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2019
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.
Shashin Sharan, Rongrong Wang, and Felix J. Herrmann, “Fast sparsity-promoting microseismic source estimation”, Geophysical Journal International, vol. 216, pp. 164-181, 2019.
Bas Peters and Felix J. Herrmann, “Generalized Minkowski sets for the regularization of inverse problems”, in SIAM Conference on Mathematical and Computational Issues in the Geosciences, 2019.
Bas Peters and Felix J. Herrmann, “Generalized Minkowski sets for the regularization of inverse problems”, arXiv e-prints, 2019.
Philipp A. Witte, Mathias Louboutin, Navjot Kukreja, Fabio Luporini, Michael Lange, Gerard J. Gorman, and Felix J. Herrmann, “Geophysics Bright Spots: Efficient coding of large-scale seismic inversion algorithms”, The Leading Edge, vol. 38, pp. 482-484, 2019.
Yijun Zhang, Shashin Sharan, and Felix J. Herrmann, “High-frequency wavefield recovery with weighted matrix factorizations”, in SEG Technical Program Expanded Abstracts, 2019, pp. 3959-3963.
Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “The importance of transfer learning in seismic modeling and imaging”, Geophysics, 2019.
Philipp A. Witte, Mathias Louboutin, Navjot Kukreja, Fabio Luporini, Michael Lange, Gerard J. Gorman, and Felix J. Herrmann, “A large-scale framework for symbolic implementations of seismic inversion algorithms in Julia”, Geophysics, vol. 84, pp. F57-F71, 2019.
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.
Gabrio Rizzuti, Ali Siahkoohi, and Felix J. Herrmann, “Learned iterative solvers for the Helmholtz equation”, in EAGE Annual Conference Proceedings, 2019.
Mengmeng Yang, Marie Graff, Rajiv Kumar, and Felix J. Herrmann, “Low-rank representation of subsurface extended image volumes with power iterations”, in SEG Technical Program Expanded Abstracts, 2019, pp. 4470-4474.
Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “Neural network augmented wave-equation simulation”, Georgia Institute of Technology, TR-CSE-2019-1, 2019.
Bas Peters and Felix J. Herrmann, “A numerical solver for least-squares sub-problems in 3D wavefield reconstruction inversion and related problem formulations”, in SEG Technical Program Expanded Abstracts, 2019, pp. 1536-1540.
Felix J. Herrmann, “Sometimes it pays to be cheap – Compressive time-lapse seismic data acquisition”, SEG Distinguished Lecture. Society of Exploration Geophysicists, 2019.
Ali Siahkoohi, Dirk J. Verschuur, and Felix J. Herrmann, “Surface-related multiple elimination with deep learning”, in SEG Technical Program Expanded Abstracts, 2019, pp. 4629-4634.
Rajiv Kumar, Marie Graff-Kray, Ivan Vasconcelos, and Felix J. Herrmann, “Target-oriented imaging using extended image volumes—a low-rank factorization approach”, Geophysical Prospecting, vol. 67, pp. 1312-1328, 2019.
Curt Da Silva and Felix J. Herrmann, “A unified 2D/3D large scale software environment for nonlinear inverse problems”, ACM Transactions on Mathematical Software, 2019.
2018
Ali M. Alfaraj, Rajiv Kumar, and Felix J. Herrmann, “Automatic statics and residual statics correction with low-rank approximation”, in EAGE Annual Conference Proceedings, 2018.
Rajiv Kumar, Shashin Sharan, Nick Moldoveanu, and Felix J. Herrmann, “Compressed sensing based land simultaneous acquisition using encoded sweeps”, in EAGE Annual Conference Proceedings, 2018.
Nick Moldoveanu, Philip Bilsby, John Quigley, Rajiv Kumar, and Felix J. Herrmann, “Compressive sensing based design for land and OBS surveys: The noise issue”, in SEG Technical Program Expanded Abstracts, 2018, pp. 102-106.
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.
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.
Mathias Louboutin, Philipp A. Witte, and Felix J. Herrmann, “Effects of wrong adjoints for RTM in TTI media”, in SEG Technical Program Expanded Abstracts, 2018, pp. 331-335.
Mathias Louboutin, Philipp A. Witte, Michael Lange, Navjot Kukreja, Fabio Luporini, Gerard Gorman, and Felix J. Herrmann, “Full-Waveform Inversion - Part 2: adjoint modeling”, The Leading Edge, vol. 37, pp. 69-72, 2018.

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