Biblio

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Conference
Peyman P. Moghaddam, Felix J. Herrmann, and Christiaan C. Stolk, Migration amplitude recovery using curvelets, in CSEG Annual Conference Proceedings, 2007.
Peyman P. Moghaddam and Felix J. Herrmann, Migration preconditioning with curvelets, in SEG Technical Program Expanded Abstracts, 2004, vol. 23, pp. 2204-2207.
Yogi A. Erlangga and Felix J. Herrmann, Migration with implicit solvers for the time-harmonic Helmholtz equation, in EAGE Annual Conference Proceedings, 2009.
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.
Tim T.Y. Lin and Felix J. Herrmann, Mitigating data gaps in the estimation of primaries by sparse inversion without data reconstruction, in SEG Technical Program Expanded Abstracts, 2014, pp. 4157-4161.
Felix J. Herrmann, Mathias Louboutin, and Ali Siahkoohi, ML@scale using randomized linear algebra, in Microsoft, 2021.
Xiang Li, Felix J. Herrmann, Tristan van Leeuwen, and Aleksandr Y. Aravkin, Modified Gauss-Newton with sparse updates, in SBGF, 2011.
Felix J. Herrmann, Xiang Li, Aleksandr Y. Aravkin, and Tristan van Leeuwen, A modified, sparsity promoting, Gauss-Newton algorithm for seismic waveform inversion, in Proc. SPIE, 2011.
Ting-ying Yu, Abhinav Prakash Gahlot, Rafael Orozco, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, Monitoring Subsurface CO2 Plumes with Sequential Bayesian Inference, in International Meeting for Applied Geoscience and Energy, 2023.
Felix J. Herrmann, Multifractional splines: application to seismic imaging, in Proceedings of SPIE Technical Conference on Wavelets: Applications in Signal and Image Processing X, 2003, vol. 5207, pp. 240-258.
Tim T.Y. Lin and Felix J. Herrmann, Multilevel acceleration strategy for the robust estimation of primaries by sparse inversion, in EAGE Annual Conference Proceedings, 2014.
Felix J. Herrmann, Multiple prediction from incomplete data, in SINBAD 2006, 2006.
Felix J. Herrmann, Multiple prediction from incomplete data with the focused curvelet transform, in SEG Technical Program Expanded Abstracts, 2007, vol. 26, pp. 2505-2600.
D. J. Verschuur, Deli Wang, and Felix J. Herrmann, Multiterm multiple prediction using separated reflections and diffractions combined with curvelet-based subtraction, in SEG Technical Program Expanded Abstracts, 2007, vol. 26, pp. 2535-2539.
Rafael Orozco, Ziyi Yin, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, Neural wave-based imaging with amortized uncertainty quantification, in Inverse Problems: Modelling and Simulation, 2024.
Felix Oghenekohwo and Felix J. Herrmann, A new take on compressive time-lapse seismic acquisition, imaging and inversion, in PIMS Workshop on Advances in Seismic Imaging and Inversion, 2015.
Tristan van Leeuwen, Felix J. Herrmann, and Bas Peters, A new take on FWI: wavefield reconstruction inversion, in EAGE Annual Conference Proceedings, 2014.
Felix J. Herrmann, Mathias Louboutin, Thomas J. Grady II, Ziyi Yin, and Rishi Khan, The Next Step: Interoperable Domain-Specific Programming, in SIAM Conference on Computational Science and Engineering, 2023.
Felix J. Herrmann and Gilles Hennenfent, Non-linear data continuation with redundant frames, in CSEG Annual Conference Proceedings, 2005.
Felix J. Herrmann and Peyman P. Moghaddam, Non-linear regularization in seismic imaging, in CSEG Annual Conference Proceedings, 2005.
Aleksandr Y. Aravkin, James V. Burke, Felix J. Herrmann, and Tristan van Leeuwen, A nonlinear sparsity promoting formulation and algorithm for full waveform inversion, in EAGE Annual Conference Proceedings, 2011.
Aleksandr Y. Aravkin, Tristan van Leeuwen, Kenneth Bube, and Felix J. Herrmann, On non-uniqueness of the Student's t-formulation for linear inverse problems, in SEG Technical Program Expanded Abstracts, 2012, vol. 31, pp. 1-5.
Rafael Orozco, Abhinav Prakash Gahlot, Peng Chen, Mathias Louboutin, and Felix J. Herrmann, Normalizing Flows for Bayesian Experimental Design in Imaging Applications, in SIAM Conference on Uncertainty Quantification, 2024.
Rafael Orozco, Abhinav Prakash Gahlot, Peng Chen, Mathias Louboutin, and Felix J. Herrmann, Normalizing Flows for Bayesian Experimental Design in Imaging Applications, in EAGE Annual Conference Proceedings, 2024.
Bas Peters and Felix J. Herrmann, A numerical solver for least-squares sub-problems in 3D wavefield reconstruction inversion and related problem formulations, in SEG Technical Program Expanded Abstracts, 2019, pp. 1536-1540.

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