Biblio

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A
Aleksandr Y. Aravkin, Tristan van Leeuwen, and Felix J. Herrmann, Robust FWI using Student's t-distribution, in ICIAM, 2011.
Aleksandr Y. Aravkin, Robust FWI using Student's t & robust source estimation, SINBAD Fall consortium talks. SINBAD, 2011.
Aleksandr Y. Aravkin, Rajiv Kumar, Hassan Mansour, Ben Recht, and Felix J. Herrmann, Fast methods for denoising matrix completion formulations, with applications to robust seismic data interpolation, SIAM Journal on Scientific Computing, vol. 36, pp. S237-S266, 2014.
Aleksandr Y. Aravkin, Tristan van Leeuwen, and Ning Tu, Sparse seismic imaging using variable projection, in ICASSP, 2013.
Aleksandr Y. Aravkin, Exploiting sparsity in full-waveform inversion: nonlinear basis pursuit denoise algorithm, SINBAD Fall consortium talks. SINBAD, 2010.
Aleksandr Y. Aravkin, Michael P. Friedlander, and Tristan van Leeuwen, Robust inversion via semistochastic dimensionality reduction, in ICASSP, 2012, pp. 5245-5248.
Aleksandr Y. Aravkin, Tristan van Leeuwen, Henri Calandra, and Felix J. Herrmann, Source estimation for frequency-domain FWI with robust penalties, in EAGE Annual Conference Proceedings, 2012.
Aleksandr Y. Aravkin, Tristan van Leeuwen, James V. Burke, and Felix J. Herrmann, Sparsity promoting formulations and algorithms for FWI, in ICIAM, 2011.
Aleksandr Y. Aravkin, Extensions to sparsity promotion, SINBAD Fall consortium talks. SINBAD, 2011.
Aleksandr Y. Aravkin, James V. Burke, Felix J. Herrmann, and Tristan van Leeuwen, A nonlinear sparsity promoting formulation and algorithm for full waveform inversion, in EAGE Annual Conference Proceedings, 2011.
Aleksandr Y. Aravkin, Tristan van Leeuwen, Kenneth Bube, and Felix J. Herrmann, On non-uniqueness of the Student's t-formulation for linear inverse problems, in SEG Technical Program Expanded Abstracts, 2012, vol. 31, pp. 1-5.
Enrico Au-Yeung, Hassan Mansour, and Ozgur Yilmaz, Compressed sensing, random Fourier matrix and jitter sampling, SINBAD Fall consortium talks. SINBAD, 2012.
Enrico Au-Yeung, Ozgur Yilmaz, and Felix J. Herrmann, Compressed sensing, recovery of signals using random Turbo matrices, SINBAD Fall consortium talks. SINBAD, 2013.
B
Y. Bernabé, U. Mok, B. Evans, and Felix J. Herrmann, Permeability and storativity of binary mixtures of high-and low-porosity materials, Journal of Geophysical Research: Solid Earth, vol. 109, p. B12207, 2004.
Moritz Beyreuther, Felix J. Herrmann, and Jamin Cristall, Curvelet denoising of 4-D seismic, in EAGE Annual Conference Proceedings, 2004.
Moritz Beyreuther, Jamin Cristall, and Felix J. Herrmann, Computation of time-lapse differences with 3-D directional frames, in SEG Technical Program Expanded Abstracts, 2005, vol. 24, pp. 2488-2491.
George Bisbas, Fabio Luporini, Mathias Louboutin, Rhodri Nelson, Gerard Gorman, and Paul H. J. Kelly, Temporal blocking of finite-difference stencil operators with sparse "off-the-grid" sources, in IEEE International Parallel and Distributed Processing Symposium, 2021.
Ben B. Bougher and Felix J. Herrmann, Prediction of stratigraphic units from spectral co-occurance coefficients of well logs, in CSEG Annual Conference Proceedings, 2015.
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.
Ben B. Bougher, Machine learning applications to geophysical data analysis, The University of British Columbia, Vancouver, 2016.
Ben B. Bougher and Felix J. Herrmann, Amplitude vs. angle analysis as an unsupervised learning problem, SINBAD Fall consortium talks. SINBAD, 2016.
Ben B. Bougher and Felix J. Herrmann, Using the scattering transform to predict stratigraphic units from well logs, CSEG Recorder, vol. 41, pp. 22-25, 2016.
Grant Bruer, Felix J. Herrmann, and Edmond Chow, CO2 reservoir monitoring through Bayesian data assimilation, ML4SEISMIC Partners Meeting. 2023.

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