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Felix J. Herrmann, “Digital twins in the era of generative AI”, The Leading Edge, vol. 42, 2023.
Abhinav Prakash Gahlot, Haoyun Li, Ziyi Yin, Rafael Orozco, and Felix J. Herrmann, “A Digital Twin for Geological Carbon Storage with Controlled Injectivity”, in International Meeting for Applied Geoscience and Energy, 2024.
Abhinav Prakash Gahlot, Haoyun Li, Ziyi Yin, Rafael Orozco, and Felix J. Herrmann, “A Digital Twin for Geological Carbon Storage with Controlled Injectivity”, ML4SEISMIC Partners Meeting. 2024.
Mathias Louboutin, Michael Lange, Fabio Luporini, Navjot Kukreja, Philipp A. Witte, Felix J. Herrmann, Paulius Velesko, and Gerard J. Gorman, “Devito (v3.1.0): an embedded domain-specific language for finite differences and geophysical exploration”, Geoscientific Model Development, 2019.
Marcos de Aguiar, Gerard Gorman, Felix J. Herrmann, Navjot Kukreja, Michael Lange, Mathias Louboutin, and Felippe Vieira Zacarias, “DeVito: fast finite difference computation”, in Super Computing (SC16), 2016.
Emmanouil Daskalakis, Rachel Kuske, and Felix J. Herrmann, “Developments in the direction of solving extremly large problems in Geophysics”, in SEG Technical Program Expanded Abstracts, 2017, pp. 4375-4378.
Oscar Lopez and Felix J. Herrmann, “Deterministic matrix completion: applications to seismic trace interpolation”, SINBAD Spring consortium talks. SINBAD, 2015.
Tim T.Y. Lin and Felix J. Herrmann, “Designing simultaneous acquisitions with compressive sensing”, in EAGE Annual Conference Proceedings, 2009.
Felix J. Herrmann, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin, and Mathias Louboutin, “Derisking geological storage with simulation-based seismic monitoring design and machine learning”, in Carbon, Capture, Utilization, and Storage, 2023.
Ziyi Yin, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Mathias Louboutin, and Felix J. Herrmann, “Derisking geologic carbon storage from high-resolution time-lapse seismic to explainable leakage detection”, The Leading Edge, vol. 42, pp. 69-76, 2023.
Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “De-risking GCS projects with explainable CO$_2$ leakage detection in time-lapse seismic images”, ML4SEISMIC Partners Meeting. 2022.
Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “De-risking Carbon Capture and Sequestration with Explainable CO$_2$ Leakage Detection in Time-lapse Seismic Monitoring Images”, in AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges, 2022.
Tim T.Y. Lin, Haneet Wason, and Felix J. Herrmann, “Dense shot-sampling via time-jittered marine sources”, in SEG Workshop on Simultaneous Sources; Houston, 2013.
Rongrong Wang and Felix J. Herrmann, “Denoising the wavefield inversion problem through source blending and penalty method”, SINBAD Fall consortium talks. SINBAD, 2014.
Rajiv Kumar, Nick Moldoveanu, and Felix J. Herrmann, “Denoising high-amplitude cross-flow noise using curvelet-based stable principle component pursuit”, in EAGE Annual Conference Proceedings, 2017.
Rongrong Wang and Felix J. Herrmann, “A denoising formulation of full-waveform inversion”, in SEG Technical Program Expanded Abstracts, 2017, pp. 1594-1598.
Felix J. Herrmann, “(De)-Focused wavefield reconstructions”, in SINBAD 2008, 2008.
Ali Siahkoohi, Rajiv Kumar, and Felix J. Herrmann, “Deep-learning based ocean bottom seismic wavefield recovery”, in SEG Technical Program Expanded Abstracts, 2019, pp. 2232-2237.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, “A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification”, in EAGE Annual Conference Proceedings, 2020.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, “A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification”, GT SEG Student Chapter. 2020.
Ali Siahkoohi, Mathias Louboutin, Rajiv Kumar, and Felix J. Herrmann, “Deep Convolutional Neural Networks in prestack seismic–-two exploratory examples”, in SEG Technical Program Expanded Abstracts, 2018, pp. 2196-2200.
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, and Felix J. Herrmann, “Deep Bayesian Inference for Task-based Seismic Imaging”, in KAUST, 2021.
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, “Deep Bayesian inference for seismic imaging with tasks”, Geophysics, vol. 87, pp. 281-302, 2022.
Vishal Kumar and Felix J. Herrmann, “Deconvolution with curvelet-domain sparsity”, in SEG Technical Program Expanded Abstracts, 2008, vol. 27, pp. 1996-2000.
Shashin Sharan, Rajiv Kumar, Rongrong Wang, and Felix J. Herrmann, “A debiasing approach to microseismic”, in SEG Technical Program Expanded Abstracts, 2018, pp. 2942-2946.

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