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E
E. Cirakman, Huseyin Tuna Erdinc, and Felix J. Herrmann, “Efficient and scalable posterior surrogate for seismic inversion via wavelet score-based generative models”, in International Meeting for Applied Geoscience and Energy, 2025.
Felix J. Herrmann and Xiang Li, “Efficient least-squares imaging with sparsity promotion and compressive sensing”, Geophysical Prospecting, vol. 60, pp. 696-712, 2012.
Felix J. Herrmann and Xiang Li, “Efficient least-squares migration with sparsity promotion”, in EAGE Annual Conference Proceedings, 2011.
Yunlin Zeng, Rafael Orozco, Ziyi Yin, and Felix J. Herrmann, “Enhancing Full-Waveform Variational Inference through Stochastic Resampling and Data Augmentation”, in International Meeting for Applied Geoscience and Energy, 2024.
Yunlin Zeng, Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “Enhancing Full-Waveform Variational Inference through Stochastic Resampling”, ML4SEISMIC Partners Meeting. 2024.
S. Zeng, Huseyin Tuna Erdinc, Ziyi Yin, Abhinav Prakash Gahlot, and Felix J. Herrmann, “Enhancing Performance with Uncertainty Estimation in Geological Carbon Storage Leakage Detection from Time-Lapse Seismic Data”, ML4SEISMIC Partners Meeting. 2024.
Abhinav Prakash Gahlot and Felix J. Herrmann, “Enhancing robustness of Digital Shadow for CO 2 Storage Monitoring with Augmented Rock Physics Modeling”. 2025.
Philipp A. Witte, Mathias Louboutin, Henryk Modzelewski, Charles Jones, James Selvage, and Felix J. Herrmann, “An Event-Driven Approach to Serverless Seismic Imaging in the Cloud”, IEEE Transactions on Parallel and Distributed Systems, vol. 31, pp. 2032-2049, 2020.
Philipp A. Witte, Mathias Louboutin, Henryk Modzelewski, Charles Jones, James Selvage, and Felix J. Herrmann, “Event-driven workflows for large-scale seismic imaging in the cloud”, in SEG Technical Program Expanded Abstracts, 2019, pp. 3984-3988.
F
Ning Tu, Aleksandr Y. Aravkin, Tristan van Leeuwen, and Felix J. Herrmann, “Fast least-squares migration with multiples and source estimation”, in EAGE Annual Conference Proceedings, 2013.
Yunlin Zeng, Huseyin Tuna Erdinc, Rafael Orozco, and Felix J. Herrmann, “Full-waveform variational inference with common-image gathers”, in International Meeting for Applied Geoscience and Energy, 2025.
I
S. Zeng, Rafael Orozco, Huseyin Tuna Erdinc, and Felix J. Herrmann, “Image Impeccable Challenge: An Effective Machine Learning Denoising Method for 3D Seismic Volumes”, ML4SEISMIC Partners Meeting. 2024.
Ning Tu and Felix J. Herrmann, “Imaging with multiples accelerated by message passing”, in SEG Technical Program Expanded Abstracts, 2012, vol. 31, pp. 1-6.
Felix J. Herrmann, “Imaging/Inversion with irregular/random sampled spatial arrays”, in SEG-AGU Workshop on Advances in Active + Passive "Full Wavefield" Seismic Imaging: From Reservoirs to Plate Tectonics, 2014.
Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “The importance of transfer learning in seismic modeling and imaging”, Geophysics, 2019.
Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “Improved seismic monitoring of CO2 sequestration with the weighted joint recovery model”, ML4SEISMIC Partners Meeting. 2021.
Joost van der Neut, Felix J. Herrmann, and Kees Wapenaar, “Interferometric redatuming with simultaneous and missing sources using sparsity promotion in the curvelet domain”, in SEG Technical Program Expanded Abstracts, 2012, vol. 31, pp. 1-7.
Abhinav Prakash Gahlot, Bhar, I., and Felix J. Herrmann, “It's All in the Context: Sensitivity-Aware Digital Twins for Underground Storage”, in SIAM Conference on Mathematical & Computational Issues in the Geosciences, Baton Rouge, 2025.
L
Mathias Louboutin, Kartha, Y., Rafael Orozco, and Felix J. Herrmann, “Learned extensions for wave-based simulation and inversion”, ML4SEISMIC Partners Meeting. 2022.
Felix J. Herrmann, Ali Siahkoohi, and Gabrio Rizzuti, “Learned imaging with constraints and uncertainty quantification”, HotCSE Seminar. 2019.
Felix J. Herrmann, Ali Siahkoohi, and Gabrio Rizzuti, “Learned imaging with constraints and uncertainty quantification”, in Neural Information Processing Systems (NeurIPS), 2019.
Mathias Louboutin, Ziyi Yin, Rafael Orozco, Thomas J. Grady II, Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, Olav Møyner, Gerard J. Gorman, and Felix J. Herrmann, “Learned multiphysics inversion with differentiable programming and machine learning”, The Leading Edge, vol. 42, pp. 452-516, 2023.
Mathias Louboutin, Rafael Orozco, Ali Siahkoohi, and Felix J. Herrmann, “Learned non-linear simultenous source and corresponding supershot for seismic imaging.”, in International Meeting for Applied Geoscience and Energy, 2023.
Felix J. Herrmann, Mathias Louboutin, Ziyi Yin, and Philipp A. Witte, “Low-cost time-lapse seismic imaging of CCS with the joint recovery model”, in SEG Workshop on Geophysical Challenges in Presalt Carbonates; virtual, 2021.
M
Rafael Orozco, Huseyin Tuna Erdinc, Souza, T., Yunlin Zeng, Ziyi Yin, and Felix J. Herrmann, “Machine-learning enabled velocity-model building with uncertainty quantification”, ML4SEISMIC Partners Meeting. 2024.

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