and Felix J. Herrmann, Compressed sensing based land simultaneous acquisition using encoded sweeps, in EAGE Annual Conference Proceedings, 2018.
Felix J. Herrmann, Compressed sensing and sparse recovery in exploration seismology, in PIMS, 2009.
Felix J. Herrmann, Compressed sensing and sparse recovery in exploration seismology, in PIMS, 2009.
Felix J. Herrmann, Compressed sensing and sparse recovery in exploration seismology, in PIMS, 2009.
Tim T.Y. Lin, Compressed imaging, in SINBAD 2006, 2006.
M. O. Frijlink, Reza Shahidi, Felix J. Herrmann, and R. G. van Borselen, Comparison of standard adaptive subtraction and primary-multiple separation in the curvelet domain, in EAGE Annual Conference Proceedings, 2010.
Haoyun Li, Abhinav Prakash Gahlot, and Felix J. Herrmann, CO2 Enhanced Oil Recovery Through Digital Shadow Modeling, in International Meeting for Applied Geoscience and Energy, 2025.
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).
Z. Deng, Abhinav Prakash Gahlot, Zeng, S., and Felix J. Herrmann, Bridging the Acoustic–Elastic Gap in Seismic Inversion via Robust Summary Statistics, in ML4SEISMIC Partners Meeting, 2025.
Z. Deng, Abhinav Prakash Gahlot, Zeng, S., and Felix J. Herrmann, Bridging the Acoustic-Elastic Gap in Seismic Inversion via Robust Summary Statistics, in International Meeting for Applied Geoscience and Energy, 2026.
Felix J. Herrmann, Breaking structure - why randomized sampling matters, in CSEG Technical Luncheon, 2014.
Hassan Mansour, Beyond $\ell_1$ norm minimization for sparse signal recovery, in 2012 IEEE Statistical Signal Processing Workshop (SSP) (SSP'12), Ann Arbor, Michigan, USA, 2012.
Felix J. Herrmann, Gang Tang, Reza Shahidi, Gilles Hennenfent, and Tim T.Y. Lin, Beating Nyquist by randomized sampling, in EAGE Annual Conference Proceedings, 2009.
Rafael Orozco, Abhinav Prakash Gahlot, and Felix J. Herrmann, BEACON: Bayesian Experimental design Acceleration with Conditional Normalizing flows - a case study in optimal monitor well placement for CO2 sequestration, in International Meeting for Applied Geoscience and Energy, 2024.
Carson Yarham, Bayesian signal separation applied to ground-roll removal, in SINBAD 2008, 2008.
Yunlin Zeng, Huseyin Tuna Erdinc, and Felix J. Herrmann, Bayesian Joint Velocity and Impedance Inversion via Diffusion Models Conditioned on Common Image Gathers, in International Meeting for Applied Geoscience and Energy, 2026.
Carson Yarham and Felix J. Herrmann, Bayesian ground-roll seperation by curvelet-domain sparsity promotion, in SEG Technical Program Expanded Abstracts, 2008, vol. 27, pp. 2576-2580.
Gilles Hennenfent, Basic Processing flows with SCons, in SINBAD, 2006.
Yunlin Zeng, Huseyin Tuna Erdinc, Rafael Orozco, and Felix J. Herrmann, Background-Conditioned Diffusion Inversion for Seismic Velocity Models, in ML4SEISMIC Partners Meeting, 2025.

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