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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.
Gilles Hennenfent, “Sampling and reconstruction of seismic wavefields in the curvelet domain”, The University of British Columbia, Vancouver, 2008.
R
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, and Tristan van Leeuwen, “Robust inversion via semistochastic dimensionality reduction”, in ICASSP, 2012, pp. 5245-5248.
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.
Michael P. Friedlander, “Robust inversion, data-fitting, and inexact gradient methods”, SINBAD Fall consortium talks. SINBAD, 2011.
Aleksandr Y. Aravkin, Tristan van Leeuwen, and Felix J. Herrmann, “Robust FWI using Student's t-distribution”, in ICIAM, 2011.
Aleksandr Y. Aravkin, “Robust FWI using Student's t-distribution”, SINBAD Spring consortium talks. SINBAD, 2011.
Aleksandr Y. Aravkin, “Robust FWI using Student's t & robust source estimation”, SINBAD Fall consortium talks. SINBAD, 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.
Tim T.Y. Lin, “Robust EPSI in a curvelet-like representation domain”, SINBAD Spring consortium talks. SINBAD, 2011.
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.
Peyman P. Moghaddam, “Reverse-time migration amplitude recovery with curvelets”, in SINBAD 2008, 2008.
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.
Gilles Hennenfent, “Reproducible research in computational (geo)sciences”, in Graduate seminar series, 2007.
Sergey Fomel and Gilles Hennenfent, “Reproducible computational experiments using scons”, in ICASSP, 2007.
Gilles Hennenfent and Sean Ross-Ross, “Repro: a Python package for automating reproducible research in scientific computing”. 2008.

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