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Zhilong Fang, Curt Da Silva, and Felix J. Herrmann, “Fast uncertainty quantification for 2D full-waveform inversion with randomized source subsampling”, in EAGE Annual Conference Proceedings, 2014.
Zhilong Fang, Chia Ying Lee, and Felix J. Herrmann, “A stochastic quasi-Newton McMC method for uncertainty quantification of full-waveform inversion”, SINBAD Spring consortium talks. SINBAD, 2014.
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, Bas Peters, and Felix J. Herrmann, “Wavefield-reconstruction inversion with source estimation and minimum smoothness constraint – application to the Chevron 2014 dataset”, SINBAD Fall consortium talks. SINBAD, 2015.
Zhilong Fang and Felix J. Herrmann, “Uncertainty analysis for FWI”, SINBAD Fall consortium talks. SINBAD, 2013.
Zhilong Fang, Chia Ying Lee, Curt Da Silva, Felix J. Herrmann, and Rachel Kuske, “Uncertainty quantification for Wavefield Reconstruction Inversion”, SINBAD Fall consortium talks. SINBAD, 2014.
Zhilong Fang, Henryk Modzelewski, Tristan van Leeuwen, Thomas Lai, Harsh Juneja, Bas Peters, and Felix J. Herrmann, “Swift FWI”, SINBAD Fall consortium talks. SINBAD, 2013.
Zhilong Fang, Curt Da Silva, and Felix J. Herrmann, “An efficient penalty method for PDE-constrained optimization problem with source estimation and stochastic optimization”, in Applied Inverse Problems Annual Conference Proceedings, 2017, p. 40.
Lloyd Fenelon, “Nonequispaced discrete curvelet transform for seismic data reconstruction”, 2008.
Sergey Fomel and Gilles Hennenfent, “Reproducible computational experiments using scons”, in ICASSP, 2007.
Michael P. Friedlander, “Algorithms for large-scale sparse reconstruction”, in SINBAD 2008, 2008.
Michael P. Friedlander and Mark Schmidt, “Hybrid deterministic-stochastic methods for data fitting”, SIAM Journal on Scientific Computing, vol. 34, pp. A1380-A1405, 2012.
Michael P. Friedlander, “Randomized sampling: How confident are you?”, SINBAD Fall consortium talks. SINBAD, 2012.
Michael P. Friedlander, “Active-set approaches to basis pursuit denoising”, in SIAM Optimization, 2008.
Michael P. Friedlander, “Computing sparse and group-sparse approximations”, in VIET, Hanoi, Vietnam, 2009.
Michael P. Friedlander, “Robust inversion, data-fitting, and inexact gradient methods”, SINBAD Fall consortium talks. SINBAD, 2011.
Michael P. Friedlander, Hassan Mansour, Rayan Saab, and Ozgur Yilmaz, “Recovering compressively sampled signals using partial support information”, IEEE Transactions on Information Theory, vol. 58, pp. 1122-1134, 2012.
Michael P. Friedlander, “Introduction to Spot: a linear-operator toolbox”, SINBAD Fall consortium talks. SINBAD, 2010.
Michael P. Friedlander and M. A. Saunders, “Discussion: the Dantzig selector: statistical estimation when p is much larger than n”, The Annals of Statistics, vol. 35, pp. 2385-2391, 2007.
Michael P. Friedlander, “Algorithms for large-scale sparse reconstruction”, in IEMS, Northwestern University, 2009.
Michael P. Friedlander and M. A. Saunders, “Active-set methods for basis pursuit”, in WCOM, 2008.
Michael P. Friedlander, “Algorithms for sparse optimization”, SINBAD Fall consortium talks. SINBAD, 2010.
Michael P. Friedlander and P. Tseng, “Exact regularization of convex programs”, SIAM Journal on Optimization, vol. 18, pp. 1326-1350, 2007.
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.
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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.

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