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Ali Siahkoohi and Felix J. Herrmann, “Seismic data interpolation with Generative Adversarial Networks”, SINBAD Fall consortium talks. SINBAD, 2017.
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.
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.
Peyman P. Moghaddam, Felix J. Herrmann, and Christiaan C. Stolk, “Seismic amplitude recovery with curvelets”, in EAGE Annual Conference Proceedings, 2007.
Felix J. Herrmann, “Seismic advances”, International Innovation, pp. 46-49, 2013.
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.
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.
Felix J. Herrmann, “Scaling and seismic reflectivity: implications of scaling on AVO”, in EAGE Annual Conference Proceedings, 2001.
Ernie Esser, Tristan van Leeuwen, Aleksandr Y. Aravkin, and Felix J. Herrmann, “A scaled gradient projection method for total variation regularized full waveform inversion”, SINBAD Spring consortium talks. SINBAD, 2014.
Ernie Esser, Tristan van Leeuwen, Aleksandr Y. Aravkin, and Felix J. Herrmann, “A scaled gradient projection method for total variation regularized full waveform inversion”, UBC, TR-EOAS-2014-2, 2014.
Huseyin Tuna Erdinc, Rafael Orozco, and Felix J. Herrmann, “SAGE – Subsurface foundational model with AI-driven Geostatical Extraction”, ML4SEISMIC Partners Meeting. 2024.
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Tim T.Y. Lin and Felix J. Herrmann, “Robust source signature deconvolution and the estimation of primaries by sparse inversion”, in SEG Technical Program Expanded Abstracts, 2011, vol. 30, pp. 4354-4359.
Peyman P. Moghaddam, Felix J. Herrmann, and Christiaan C. Stolk, “Robust seismic-images amplitude recovery using curvelets”, in SEG Technical Program Expanded Abstracts, 2007, vol. 26, pp. 2225-2229.
Aleksandr Y. Aravkin, Michael P. Friedlander, Felix J. Herrmann, and Tristan van Leeuwen, “Robust inversion, dimensionality reduction, and randomized sampling”, Mathematical Programming, vol. 134, pp. 101-125, 2012.
Aleksandr Y. Aravkin, Tristan van Leeuwen, and Felix J. Herrmann, “Robust FWI using Student's t-distribution”, in ICIAM, 2011.
Aleksandr Y. Aravkin, Tristan van Leeuwen, and Felix J. Herrmann, “Robust full-waveform inversion using the Student's t-distribution”, in SEG Technical Program Expanded Abstracts, 2011, vol. 30, pp. 2669-2673.
Tim T.Y. Lin and Felix J. Herrmann, “Robust estimation of primaries by sparse inversion via one-norm minimization”, Geophysics, vol. 78, pp. R133-R150, 2013.
Felix J. Herrmann, Abhinav Prakash Gahlot, Rafael Orozco, Ziyi Yin, and Grant Bruer, “Robust Digital Twin for Geological Carbon Storage”, in SIAM Conference on Computational Science and Engineering (CSE25), 2025.
Felix J. Herrmann and D. J. Verschuur, “Robust curvelet-domain primary-multiple separation with sparseness constraints”, in EAGE Annual Conference Proceedings, 2005.
Felix J. Herrmann and Gilles Hennenfent, “Robust curvelet-domain data continuation with sparseness constraints”, in EAGE Annual Conference Proceedings, 2005.
Ernie Esser, Rongrong Wang, Tim T.Y. Lin, and Felix J. Herrmann, “Resolving scaling ambiguities with the L1/L2 norm in a blind deconvolution problem with feedback”, SINBAD Fall consortium talks. SINBAD, 2015.
Ernie Esser, Rongrong Wang, Tim T.Y. Lin, and Felix J. Herrmann, “Resolving scaling ambiguities with the $\ell_1/\ell_2$ norm in a blind deconvolution problem with feedback”, in IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015, pp. 365-368.
Mengmeng Yang, Rajiv Kumar, Rongrong Wang, and Felix J. Herrmann, “Removing density effects in LS-RTM with a low-rank matched filter”, in SEG Technical Program Expanded Abstracts, 2018, pp. 4251-4255.
Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, and Felix J. Herrmann, “Reliable amortized variational inference with physics-based latent distribution correction”, Geophysics, vol. 88, 2023.
Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, and Felix J. Herrmann, “Reliable amortized variational inference with conditional normalizing flows via physics-based latent distribution correction”, in IMAGE Workshop on Subsurface Uncertainty Description and Estimation - Moving Away from Single Prediction with Distribution Learning, 2022.

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