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A
Aleksandr Y. Aravkin, “Generalized SPGL1: from theory to applications”, SINBAD Fall consortium talks. SINBAD, 2012.
E
Huseyin Tuna Erdinc, Rafael Orozco, and Felix J. Herrmann, “Generative Geostatistical Modeling from Incomplete Well and Imaged Seismic Observations”. 2024.
H
Felix J. Herrmann, “Gene Golub SIAM Summer School July 4 - 15, 2011”, in SLIM, 2011.
L
Oscar Lopez and Rajiv Kumar, “A Guide for Successful Low-Rank Matrix Recovery in Seismic Applications”, SINBAD Fall consortium talks. SINBAD, 2017.
O
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “Generative Seismic Kriging with Normalizing Flows”, in International Meeting for Applied Geoscience and Energy, 2023.
P
Bas Peters and Felix J. Herrmann, “Generalized Minkowski sets for the regularization of inverse problems”, in SIAM Conference on Mathematical and Computational Issues in the Geosciences, 2019.
Bas Peters and Felix J. Herrmann, “Generalized Minkowski sets for the regularization of inverse problems”, arXiv e-prints, 2019.
V
Ewout van den Berg, Mark Schmidt, Michael P. Friedlander, and K. Murphy, “Group sparsity via linear-time projection”, UBC - Department of Computer Science, TR-2008-09, 2008.
W
Philipp A. Witte, Mathias Louboutin, Navjot Kukreja, Fabio Luporini, Michael Lange, Gerard J. Gorman, and Felix J. Herrmann, “Geophysics Bright Spots: Efficient coding of large-scale seismic inversion algorithms”, The Leading Edge, vol. 38, pp. 482-484, 2019.
Y
Jiupeng Yan and Felix J. Herrmann, “Groundroll prediction by interferometry and separation by curvelet-domain filtering”, in SEG Technical Program Expanded Abstracts, 2009.
Jiupeng Yan and Felix J. Herrmann, “Groundroll prediction by interferometry and separation by curvelet-domain matched filtering”, in SEG Technical Program Expanded Abstracts, 2009, vol. 28, pp. 3297-3301.
Carson Yarham, Felix J. Herrmann, and Daniel Trad, “Ground roll removal using non-separable wavelet transforms”, in CSEG Annual Conference Proceedings, 2004.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “Generative AI for full-waveform variational inference”, Georgia Tech Geophysics Seminar. 2024.