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Felix J. Herrmann, Ali Siahkoohi, and Gabrio Rizzuti, Learned imaging with constraints and uncertainty quantification, HotCSE Seminar. 2019.
Gabrio Rizzuti, Ali Siahkoohi, and Felix J. Herrmann, Learned iterative solvers for the Helmholtz equation, in EAGE Annual Conference Proceedings, 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, Ali Siahkoohi, Rafael Orozco, Gabrio Rizzuti, Philipp A. Witte, and Mathias Louboutin, Learned wave-based imaging - variational inference at scale, in Delft, 2021.
Ali Siahkoohi and Felix J. Herrmann, Learning by example: fast reliability-aware seismic imaging with normalizing flows, in SEG Technical Program Expanded Abstracts, 2021, pp. 1580-1585.
Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, and Felix J. Herrmann, Low-cost uncertainty quantification for large-scale inverse problems, ML4SEISMIC Partners Meeting. 2022.
Mathias Louboutin, Ali Siahkoohi, Rongrong Wang, and Felix J. Herrmann, Low-memory stochastic backpropagation with multi-channel randomized trace estimation, TR-CSE-2021-1, 2021.

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