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Conference
Felix J. Herrmann, “Randomized algorithms in seismic imaging”, in Inaugural Full-Waveform Inversion Workshop, 2015.
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.
Haoyun Li, Abhinav Prakash Gahlot, and Felix J. Herrmann, “Risk-Aware Injectivity Control for Energy Storage”, in ML4SEISMIC Partners Meeting, 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.
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., 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.
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, Philipp A. Witte, Mathias Louboutin, Felix J. Herrmann, and Gabrio Rizzuti, “Seismic Imaging with Uncertainty Quantification: Sampling from the Posterior with Generative Networks”, in SIAM Conference on Imaging Science, 2020.
S. Zeng, Yunlin Zeng, Abhinav Prakash Gahlot, Deng, Z., and Felix J. Herrmann, “Self-attention summary networks for subsurface velocity-model building from common-image gathers”, in International Meeting for Applied Geoscience and Energy, 2026.
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.
Aleksandr Y. Aravkin, Tristan van Leeuwen, and Ning Tu, “Sparse seismic imaging using variable projection”, in ICASSP, 2013.
Xiang Li and Felix J. Herrmann, “Sparsity-promoting migration accelerated by message passing”, in SEG Technical Program Expanded Abstracts, 2012, vol. 31, pp. 1-6.
Ning Tu, Tim T.Y. Lin, and Felix J. Herrmann, “Sparsity-promoting migration with surface-related multiples”, in EAGE Annual Conference Proceedings, 2011.
Z. Deng, Rafael Orozco, Abhinav Prakash Gahlot, and Felix J. Herrmann, “Time-lapse full-waveform inversion with uncertainty quantification”, in ML4SEISMIC Partners Meeting, 2025.
Z. Deng, Rafael Orozco, Abhinav Prakash Gahlot, and Felix J. Herrmann, “Time-lapse full-waveform inversion with uncertainty quantification”, in International Meeting for Applied Geoscience and Energy, 2025.
Huseyin Tuna Erdinc, Souza, T., Zeng, S., Rafael Orozco, and Felix J. Herrmann, “Towards foundation models for subsurface priors and posteriors”, in Workshop on Scientific Machine Learning 2025, Austin, TX, 2025.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, “Uncertainty quantification in imaging and automatic horizon tracking—a Bayesian deep-prior based approach”, in SEG Technical Program Expanded Abstracts, 2020, pp. 1636-1640.
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, Haoyun Li, and Felix J. Herrmann, “Uncertainty-aware Digital Twins for Monitoring and Optimizing of Underground Energy Operations”, in Landmark Innovation Forum & Expo 2026, LIFE2026, Orlando, FL, 2026.
Abhinav Prakash Gahlot, Haoyun Li, and Felix J. Herrmann, “Uncertainty-aware Digital Twins for Monitoring and Optimizing of Geological Carbon Storage”, in Net-Zero Emissions: Critical Minerals, Hydrogen, Nuclear, Geothermal, Wind, CCUS, and AI, SEG Workshop, 2026.
Richard Rex, Ziyi Yin, and Felix J. Herrmann, “Velocity Continuation for Common Image Gathers with Fourier Neural Operators”, in International Meeting for Applied Geoscience and Energy, 2024.
Bas Peters, Felix J. Herrmann, and Tristan van Leeuwen, “Wave-equation based inversion with the penalty method: adjoint-state versus wavefield-reconstruction inversion”, in EAGE Annual Conference Proceedings, 2014.
E. Cirakman, Huseyin Tuna Erdinc, and Felix J. Herrmann, “Wavelet whitened patch-based diffusion prior for velocity models”, in International Meeting for Applied Geoscience and Energy, 2026.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “WISER: full-Waveform variational Inference via Subsurface Extensions with Refinements”, in International Meeting for Applied Geoscience and Energy, 2024.
Journal Article
Felix J. Herrmann, Cody R. Brown, Yogi A. Erlangga, and Peyman P. Moghaddam, “Curvelet-based migration preconditioning and scaling”, Geophysics, vol. 74, pp. A41-A46, 2009.

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