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Rayan Saab and Ozgur Yilmaz, “Sparse recovery by non-convex optimization - instance optimality”, Applied and Computational Harmonic Analysis, vol. 29, pp. 30-48, 2010.
Rayan Saab, Deli Wang, Ozgur Yilmaz, and Felix J. Herrmann, “Curvelet-based primary-multiple separation from a Bayesian perspective”, in SEG Technical Program Expanded Abstracts, 2007, vol. 26, pp. 2510-2514.
Rayan Saab, Rick Chartrand, and Ozgur Yilmaz, “Stable sparse approximations via nonconvex optimization”, in ICASSP, 2008.
Rayan Saab, “Curvelet-based primary-multiple separation from a Bayesian perspective”, in SINBAD 2008, 2008.
Rayan Saab and Ozgur Yilmaz, “A short note on non-convex compressed sensing”, in SAMPTA technical program, 2009.
Hamideh Sanavi, Peyman P. Moghaddam, and Felix J. Herrmann, “True amplitude depth migration using curvelets”, Geophysics, vol. 86, pp. S299-S310, 2021.
Challa S. Sastry, Gilles Hennenfent, and Felix J. Herrmann, “Recovery from unstructured data”, in SINBAD 2006, 2006.
Challa S. Sastry, Gilles Hennenfent, and Felix J. Herrmann, “Signal reconstruction from incomplete and misplaced measurements”, in EAGE Annual Conference Proceedings, 2007.
Challa S. Sastry, “Norm-one recovery from irregular sampled data”, in SINBAD 2007, 2007.
Mark Schmidt, “Hybrid stochastic-deterministic methods”, SINBAD Fall consortium talks. SINBAD, 2010.
Reza Shahidi, Gang Tang, Jianwei Ma, and Felix J. Herrmann, “Application of randomized sampling schemes to curvelet-based sparsity-promoting seismic data recovery”, Geophysical Prospecting, vol. 61, pp. 973-997, 2013.
Reza Shahidi and Felix J. Herrmann, “Curvelet-domain matched filtering with frequency-domain regularization”, in SEG Technical Program Expanded Abstracts, 2009, vol. 28, pp. 3645-3649.
Shashin Sharan, Rajiv Kumar, Diego S. Dumani, Mathias Louboutin, Rongrong Wang, Stanislav Emelianov, and Felix J. Herrmann, “Sparsity-promoting photoacoustic imaging with source estimation”, in 2018 IEEE International Ultrasonics Symposium (IUS), 2018, pp. 206-212.
Shashin Sharan, Rongrong Wang, Tristan van Leeuwen, and Felix J. Herrmann, “Sparsity-promoting joint microseismic source collocation and source-time function estimation”, in SEG Technical Program Expanded Abstracts, 2016, pp. 2574-2579.
Shashin Sharan, Rongrong Wang, and Felix J. Herrmann, “Fast sparsity-promoting microseismic source estimation”, Geophysical Journal International, vol. 216, pp. 164-181, 2019.
Shashin Sharan, Rongrong Wang, and Felix J. Herrmann, “Tracking the spatial-temporal evolution of fractures by microseismic source collocation”, SINBAD Fall consortium talks. SINBAD, 2017.
Shashin Sharan, “Large scale high-frequency seismic wavefield reconstruction, acquisition via rank minimization and sparsity-promoting source estimation”, Georgia Institute of Technology, Atlanta, 2020.
Shashin Sharan, Rongrong Wang, and Felix J. Herrmann, “Source collocation using the method of Linearized Bregman”, SINBAD Fall consortium talks. SINBAD, 2015.
Shashin Sharan, Rongrong Wang, and Felix J. Herrmann, “High resolution microseismic source collocation”, SINBAD Fall consortium talks. SINBAD, 2016.
Shashin Sharan, Yijun Zhang, Oscar Lopez, and Felix J. Herrmann, “Large scale high-frequency wavefield reconstruction with recursively weighted matrix factorizations”, TR-CSE-2020-4, 2020.
Shashin Sharan, Rajiv Kumar, Rongrong Wang, and Felix J. Herrmann, “A debiasing approach to microseismic”, in SEG Technical Program Expanded Abstracts, 2018, pp. 2942-2946.
Shashin Sharan, Rongrong Wang, and Felix J. Herrmann, “High resolution fast microseismic source collocation and source time function estimation”, in SEG Technical Program Expanded Abstracts, 2017, pp. 2778-2783.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, “A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification”, in EAGE Annual Conference Proceedings, 2020.
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, and Felix J. Herrmann, “Preconditioned training of normalizing flows for variational inference in inverse problems”, in 3rd Symposium on Advances in Approximate Bayesian Inference, 2021.
Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, and Felix J. Herrmann, “Reliable amortized variational inference with conditional normalizing flows via physics-based latent distribution correction”, in IMAGE Workshop on Subsurface Uncertainty Description and Estimation - Moving Away from Single Prediction with Distribution Learning, 2022.

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