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Peyman P. Moghaddam, Cody R. Brown, and Felix J. Herrmann, “Curvelet-based migration preconditioning”, in SEG Technical Program Expanded Abstracts, 2008, vol. 27, pp. 2211-2215.
Peyman P. Moghaddam and Felix J. Herrmann, “Randomized full-waveform inversion: a dimenstionality-reduction approach”, in SEG Technical Program Expanded Abstracts, 2010, vol. 29, pp. 977-982.
Peyman P. Moghaddam and Felix J. Herrmann, “Migration preconditioning with curvelets”, in SEG Technical Program Expanded Abstracts, 2004, vol. 23, pp. 2204-2207.
Peyman P. Moghaddam, Felix J. Herrmann, and Christiaan C. Stolk, “Migration amplitude recovery using curvelets”, in CSEG Annual Conference Proceedings, 2007.
Peyman P. Moghaddam, Felix J. Herrmann, and Christiaan C. Stolk, “Sparsity and continuity enhancing seismic imaging”, in CSEG Annual Conference Proceedings, 2007.
Peyman P. Moghaddam, Felix J. Herrmann, and Christiaan C. Stolk, “Seismic amplitude recovery with curvelets”, in EAGE Annual Conference Proceedings, 2007.
Peyman P. Moghaddam, Felix J. Herrmann, and Christiaan C. Stolk, “Robust seismic-images amplitude recovery using curvelets”, in SEG Technical Program Expanded Abstracts, 2007, vol. 26, pp. 2225-2229.
Nick Moldoveanu, Philip Bilsby, John Quigley, Rajiv Kumar, and Felix J. Herrmann, “Compressive sensing based design for land and OBS surveys: The noise issue”, in SEG Technical Program Expanded Abstracts, 2018, pp. 102-106.
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Felix Oghenekohwo and Felix J. Herrmann, “Improved time-lapse data repeatability with randomized sampling and distributed compressive sensing”, in EAGE Annual Conference Proceedings, 2017.
Felix Oghenekohwo, Rajiv Kumar, and Felix J. Herrmann, “Randomized sampling without repetition in time-lapse surveys”, in SEG Technical Program Expanded Abstracts, 2014, pp. 4848-4852.
Felix Oghenekohwo, Rajiv Kumar, Ernie Esser, and Felix J. Herrmann, “Using common information in compressive time-lapse full-waveform inversion”, in EAGE Annual Conference Proceedings, 2015.
Felix Oghenekohwo, Ernie Esser, and Felix J. Herrmann, “Time-lapse seismic without repetition: reaping the benefits from randomized sampling and joint recovery”, in EAGE Annual Conference Proceedings, 2014.
Felix Oghenekohwo, Rajiv Kumar, Ernie Esser, and Felix J. Herrmann, “Time-lapse FWI with distributed compressed sensing”, in Inaugural Full-Waveform Inversion Workshop, 2015.
Felix Oghenekohwo and Felix J. Herrmann, “A new take on compressive time-lapse seismic acquisition, imaging and inversion”, in PIMS Workshop on Advances in Seismic Imaging and Inversion, 2015.
Felix Oghenekohwo and Felix J. Herrmann, “Compressive time-lapse seismic data processing using shared information”, in CSEG Annual Conference Proceedings, 2015.
Felix Oghenekohwo and Felix J. Herrmann, “Assessing the need for repeatability in acquisition of time-lapse data”, in CSEG Annual Conference Proceedings, 2013.
Ju-Won Oh, Dong-Joo Min, and Felix J. Herrmann, “Re-establishment of gradient in frequency-domain elastic waveform inversion”, in CSEG Annual Conference Proceedings, 2012.
Ju-Won Oh, Dong-Joo Min, and Felix J. Herrmann, “Frequency-domain elastic waveform inversion using weighting factors related to source-deconvolved residuals”, in EAGE Annual Conference Proceedings, 2012.
Rafael Orozco, Huseyin Tuna Erdinc, Mathias Louboutin, and Felix J. Herrmann, “Industry-Scale Uncertainty-Aware Full Waveform Inference with Generative Models”, in SIAM Conference on Computational Science and Engineering (CSE25), 2025.
Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, and Felix J. Herrmann, “Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification”, in SPIE Medical Imaging Conference, 2023.
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “Generative Seismic Kriging with Normalizing Flows”, in International Meeting for Applied Geoscience and Energy, 2023.
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “Amortized Bayesian Full Waveform Inversion and Experimental Design with Normalizing Flows”, in International Meeting for Applied Geoscience and Energy, 2023.
Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, and Felix J. Herrmann, “Amortized normalizing flows for transcranial ultrasound with uncertainty quantification”, in Medical Imaging with Deep Learning, 2023.
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “Fast neural FWI with amortized uncertainty quantification”, in International Meeting for Applied Geoscience and Energy, 2023.
Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics”, in 5th Symposium on Advances in Approximate Bayesian Inference, 2023.

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