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Curt Da Silva, Haneet Wason, Mathias Louboutin, Bas Peters, Shashin Sharan, Zhilong Fang, and Felix J. Herrmann, “Scaling SINBAD software to 3-D on Yemoja”, SINBAD Fall consortium talks. SINBAD, 2015.
Mathias Louboutin, Fabio Luporini, Philipp A. Witte, Rhodri Nelson, George Bisbas, Thorbecke, J., Felix J. Herrmann, and Gerard Gorman, “Scaling through abstractions – high-performance vectorial wave simulations for seismic inversion with Devito”, Georgia Institute of Technology, TR-CSE-2020-3, 2020.
Felix J. Herrmann, “Seismic advances”, International Innovation, pp. 46-49, 2013.
Peyman P. Moghaddam, Felix J. Herrmann, and Christiaan C. Stolk, “Seismic amplitude recovery with curvelets”, in EAGE Annual Conference Proceedings, 2007.
Rajiv Kumar, Aleksandr Y. Aravkin, Hassan Mansour, Ben Recht, and Felix J. Herrmann, “Seismic data interpolation and denoising using SVD-free low-rank matrix factorization”, in EAGE Annual Conference Proceedings, 2013.
Rajiv Kumar, “Seismic data interpolation using SVD free Pareto curve based low rank optimization”, SINBAD Fall consortium talks. SINBAD, 2012.
Rajiv Kumar, Hassan Mansour, Aleksandr Y. Aravkin, and Felix J. Herrmann, “Seismic data interpolation via low-rank matrix factorization in the hierarchical semi-separable representation”, SINBAD Spring consortium talks. SINBAD, 2013.
Ali Siahkoohi and Felix J. Herrmann, “Seismic data interpolation with Generative Adversarial Networks”, SINBAD Fall consortium talks. SINBAD, 2017.
James Johnson and Gilles Hennenfent, “Seismic data interpolation with symmetry”, in SINBAD 2008, 2008.
Felix J. Herrmann, Deli Wang, Gilles Hennenfent, and Peyman P. Moghaddam, “Seismic data processing with curvelets: a multiscale and nonlinear approach”, in SEG Technical Program Expanded Abstracts, 2007, vol. 26, pp. 2220-2224.
Fadhel Abbas Alhashim, “Seismic data processing with the parallel windowed curvelet transform”, The University of British Columbia, Vancouver, 2009.
Ali Siahkoohi, Rajiv Kumar, and Felix J. Herrmann, “Seismic data reconstruction with Generative Adversarial Networks”, in EAGE Annual Conference Proceedings, 2018.
I. Bhar, Huseyin Tuna Erdinc, Souza, T., Rafael Orozco, and Felix J. Herrmann, “Seismic Dataset Curation from UK National Data Repository to Validate SAGE and WISE”, in ML4SEISMIC Partners Meeting, 2025.
Felix J. Herrmann, “Seismic deconvolution by atomic decomposition: a parametric approach with sparseness constraints”, Integrated Computer-Aided Engineering, vol. 12, pp. 69-90, 2005.
Gilles Hennenfent, R. Neelamani, and Felix J. Herrmann, “Seismic deconvolution revisited with curvelet frames”, in EAGE Annual Conference Proceedings, 2005.
Gilles Hennenfent and Felix J. Herrmann, “Seismic denoising with nonuniformly sampled curvelets”, Computing in Science & Engineering, vol. 8, pp. 16-25, 2006.
Carson Yarham, “Seismic ground-roll separation using sparsity promoting $\ell_1$ minimization”, The University of British Columbia, Vancouver, 2008.
Felix J. Herrmann, “Seismic image amplitude recovery”, in SINBAD 2007, 2007.
Felix J. Herrmann, Gilles Hennenfent, and Peyman P. Moghaddam, “Seismic imaging and processing with curvelets”, in EAGE Annual Conference Proceedings, 2007.
Mengmeng Yang, “Seismic imaging with extended image volumes and source estimation”, Georgia Institute of Technology, Atlanta, 2020.
Ali Siahkoohi, Philipp A. Witte, Mathias Louboutin, Felix J. Herrmann, and Gabrio Rizzuti, “Seismic Imaging with Uncertainty Quantification: Sampling from the Posterior with Generative Networks”, in SIAM Conference on Imaging Science, 2020.
Felix J. Herrmann, “Seismic inversion through operator overloading”, in AIP, 2007.
Sean Ross-Ross, “Seismic inversion through operator overloading”, in SINBAD 2008, 2008.
Grant Bruer, Abhinav Prakash Gahlot, Edmond Chow, and Felix J. Herrmann, “Seismic monitoring of CO2 plume dynamics using ensemble Kalman filtering”, ML4SEISMIC Partners Meeting. 2024.
Grant Bruer, Abhinav Prakash Gahlot, Edmond Chow, and Felix J. Herrmann, “Seismic monitoring of CO2 plume dynamics using ensemble Kalman filtering”, Transactions on Geoscience and Remote Sensing, 2025.

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