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Author Title [ Type(Desc)] Year
Conference
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.
Ewout van den Berg and Michael P. Friedlander, “In pursuit of a root”, presented at the 07, 2007.
Ewout van den Berg and Michael P. Friedlander, “In pursuit of a root”, in 2007 Von Neumann Symposium, 2007.
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.
Rafael Orozco, Huseyin Tuna Erdinc, Mathias Louboutin, and Felix J. Herrmann, “Industry-Scale Uncertainty-Aware Full Waveform Inference with Generative Models”, in SIAM Conference on Computational Science and Engineering (CSE25), 2025.
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.
Abhinav Prakash Gahlot, Bhar, I., and Felix J. Herrmann, “It's All in the Context: Sensitivity-Aware Digital Twins for Underground Storage”, in SIAM Conference on Mathematical & Computational Issues in the Geosciences, Baton Rouge, 2025.
Gilles Hennenfent, “Just denoise: nonlinear recovery from randomly sampled data”, in SINBAD 2007, 2007.
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.
Darren Thomson, “Large-scale seismic data recovery by the parallel windowed curvelet transform”, in SINBAD 2006, 2006.
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.

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