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Abhinav Prakash Gahlot, Haoyun Li, Ziyi Yin, Rafael Orozco, and Felix J. Herrmann, “A Digital Twin for Geological Carbon Storage with Controlled Injectivity”, ML4SEISMIC Partners Meeting. 2024.
Abhinav Prakash Gahlot, Rafael Orozco, and Felix J. Herrmann, “Advancing Geological Carbon Storage Monitoring with 3D Digital Shadow Technology”. 2025.
Abhinav Prakash Gahlot, Ting-ying Yu, Rafael Orozco, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “Monitoring subsurface CO2 plumes with learned sequential Bayesian inference”, ML4SEISMIC Partners Meeting. 2023.
Navid Ghadermarzy, Ozgur Yilmaz, and Felix J. Herrmann, “Using prior support information in approximate message passing algorithms”, SINBAD Fall consortium talks. SINBAD, 2013.
Navid Ghadermarzy, Ozgur Yilmaz, and Felix J. Herrmann, “Wavefield reconstruction via randomized sampling”, SINBAD Fall consortium talks. SINBAD, 2014.
Navid Ghadermarzy, Hassan Mansour, and Ozgur Yilmaz, “Non-convex compressed sensing using partial support information”, Journal of Sampling Theory in Signal and Image Processing, vol. 13, pp. 249-270, 2014.
Navid Ghadermarzy, Ozgur Yilmaz, and Felix J. Herrmann, “Seismic trace interpolation with approximate message passing”, in SEG Technical Program Expanded Abstracts, 2014, pp. 3621-3626.
Navid Ghadermarzy, “Non-convex compressed sensing using partial support information”, SINBAD Fall consortium talks. SINBAD, 2012.
Navid Ghadermarzy, “Using prior support information in compressed sensing”, The University of British Columbia, Vancouver, 2013.
Gabriel Goh, Michael P. Friedlander, and Felix J. Herrmann, “Taming time through tangents”, SINBAD Fall consortium talks. SINBAD, 2013.
Gerard Gorman, Marcos de Aguiar, David Ham, Felix J. Herrmann, Paul H. J. Kelly, Navjot Kukreja, Michael Lange, Mathias Louboutin, Fabio Luporini, Paulius Velesko, Vincenzo Pandolfo, and Felippe Vieira Zacarias, “Open Performance portablE SeismiC Imaging–-OPESCI”, SINBAD Fall consortium talks. SINBAD, 2016.
Thomas J. Grady II, Rishi Khan, Mathias Louboutin, Ziyi Yin, Philipp A. Witte, Ranveer Chandra, Russell J. Hewett, and Felix J. Herrmann, “Model-Parallel Fourier Neural Operators as Learned Surrogates for Large-Scale Parametric PDEs”, Computers & Geosciences, vol. 178, p. 105402, 2023.
Thomas J. Grady II, Rishi Khan, Mathias Louboutin, Ziyi Yin, Philipp A. Witte, Ranveer Chandra, Russell J. Hewett, and Felix J. Herrmann, “Effective scaling of numerical surrogates via domain-decomposed Fourier neural operators”, ML4SEISMIC Partners Meeting. 2022.
Thomas J. Grady II, Rishi Khan, and Felix J. Herrmann, “Distributed Fourier Neural Operators”, ML4SEISMIC Partners Meeting. 2021.
Marie Graff-Kray, Rajiv Kumar, and Felix J. Herrmann, “Low-rank representation of omnidirectional subsurface extended image volumes”, SINBAD Fall consortium talks. SINBAD, 2017.
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Eldad Haber, Matthias Chung, and Felix J. Herrmann, “An effective method for parameter estimation with PDE constraints with multiple right hand sides”, SIAM Journal on Optimization, vol. 22, 2012.
Brock Hargreaves, Ozgur Yilmaz, and Felix J. Herrmann, “The bridge from orthogonal to redundant transforms and weighted $\ell_1$ optimization”, SINBAD Fall consortium talks. SINBAD, 2013.
Brock Hargreaves, “Analysis versus synthesis in weighted sparse recovery”, SINBAD Fall consortium talks. SINBAD, 2012.
Brock Hargreaves, “Sparse signal recovery: analysis and synthesis formulations with prior support information”, The University of British Columbia, Vancouver, 2014.
Gilles Hennenfent, “A primer on stable signal recovery”, in SINBAD, 2006.
Gilles Hennenfent, Ewout van den Berg, Michael P. Friedlander, and Felix J. Herrmann, “New insights into one-norm solvers from the Pareto curve”, Geophysics, vol. 73, pp. A23-A26, 2008.
Gilles Hennenfent and Felix J. Herrmann, “Application of stable signal recovery to seismic data interpolation”, in SEG Technical Program Expanded Abstracts, 2006, pp. 2797-2801.
Gilles Hennenfent, “New insights into one-norm solvers from the Pareto curve”, in SINBAD, 2008.
Gilles Hennenfent and Sean Ross-Ross, “Repro: a Python package for automating reproducible research in scientific computing”. 2008.
Gilles Hennenfent and Felix J. Herrmann, “One-norm regularized inversion: learning from the Pareto curve”, in SEG Technical Program Expanded Abstracts, 2008.

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