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Felix J. Herrmann, “Lecture 2. Gene Golub SIAM Summer School July 4 - 15, 2011”, in SLIM, 2011.
Ning Tu and Felix J. Herrmann, “Least-squares migration of full wavefield with source encoding”, in EAGE Annual Conference Proceedings, 2012.
Rajiv Kumar, Ning Tu, Tristan van Leeuwen, and Felix J. Herrmann, “Least-squares extended imaging with surface-related multiples”, UBC, TR-EOAS-2015-1, 2015.
Rajiv Kumar, Ning Tu, Tristan van Leeuwen, and Felix J. Herrmann, “Least-squares extended imaging with surface-related multiples”, in CSEG Annual Conference Proceedings, 2015.
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.
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.
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.
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.
Gabrio Rizzuti, Ali Siahkoohi, and Felix J. Herrmann, “Learned iterative solvers for the Helmholtz equation”, in EAGE Annual Conference Proceedings, 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.
Mathias Louboutin, Kartha, Y., Rafael Orozco, and Felix J. Herrmann, “Learned extensions for wave-based simulation and inversion”, ML4SEISMIC Partners Meeting. 2022.
Ziyi Yin, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
Felix J. Herrmann, “Latest developments on the Chevron GOM and other datasets”, SINBAD Spring consortium talks. SINBAD, 2013.
Felix J. Herrmann, “Latest developments in seismic-data recovery”, SINBAD Spring consortium talks. SINBAD, 2012.
Haneet Wason, Rajiv Kumar, Felix Oghenekohwo, and Felix J. Herrmann, “Latest developments in randomized marine acquisition and source separation”, SINBAD Spring consortium talks. SINBAD, 2015.
Felix J. Herrmann, “Latest developments in randomized (4D) acquisition”, SINBAD Fall consortium talks. SINBAD, 2014.
Felix J. Herrmann, “Latest developments in marine (4D) acquisition”, SINBAD Spring consortium talks. SINBAD, 2014.
Mathias Louboutin, Michael Lange, Fabio Luporini, Navjot Kurjeka, Jan Hueckelheim, Gerard Gorman, Philipp A. Witte, and Felix J. Herrmann, “Latest developments in Devito”, SINBAD Fall consortium talks. SINBAD, 2017.
Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, “Large-scale workflows for wave-equation based inversion in Julia”, in SIAM Conference on Computational Science and Engineering, 2017.
Philipp A. Witte, Mathias Louboutin, Gerard Gorman, and Felix J. Herrmann, “A large-scale time-domain seismic modeling and inversion workflow in Julia”, UBC, TR-EOAS-2017-1, 2017.
Philipp A. Witte and Felix J. Herrmann, “A large-scale time-domain modeling and inversion workflow in Julia”, SINBAD Fall consortium talks. SINBAD, 2016.
Darren Thomson, “Large-scale seismic data recovery by the parallel windowed curvelet transform”, in SINBAD 2006, 2006.
Curt Da Silva and Felix J. Herrmann, “Large-scale seismic data interpolation in a parallel computing environment”, SINBAD Fall consortium talks. SINBAD, 2014.
Yiming Zhang, “Large-scale seismic data compression: application to full waveform inversion and extended image volume”, The University of British Columbia, Vancouver, 2018.

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