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2017
Mathias Louboutin and Felix J. Herrmann, “Extending the search space of time-domain adjoint-state FWI with randomized implicit time shifts”, in EAGE Annual Conference Proceedings, 2017.
Felix Oghenekohwo and Felix J. Herrmann, “Improved time-lapse data repeatability with randomized sampling and distributed compressive sensing”, in EAGE Annual Conference Proceedings, 2017.
Ali M. Alfaraj, Rajiv Kumar, and Felix J. Herrmann, “Shear wave reconstruction from low cost randomized acquisition”, in EAGE Annual Conference Proceedings, 2017.
Philipp A. Witte, Mengmeng Yang, and Felix J. Herrmann, “Sparsity-promoting least-squares migration with the linearized inverse scattering imaging condition”, in EAGE Annual Conference Proceedings, 2017.
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.
Ajinkya Kadu and Rajiv Kumar, “Decentralized full-waveform inversion”, in EAGE Annual Conference Proceedings, 2018.
Ali Siahkoohi, Rajiv Kumar, and Felix J. Herrmann, “Seismic data reconstruction with Generative Adversarial Networks”, in EAGE Annual Conference Proceedings, 2018.
2019
Felix J. Herrmann, Charles Jones, Gerard Gorman, Jan Hückelheim, Keegan Lensink, Paul H. J. Kelly, Navjot Kukreja, Henryk Modzelewski, Michael Lange, Mathias Louboutin, Fabio Luporini, James Selvages, and Philipp A. Witte, “Accelerating ideation and innovation cheaply in the Cloud the power of abstraction, collaboration and reproducibility”, in 4th EAGE Workshop on High-performance Computing, 2019.
Gabrio Rizzuti, Ali Siahkoohi, and Felix J. Herrmann, “Learned iterative solvers for the Helmholtz equation”, in EAGE Annual Conference Proceedings, 2019.
2020
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.
Gabrio Rizzuti, Mathias Louboutin, Rongrong Wang, and Felix J. Herrmann, “Time-domain wavefield reconstruction inversion for large-scale seismics”, in EAGE Annual Conference Proceedings, 2020.
2022
Ali Siahkoohi, Thomas J. Grady II, Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, and Felix J. Herrmann, “Capturing velocity-model uncertainty and two-phase flow with Fourier Neural Operators”, in EAGE Annual Conference Proceedings, 2022, p. AI in Geoscience and Geophysics: Current Trends and Future Prospects (Dedicated Session).
Mathias Louboutin and Felix J. Herrmann, “Enabling wave-based inversion on GPUs with randomized trace estimation”, in EAGE Annual Conference Proceedings, 2022, p. Seismic Wave Modelling and Least Square Migration 2 session.
Ali Siahkoohi, Rafael Orozco, Gabrio Rizzuti, and Felix J. Herrmann, “Wave-equation based inversion with amortized variational Bayesian inference”, in EAGE Annual Conference Proceedings, 2022, p. Session 2: Velocity model building and imaging (different domains).

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