Biblio

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Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, Amortized Bayesian Full Waveform Inversion and Experimental Design with Normalizing Flows, in International Meeting for Applied Geoscience and Energy, 2023.
Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, and Felix J. Herrmann, Amortized normalizing flows for transcranial ultrasound with uncertainty quantification, in Medical Imaging with Deep Learning, 2023.
Ali Siahkoohi, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, Amortized velocity continuation with Fourier neural operators, ML4SEISMIC Partners Meeting. 2022.
Ben B. Bougher and Felix J. Herrmann, Amplitude vs. angle analysis as an unsupervised learning problem, SINBAD Fall consortium talks. SINBAD, 2016.
Philipp A. Witte and Felix J. Herrmann, Anisotropic RTM applied to field data, SINBAD Fall consortium talks. SINBAD, 2015.
Ernie Esser and Felix J. Herrmann, Application of a convex phase retrieval method to blind seismic deconvolution, in EAGE Annual Conference Proceedings, 2014.
Polina Zheglova and Felix J. Herrmann, Application of matrix square root and its inverse to downward wavefield extrapolation, in EAGE Annual Conference Proceedings, 2014.
Reza Shahidi, Gang Tang, Jianwei Ma, and Felix J. Herrmann, Application of randomized sampling schemes to curvelet-based sparsity-promoting seismic data recovery, Geophysical Prospecting, vol. 61, pp. 973-997, 2013.
Gilles Hennenfent and Felix J. Herrmann, Application of stable signal recovery to seismic data interpolation, in SEG Technical Program Expanded Abstracts, 2006, pp. 2797-2801.
Curt Da Silva, Yiming Zhang, Rajiv Kumar, and Felix J. Herrmann, Applications of low-rank compressed seismic data to full waveform inversion and extended image volumes, Geophysics, 2019.
Ernie Esser and Felix J. Herrmann, Applications of phase retrieval methods to blind seismic deconvolution, SINBAD Fall consortium talks. SINBAD, 2013.
Felix J. Herrmann, Approximate message passing meets exploration seismology, in 2012 IEEE Statistical Signal Processing Workshop (SSP) (SSP'12), Ann Arbor, Michigan, USA, 2012.
Fabio Luporini, Mathias Louboutin, Michael Lange, Navjot Kukreja, Philipp A. Witte, Jan Hückelheim, Charles Yount, Paul H. J. Kelly, Felix J. Herrmann, and Gerard J. Gorman, Architecture and performance of Devito, a system for automated stencil computation, ACM Trans. Math. Softw., vol. 46, 2020.
Felix Oghenekohwo and Felix J. Herrmann, Assessing the need for repeatability in acquisition of time-lapse data, in CSEG Annual Conference Proceedings, 2013.
Felix Oghenekohwo, Haneet Wason, and Felix J. Herrmann, Asymmetric sampling for time-lapse surveys, SINBAD Fall consortium talks. SINBAD, 2016.
Ernie Esser, Lluís Guasch, Tristan van Leeuwen, Aleksandr Y. Aravkin, and Felix J. Herrmann, Automatic salt delineation –- Wavefield Reconstruction Inversion with convex constraints, in SEG Technical Program Expanded Abstracts, 2015, pp. 1337-1343.
Ernie Esser, Lluís Guasch, and Felix J. Herrmann, Automatic salt delineation — Wavefield Reconstruction Inversion with convex constraints, SINBAD Fall consortium talks. SINBAD, 2015.
Ernie Esser, Lluís Guasch, and Felix J. Herrmann, Automatic salt delineation — Wavefield Reconstruction Inversion with convex constraints, SINBAD Spring consortium talks. SINBAD, 2015.
Felix J. Herrmann, Automatic salt flooding with constrained wavefield reconstruction inversion, in SEG Summer Research Workshop on FWI Applications from Imaging to Reservoir Characterization; Houston, 2015.
Ernie Esser, Lluís Guasch, and Felix J. Herrmann, Automatic salt flooding with hinged FWI, in SEG Workshop on Subsalt model buiding long to short wavelengths; New Orleans, 2015.
Ali M. Alfaraj, Rajiv Kumar, and Felix J. Herrmann, Automatic statics and residual statics correction with low-rank approximation, in EAGE Annual Conference Proceedings, 2018.
Rajiv Kumar, Tristan van Leeuwen, and Felix J. Herrmann, AVA analysis and geological dip estimation via two-way wave-equation based extended images, in SEG Technical Program Expanded Abstracts, 2013, vol. 32, pp. 423-427.
Ben B. Bougher and Felix J. Herrmann, AVA classification as an unsupervised machine-learning problem, in SEG Technical Program Expanded Abstracts, 2016, pp. 553-556.

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