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Ernie Esser, Lluís Guasch, Tristan van Leeuwen, Aleksandr Y. Aravkin, and Felix J. Herrmann, “Total-variation regularization strategies in full-waveform inversion”, SIAM Journal on Imaging Sciences, vol. 11, pp. 376-406, 2018.
Rafael Lago and Felix J. Herrmann, “Towards a robust geometric multigrid scheme for Helmholtz equation”, UBC, TR-EOAS-2015-3, 2015.
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.
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “Towards generative seismic kriging with normalizing flows”, ML4SEISMIC Partners Meeting. 2023.
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.
Mi Zhang, Ali Siahkoohi, and Felix J. Herrmann, “Transfer learning in large-scale ocean bottom seismic wavefield reconstruction”, in SEG Technical Program Expanded Abstracts, 2020, pp. 1666-1670.
Hamideh Sanavi, Peyman P. Moghaddam, and Felix J. Herrmann, “True amplitude depth migration using curvelets”, Geophysics, vol. 86, pp. S299-S310, 2021.
Richard Rex, Avasarala, S., Grady, T., and Felix J. Herrmann, “Tucker Compression for Scalable Operator Learning in Large-Scale Parametric PDE Models”, ML4SEISMIC Partners Meeting. 2024.
Rongrong Wang and Felix J. Herrmann, “Two methods for frequency down-extrapolation”, SINBAD Fall consortium talks. SINBAD, 2016.
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Mathias Louboutin and Felix J. Herrmann, “Ultra-low memory seismic inversion with randomized trace estimation”, in SEG Technical Program Expanded Abstracts, 2021, pp. 787-791.
Zhilong Fang and Felix J. Herrmann, “Uncertainty analysis for FWI”, SINBAD Fall consortium talks. SINBAD, 2013.
Zhilong Fang, Curt Da Silva, Rachel Kuske, and Felix J. Herrmann, “Uncertainty quantification for inverse problems with a weak wave-equation constraint”, in WAVES 2017 –- 13th International Conference on Mathematical and Numerical Aspects of Wave Propagation, 2017, pp. 127-128.
Zhilong Fang, Curt Da Silva, Rachel Kuske, and Felix J. Herrmann, “Uncertainty quantification for inverse problems with weak partial-differential-equation constraints”, Geophysics, vol. 83, pp. R629-R647, 2018.
Zhilong Fang, Chia Ying Lee, Curt Da Silva, Felix J. Herrmann, and Rachel Kuske, “Uncertainty quantification for Wavefield Reconstruction Inversion”, SINBAD Fall consortium talks. SINBAD, 2014.
Zhilong Fang, Chia Ying Lee, Curt Da Silva, Tristan van Leeuwen, and Felix J. Herrmann, “Uncertainty quantification for Wavefield Reconstruction Inversion using a PDE free semidefinite Hessian and randomize-then-optimize method”, in SEG Technical Program Expanded Abstracts, 2016, pp. 1390-1394.
Zhilong Fang, Chia Ying Lee, Curt Da Silva, Felix J. Herrmann, and Rachel Kuske, “Uncertainty quantification for Wavefield Reconstruction Inversion”, in EAGE Annual Conference Proceedings, 2015.
Zhilong Fang, Chia Ying Lee, Curt Da Silva, Felix J. Herrmann, and Rachel Kuske, “Uncertainty quantification for Wavefield Reconstruction Inversion”, in Inaugural Full-Waveform Inversion Workshop, 2015.
Zhilong Fang, Chia Ying Lee, Curt Da Silva, Felix J. Herrmann, and Rachel Kuske, “Uncertainty quantification for Wavefield-Reconstruction Inversion using a positive-definite approximated Hessian”, SINBAD Fall consortium talks. SINBAD, 2015.
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.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, “Uncertainty quantification in imaging and automatic horizon tracking—a Bayesian deep-prior based approach”, ML4SEISMIC Partners Meeting. 2021.
Rafael Orozco, Mathias Louboutin, Peng Chen, and Felix J. Herrmann, “Uncertainty quantification so what? Leveraging probabilistic seismic inversion for experimental design”, ML4SEISMIC Partners Meeting. 2023.
Abhinav Prakash Gahlot, Rafael Orozco, Ziyi Yin, and Felix J. Herrmann, “An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring”, Geophysical Journal International, 2025.
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.
Felix J. Herrmann, “Uncertainty-aware Digital Twin for Monitoring Geological Carbon Storage”, Direct Air Capture Center Meeting. 2022.
Felix J. Herrmann, “Uncertainty-aware machine-learning enabled velocity-model building with Devito”, in 18th Annual Energy High Performance Computing Conference 2025, RICE, 2025, p. 4th Annual Devito User and Developer Workshop.

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