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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, Rafael Orozco, Ziyi Yin, and Felix J. Herrmann, “An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring”. 2024.
Abhinav Prakash Gahlot, Mathias Louboutin, Ziyi Yin, and Felix J. Herrmann, “Time-lapse seismic monitoring of geological carbon storage with the nonlinear joint recovery model”, ML4SEISMIC Partners Meeting. 2023.
Abhinav Prakash Gahlot, Haoyun Li, and Felix J. Herrmann, “Optimizing CO2 Storage Monitoring with Enhanced Rock Physics Modeling and Optimal Pressure Control”, in CCUS 2025 - Carbon Capture, Utilization, and Storage Conference, 2025.
Abhinav Prakash Gahlot, Rafael Orozco, Haoyun Li, Huseyin Tuna Erdinc, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “DT4GCS — Digital Twin for Geological CO2 Storage and Control”, in Geophysical Research for Gigatonnes CO2 Storage, Colorado School of Mines, 2024.
Abhinav Prakash Gahlot, Haoyun Li, and Felix J. Herrmann, “Optimizing CO2 Storage Monitoring with Enhanced Rock Physics Modeling and Optimal Pressure Control”, in CCUS 2025 - Carbon Capture, Utilization, and Storage Conference, 2025.
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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 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, “Algorithms for large-scale sparse reconstruction”, in SINBAD 2008, 2008.
Michael P. Friedlander, “Active-set approaches to basis pursuit denoising”, in SIAM Optimization, 2008.
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, “Computing sparse and group-sparse approximations”, in VIET, Hanoi, Vietnam, 2009.
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 sparse optimization”, SINBAD Fall consortium talks. SINBAD, 2010.
Michael P. Friedlander, “Algorithms for large-scale sparse reconstruction”, in IEMS, Northwestern University, 2009.
Michael P. Friedlander and P. Tseng, “Exact regularization of convex programs”, SIAM Journal on Optimization, vol. 18, pp. 1326-1350, 2007.
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.
Lloyd Fenelon, “Nonequispaced discrete curvelet transform for seismic data reconstruction”, 2008.
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.

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