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Peyman P. Moghaddam and Felix J. Herrmann, “Migration preconditioning with curvelets”, in SEG Technical Program Expanded Abstracts, 2004, vol. 23, pp. 2204-2207.
Ning Tu, “Migration from surface-related multiples”, SINBAD Fall consortium talks. SINBAD, 2011.
Peyman P. Moghaddam, Felix J. Herrmann, and Christiaan C. Stolk, “Migration amplitude recovery using curvelets”, in CSEG Annual Conference Proceedings, 2007.
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging”, TR-CSE-2022-2, 2022.
Felix J. Herrmann, “Meet our digital twin for geological carbon storage”, ML4SEISMIC Partners Meeting. 2022.
Haoyun Li, Ziyi Yin, Olav Møyner, and Felix J. Herrmann, “Maximizing CO2 injectivity within fracture pressure”, ML4SEISMIC Partners Meeting. 2023.
Bas Peters, Felix J. Herrmann, and Chen Greif, “Matrix-free quadratic-penalty methods for PDE-constrained optimization”, in SIAM Conference on Computational Science and Engineering, 2015.
Curt Da Silva and Felix J. Herrmann, “Matrix probing and simultaneous sources: a new approach for preconditioning the Hessian”, in EAGE Annual Conference Proceedings, 2012.
Rajiv Kumar, Oscar Lopez, Ernie Esser, and Felix J. Herrmann, “Matrix completion on unstructured grids : 2-D seismic data regularization and interpolation”, in EAGE Annual Conference Proceedings, 2015.
Rajiv Kumar, Oscar Lopez, Ernie Esser, and Felix J. Herrmann, “Matrix completion on unstructured grids : 2-D seismic data regularization and interpolation”, UBC, TR-EOAS-2014-3, 2014.
Oscar Lopez, Keegan Lensink, Rajiv Kumar, and Henryk Modzelewski, “Matrix Completion in Parallel Architectures: Julia Implementation”, SINBAD Fall consortium talks. SINBAD, 2017.
Okan Akalin, Curt Da Silva, Rajiv Kumar, Ben Recht, and Felix J. Herrmann, “Matrix and tensor completion for large-scale seismic interpolation: a comparative study”, SINBAD Fall consortium talks. SINBAD, 2013.
Yiming Zhang, Curt Da Silva, Rajiv Kumar, and Felix J. Herrmann, “Massive seismic data compression & recovery w/ on-the-fly data extraction”, SINBAD Fall consortium talks. SINBAD, 2017.
Yiming Zhang, Curt Da Silva, Rajiv Kumar, and Felix J. Herrmann, “Massive 3D seismic data compression and inversion with hierarchical Tucker”, in SEG Technical Program Expanded Abstracts, 2017, pp. 1347-1352.
Ben B. Bougher, “Machine learning applications to geophysical data analysis”, The University of British Columbia, Vancouver, 2016.
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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.
Marie Graff-Kray, Rajiv Kumar, and Felix J. Herrmann, “Low-rank representation of omnidirectional subsurface extended image volumes”, SINBAD Fall consortium talks. SINBAD, 2017.
Mengmeng Yang, Marie Graff, Rajiv Kumar, and Felix J. Herrmann, “Low-rank representation of omnidirectional subsurface extended image volumes”, Geophysics, vol. 86, p. 1MJ-WA152, 2021.
Rajiv Kumar, Marie Graff-Kray, Tristan van Leeuwen, and Felix J. Herrmann, “Low-rank representation of extended image volumes––applications to imaging and velocity continuation”, in SEG Technical Program Expanded Abstracts, 2018, pp. 4418-4422.
Curt Da Silva and Felix J. Herrmann, “Low-rank promoting transformations and tensor interpolation - applications to seismic data denoising”, SINBAD Spring consortium talks. SINBAD, 2014.
Curt Da Silva and Felix J. Herrmann, “Low-rank promoting transformations and tensor interpolation - applications to seismic data denoising”, in EAGE Annual Conference Proceedings, 2014.
Rajiv Kumar, Curt Da Silva, Yiming Zhang, and Felix J. Herrmann, “Low-rank methods for on-the-fly slicing & dicing of seismic data & image volumes”, SINBAD Fall consortium talks. SINBAD, 2016.
Oscar Lopez, Rajiv Kumar, and Felix J. Herrmann, “Low-rank matrix recovery for parallel architectures”, SINBAD Fall consortium talks. SINBAD, 2016.
Felix J. Herrmann, “Low-rank based matrix/tensor completions for the "real" (seismic) world”, in Workshop on Sparse Representations, Numerical Linear Algebra, and Optimization; Banff, 2014.
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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