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H
Felix J. Herrmann, Mathias Louboutin, and Ali Siahkoohi, “ML@scale using randomized linear algebra”, in Microsoft, 2021.
K
Rajiv Kumar, Marie Graff-Kray, Ivan Vasconcelos, and Felix J. Herrmann, “Target-oriented imaging using extended image volumes—a low-rank factorization approach”, Geophysical Prospecting, vol. 67, pp. 1312-1328, 2019.
L
Mathias Louboutin and Felix J. Herrmann, “Randomized linear algebra for inversion”, ML4SEISMIC Partners Meeting. 2021.
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.
Mathias Louboutin and Felix J. Herrmann, “Ultra-low memory seismic inversion with randomized trace estimation”, in SEG Technical Program Expanded Abstracts, 2021, pp. 787-791.
P
Bas Peters, Chen Greif, and Felix J. Herrmann, “An algorithm for solving least-squares problems with a Helmholtz block and multiple right-hand-sides”, in International Conference On Preconditioning Techniques For Scientific And Industrial Applications, 2015.
Y
Mengmeng Yang, “Seismic imaging with extended image volumes and source estimation”, Georgia Institute of Technology, Atlanta, 2020.
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.