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Yijun Zhang, Shashin Sharan, and Felix J. Herrmann, “High-frequency wavefield recovery with weighted matrix factorizations”, in SEG Technical Program Expanded Abstracts, 2019, pp. 3959-3963.
Evgeniy Lebed and Felix J. Herrmann, “A hitchhiker’s guide to the galaxy of transform-domain sparsification”, in SEG Technical Program Expanded Abstracts, 2008.
Tristan van Leeuwen, Mark Schmidt, Michael P. Friedlander, and Felix J. Herrmann, “A hybrid stocahstic-deterministic method for waveform inversion”, in AMP, 2011.
Tristan van Leeuwen, Felix J. Herrmann, Mark Schmidt, and Michael P. Friedlander, “A hybrid stochastic-deterministic optimization method for waveform inversion”, in EAGE Annual Conference Proceedings, 2011.
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.
Felix J. Herrmann, “Imaging/Inversion with irregular/random sampled spatial arrays”, in SEG-AGU Workshop on Advances in Active + Passive "Full Wavefield" Seismic Imaging: From Reservoirs to Plate Tectonics, 2014.
Felix Oghenekohwo and Felix J. Herrmann, “Improved time-lapse data repeatability with randomized sampling and distributed compressive sensing”, in EAGE Annual Conference Proceedings, 2017.
Tristan van Leeuwen, Aleksandr Y. Aravkin, Henri Calandra, and Felix J. Herrmann, “In which domain should we measure the misfit for robust full waveform inversion?”, in EAGE Annual Conference Proceedings, 2013.
Vishal Kumar and Felix J. Herrmann, “Incoherent noise suppression with curvelet-domain sparsity”, in SEG Technical Program Expanded Abstracts, 2009, vol. 28, pp. 3356-3360.
Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, Rafael Orozco, Ziyi Yin, and Felix J. Herrmann, “Inference of CO2 flow patterns – a feasibility study”, in Neural Information Processing Systems (NeurIPS), 2023.
Joost van der Neut, Felix J. Herrmann, and Kees Wapenaar, “Interferometric redatuming with simultaneous and missing sources using sparsity promotion in the curvelet domain”, in SEG Technical Program Expanded Abstracts, 2012, vol. 31, pp. 1-7.
Tim T.Y. Lin, Evgeniy Lebed, Yogi A. Erlangga, and Felix J. Herrmann, “Interpolating solutions of the Helmholtz equation with compressed sensing”, in SEG Technical Program Expanded Abstracts, 2008, vol. 27, pp. 2122-2126.
Bas Peters and Felix J. Herrmann, “Intersections and sums of sets for the regularization of inverse problems”, in Canadian Mathematical Society Winter Meeting, 2018.
Felix J. Herrmann, Yogi A. Erlangga, Tim T.Y. Lin, and Cody R. Brown, “Introduction to compressive (wavefield) computation”, in SINBAD 2008, 2008.
Philipp A. Witte, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Bas Peters, and Felix J. Herrmann, “InvertibleNetworks.jl - Memory efficient deep learning in Julia”, in JuliaCon, 2021.
Curt Da Silva and Felix J. Herrmann, “Irregular grid tensor completion”, in Workshop on Low-rank Optimization and Applications, 2015.
Gilles Hennenfent and Felix J. Herrmann, “Irregular sampling: from aliasing to noise”, in EAGE Annual Conference Proceedings, 2007.
Yogi A. Erlangga and Felix J. Herrmann, “An iterative multilevel method for computing wavefields in frequency-domain seismic inversion”, in SEG Technical Program Expanded Abstracts, 2008, vol. 27, pp. 1957-1960.
R. A. Eso, S. Napier, Felix J. Herrmann, and D. W. Oldenburg, “Iterative reconstruction algorithm for non-linear operators”, in SEG Technical Program Expanded Abstracts, 2008, vol. 27, pp. 579-583.
Felix J. Herrmann and Peyman P. Moghaddam, “Just diagonalize: a curvelet-based approach to seismic amplitude recovery”, in EAGE Workshop on Curvelets, contourlets, seislets, … in seismic data processing - where are we and where are we going?, 2007.
Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, “Large-scale workflows for wave-equation based inversion in Julia”, in SIAM Conference on Computational Science and Engineering, 2017.
Ziyi Yin, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
Felix J. Herrmann, Ali Siahkoohi, and Gabrio Rizzuti, “Learned imaging with constraints and uncertainty quantification”, in Neural Information Processing Systems (NeurIPS), 2019.
Gabrio Rizzuti, Ali Siahkoohi, and Felix J. Herrmann, “Learned iterative solvers for the Helmholtz equation”, in EAGE Annual Conference Proceedings, 2019.
Mathias Louboutin, Rafael Orozco, Ali Siahkoohi, and Felix J. Herrmann, “Learned non-linear simultenous source and corresponding supershot for seismic imaging.”, in International Meeting for Applied Geoscience and Energy, 2023.

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