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Gilles Hennenfent, Felix J. Herrmann, and R. Neelamani, “Sparseness-constrained seismic deconvolution with curvelets”, in CSEG Annual Conference Proceedings, 2005.
Gilles Hennenfent, R. Neelamani, and Felix J. Herrmann, “Seismic deconvolution revisited with curvelet frames”, in EAGE Annual Conference Proceedings, 2005.
Gilles Hennenfent, “New insights into one-norm solvers from the Pareto curve”, in SINBAD, 2008.
Gilles Hennenfent, “Simply denoise: wavefield reconstruction via jittered undersampling”, in SINBAD 2008, 2008.
Gilles Hennenfent, “Reproducible research in computational (geo)sciences”, in Graduate seminar series, 2007.
Gilles Hennenfent, “Just denoise: nonlinear recovery from randomly sampled data”, in SINBAD 2007, 2007.
Gilles Hennenfent, “Basic Processing flows with SCons”, in SINBAD, 2006.
Gilles Hennenfent, “A primer on stable signal recovery”, in SINBAD, 2006.
Gilles Hennenfent, “A primer on sparsity transforms: curvelets and wave atoms”, in SINBAD 2006, 2006.
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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.
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.
Abhinav Prakash Gahlot, Rafael Orozco, Haoyun Li, Grant Bruer, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “An Uncertainty-Aware Digital Twin for Geological Carbon Storage”, in SIAM Conference on Uncertainty Quantification, 2024.
Abhinav Prakash Gahlot, Mathias Louboutin, and Felix J. Herrmann, “Time-lapse seismic monitoring of geological carbon storage with the nonlinear joint recovery model”, in International Meeting for Applied Geoscience and Energy, 2023.
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M. O. Frijlink, Reza Shahidi, Felix J. Herrmann, and R. G. van Borselen, “Comparison of standard adaptive subtraction and primary-multiple separation in the curvelet domain”, in EAGE Annual Conference Proceedings, 2010.
Michael P. Friedlander, “Algorithms for large-scale sparse reconstruction”, in IEMS, Northwestern University, 2009.
Michael P. Friedlander, “Computing sparse and group-sparse approximations”, in VIET, Hanoi, Vietnam, 2009.
Michael P. Friedlander, “Active-set approaches to basis pursuit denoising”, in SIAM Optimization, 2008.
Michael P. Friedlander, “Algorithms for large-scale sparse reconstruction”, in SINBAD 2008, 2008.
Michael P. Friedlander and M. A. Saunders, “Active-set methods for basis pursuit”, in WCOM, 2008.
Sergey Fomel and Gilles Hennenfent, “Reproducible computational experiments using scons”, in ICASSP, 2007.
Zhilong Fang, Chia Ying Lee, Curt Da Silva, Felix J. Herrmann, and Rachel Kuske, “Uncertainty quantification for Wavefield Reconstruction Inversion”, in EAGE Annual Conference Proceedings, 2015.
Zhilong Fang, Tim Burgess, and Felix J. Herrmann, “Stochastic optimization and its application to seismic inversion”, in Inaugural Full-Waveform Inversion Workshop, 2015.
Zhilong Fang, Chia Ying Lee, Curt Da Silva, Felix J. Herrmann, and Rachel Kuske, “Uncertainty quantification for Wavefield Reconstruction Inversion”, in Inaugural Full-Waveform Inversion Workshop, 2015.
Zhilong Fang and Felix J. Herrmann, “Wavefield Reconstruction Inversion with source estimation and its application to 2014 Chevron synthetic blind test dataset”, in Inaugural Full-Waveform Inversion Workshop, 2015.
Zhilong Fang, Chia Ying Lee, Curt Da Silva, Tristan van Leeuwen, and Felix J. Herrmann, “Uncertainty quantification for Wavefield Reconstruction Inversion using a PDE free semidefinite Hessian and randomize-then-optimize method”, in SEG Technical Program Expanded Abstracts, 2016, pp. 1390-1394.

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