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2025
Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems”, Inverse Problems, vol. 41, 2025.
2024
Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Bas Peters, and Felix J. Herrmann, “InvertibleNetworks.jl: A Julia package for scalable normalizing flows”, Journal of Open Source Software, vol. 9, 2024.
2023
Mathias Louboutin, Ziyi Yin, Rafael Orozco, Thomas J. Grady II, Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, Olav Møyner, Gerard J. Gorman, and Felix J. Herrmann, “Learned multiphysics inversion with differentiable programming and machine learning”, The Leading Edge, vol. 42, pp. 452-516, 2023.
Yijun Zhang, Ziyi Yin, Oscar Lopez, Ali Siahkoohi, Mathias Louboutin, Rajiv Kumar, and Felix J. Herrmann, “Optimized time-lapse acquisition design via spectral gap ratio minimization”, Geophysics, vol. 88, pp. A19-A23, 2023.
Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, and Felix J. Herrmann, “Reliable amortized variational inference with physics-based latent distribution correction”, Geophysics, vol. 88, 2023.
2022
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, “Deep Bayesian inference for seismic imaging with tasks”, Geophysics, vol. 87, pp. 281-302, 2022.
2021
Hamideh Sanavi, Peyman P. Moghaddam, and Felix J. Herrmann, “True amplitude depth migration using curvelets”, Geophysics, vol. 86, pp. S299-S310, 2021.
2020
Philipp A. Witte, Mathias Louboutin, Henryk Modzelewski, Charles Jones, James Selvage, and Felix J. Herrmann, “An Event-Driven Approach to Serverless Seismic Imaging in the Cloud”, IEEE Transactions on Parallel and Distributed Systems, vol. 31, pp. 2032-2049, 2020.
2019
Shashin Sharan, Rongrong Wang, and Felix J. Herrmann, “Fast sparsity-promoting microseismic source estimation”, Geophysical Journal International, vol. 216, pp. 164-181, 2019.
Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “The importance of transfer learning in seismic modeling and imaging”, Geophysics, 2019.
2018
Bas Peters, Brendan R. Smithyman, and Felix J. Herrmann, “Projection methods and applications for seismic nonlinear inverse problems with multiple constraints”, Geophysics, vol. 84, pp. R251-R269, 2018.
2017
Rajiv Kumar, Haneet Wason, Shashin Sharan, and Felix J. Herrmann, “Highly repeatable 3D compressive full-azimuth towed-streamer time-lapse acquisition –- a numerical feasibility study at scale”, The Leading Edge, vol. 36, pp. 677-687, 2017.
2013
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.
Felix J. Herrmann, Andrew J. Calvert, Ian Hanlon, Mostafa Javanmehri, Rajiv Kumar, Tristan van Leeuwen, Xiang Li, Brendan R. Smithyman, Eric Takam Takougang, and Haneet Wason, “Frugal full-waveform inversion: from theory to a practical algorithm”, The Leading Edge, vol. 32, pp. 1082-1092, 2013.
2012
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, 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.
2010
Rayan Saab and Ozgur Yilmaz, “Sparse recovery by non-convex optimization - instance optimality”, Applied and Computational Harmonic Analysis, vol. 29, pp. 30-48, 2010.
2009
Ewout van den Berg, Michael P. Friedlander, Gilles Hennenfent, Felix J. Herrmann, Rayan Saab, and Ozgur Yilmaz, “Sparco: a testing framework for sparse reconstruction”, ACM Transactions on Mathematical Software, vol. 35, pp. 1-16, 2009.
2008
Deli Wang, Rayan Saab, Ozgur Yilmaz, and Felix J. Herrmann, “Bayesian wavefield separation by transform-domain sparsity promotion”, Geophysics, vol. 73, pp. 1-6, 2008.
Felix J. Herrmann, Peyman P. Moghaddam, and Christiaan C. Stolk, “Sparsity- and continuity-promoting seismic image recovery with curvelet frames”, Applied and Computational Harmonic Analysis, vol. 24, pp. 150-173, 2008.
2007
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.