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Shashin Sharan, “Large scale high-frequency seismic wavefield reconstruction, acquisition via rank minimization and sparsity-promoting source estimation”, Georgia Institute of Technology, Atlanta, 2020.
Shashin Sharan, Yijun Zhang, Oscar Lopez, and Felix J. Herrmann, “Large scale high-frequency wavefield reconstruction with recursively weighted matrix factorizations”, TR-CSE-2020-4, 2020.
Okan Akalin, “Large scale seismic data interpolation with matrix completion”, SINBAD Fall consortium talks. SINBAD, 2012.
Yijun Zhang, “Large scale wavefield reconstruction via weighted matrix factorization and seismic survey design”, Georgia Institute of Technology, Atlanta, 2023.
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.
Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, “A large-scale framework in Julia for fast prototyping of seismic inversion algorithms”, SINBAD Fall consortium talks. SINBAD, 2017.
Curt Da Silva, “Large-scale optimization algorithms for missing data completion and inverse problems”, The University of British Columbia, Vancouver, 2017.
Richard Rex, Thomas J. Grady II, Rishi Khan, Ziyi Yin, and Felix J. Herrmann, “Large-scale parametric PDE approximations with model-parallel Fourier neural operators”, ML4SEISMIC Partners Meeting. 2023.
Yiming Zhang, “Large-scale seismic data compression: application to full waveform inversion and extended image volume”, The University of British Columbia, Vancouver, 2018.
Curt Da Silva and Felix J. Herrmann, “Large-scale seismic data interpolation in a parallel computing environment”, SINBAD Fall consortium talks. SINBAD, 2014.
Darren Thomson, “Large-scale seismic data recovery by the parallel windowed curvelet transform”, in SINBAD 2006, 2006.
Philipp A. Witte and Felix J. Herrmann, “A large-scale time-domain modeling and inversion workflow in Julia”, SINBAD Fall consortium talks. SINBAD, 2016.
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, 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.
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.
Felix J. Herrmann, “Latest developments in marine (4D) acquisition”, SINBAD Spring consortium talks. SINBAD, 2014.
Felix J. Herrmann, “Latest developments in randomized (4D) acquisition”, SINBAD Fall consortium talks. SINBAD, 2014.
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 seismic-data recovery”, SINBAD Spring consortium talks. SINBAD, 2012.
Felix J. Herrmann, “Latest developments on the Chevron GOM and other datasets”, SINBAD Spring consortium talks. SINBAD, 2013.
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.
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”, in Neural Information Processing Systems (NeurIPS), 2019.
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.

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