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Zhilong Fang, Curt Da Silva, Rachel Kuske, and Felix J. Herrmann, “Uncertainty quantification for inverse problems with weak partial-differential-equation constraints”, Geophysics, vol. 83, pp. R629-R647, 2018.
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, “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, “Algorithms for large-scale sparse reconstruction”, in IEMS, Northwestern University, 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 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.
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.
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, Bhar, I., and Felix J. Herrmann, “It's All in the Context: Sensitivity-Aware Digital Twins for Underground Storage”, in SIAM Conference on Mathematical & Computational Issues in the Geosciences, Baton Rouge, 2025.
Abhinav Prakash Gahlot, Rafael Orozco, and Felix J. Herrmann, “Advancing Geological Carbon Storage Monitoring with 3D Digital Shadow Technology”. 2025.
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, Haoyun Li, Bhar, I., Huseyin Tuna Erdinc, Rafael Orozco, Ziyi Yin, and Felix J. Herrmann, “Context-aware Digital Twin for Underground Storage”, in Artificial Intelligence and Digital Twins for Earth Systems 2025, Austin, TX, 2025.
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”, Geophysical Journal International, 2025.
Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, and Felix J. Herrmann, “Sensitivity-aware rock physics enhanced digital shadow for underground-energy storage monitoring”, in International Meeting for Applied Geoscience and Energy, 2025.
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.

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