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I. Bhar, Huseyin Tuna Erdinc, Souza, T., Rafael Orozco, and Felix J. Herrmann, “Seismic Dataset Curation from UK National Data Repository to Validate SAGE and WISE”, in ML4SEISMIC Partners Meeting, 2025.
Ali Siahkoohi, Rajiv Kumar, and Felix J. Herrmann, “Seismic data reconstruction with Generative Adversarial Networks”, in EAGE Annual Conference Proceedings, 2018.
Felix J. Herrmann, Deli Wang, Gilles Hennenfent, and Peyman P. Moghaddam, “Seismic data processing with curvelets: a multiscale and nonlinear approach”, in SEG Technical Program Expanded Abstracts, 2007, vol. 26, pp. 2220-2224.
James Johnson and Gilles Hennenfent, “Seismic data interpolation with symmetry”, in SINBAD 2008, 2008.
Rajiv Kumar, Aleksandr Y. Aravkin, Hassan Mansour, Ben Recht, and Felix J. Herrmann, “Seismic data interpolation and denoising using SVD-free low-rank matrix factorization”, in EAGE Annual Conference Proceedings, 2013.
Peyman P. Moghaddam, Felix J. Herrmann, and Christiaan C. Stolk, “Seismic amplitude recovery with curvelets”, in EAGE Annual Conference Proceedings, 2007.
Felix J. Herrmann, “Scaling and seismic reflectivity: implications of scaling on AVO”, in EAGE Annual Conference Proceedings, 2001.
Huseyin Tuna Erdinc, Bhar, I., Souza, T., Rafael Orozco, and Felix J. Herrmann, “SAGE - Subsurface modeling with AI-driven Geostatistical Extraction and evaluation on North Sea Data”, in ML4SEISMIC Partners Meeting, 2025.
Huseyin Tuna Erdinc, Souza, T., and Felix J. Herrmann, “SAGE — Subsurface foundational model with AI-driven Geostatistical Extraction”, in EAGE Workshop, 2025.
Huseyin Tuna Erdinc, Bhar, I., Rafael Orozco, Souza, T., and Felix J. Herrmann, “SAGE: Subsurface AI-driven Geostatistical Extraction with proxy posterior”, in International Meeting for Applied Geoscience and Energy, 2026.
Tim T.Y. Lin and Felix J. Herrmann, “Robust source signature deconvolution and the estimation of primaries by sparse inversion”, in SEG Technical Program Expanded Abstracts, 2011, vol. 30, pp. 4354-4359.
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.
Aleksandr Y. Aravkin, Michael P. Friedlander, and Tristan van Leeuwen, “Robust inversion via semistochastic dimensionality reduction”, in ICASSP, 2012, pp. 5245-5248.
Aleksandr Y. Aravkin, Tristan van Leeuwen, and Felix J. Herrmann, “Robust FWI using Student's t-distribution”, in ICIAM, 2011.
Aleksandr Y. Aravkin, Tristan van Leeuwen, and Felix J. Herrmann, “Robust full-waveform inversion using the Student's t-distribution”, in SEG Technical Program Expanded Abstracts, 2011, vol. 30, pp. 2669-2673.
Felix J. Herrmann, Abhinav Prakash Gahlot, Rafael Orozco, Ziyi Yin, and Grant Bruer, “Robust Digital Twin for Geological Carbon Storage”, in SIAM Conference on Computational Science and Engineering (CSE25), 2025.
Felix J. Herrmann and D. J. Verschuur, “Robust curvelet-domain primary-multiple separation with sparseness constraints”, in EAGE Annual Conference Proceedings, 2005.
Felix J. Herrmann and Gilles Hennenfent, “Robust curvelet-domain data continuation with sparseness constraints”, in EAGE Annual Conference Proceedings, 2005.
Haoyun Li, Abhinav Prakash Gahlot, and Felix J. Herrmann, “Risk-Aware Injectivity Control for Energy Storage”, in ML4SEISMIC Partners Meeting, 2025.
Peyman P. Moghaddam, “Reverse-time migration amplitude recovery with curvelets”, in SINBAD 2008, 2008.
Ernie Esser, Rongrong Wang, Tim T.Y. Lin, and Felix J. Herrmann, “Resolving scaling ambiguities with the $\ell_1/\ell_2$ norm in a blind deconvolution problem with feedback”, in IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015, pp. 365-368.
Gilles Hennenfent, “Reproducible research in computational (geo)sciences”, in Graduate seminar series, 2007.
Sergey Fomel and Gilles Hennenfent, “Reproducible computational experiments using scons”, in ICASSP, 2007.
Mengmeng Yang, Rajiv Kumar, Rongrong Wang, and Felix J. Herrmann, “Removing density effects in LS-RTM with a low-rank matched filter”, in SEG Technical Program Expanded Abstracts, 2018, pp. 4251-4255.
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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