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Author Title [ Type(Desc)] Year
Presentation
Felix J. Herrmann, “Welcome & Overview of the Meeting”, SINBAD Fall consortium talks. SINBAD, 2015.
Felix J. Herrmann, “Welcome & Overview of the Meeting”, SINBAD Fall consortium talks. SINBAD, 2016.
Hassan Mansour, “Why do curvelets work?”, SINBAD Fall consortium talks. SINBAD, 2011.
Xiang Li, Ernie Esser, and Felix J. Herrmann, “Why the modified Gauss-Newton method?”, SINBAD Fall consortium talks. SINBAD, 2014.
Nathan Krislock, “Wireless sensor network localization”, SINBAD Fall consortium talks. SINBAD, 2012.
Ziyi Yin, Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “WISE: Full-waveform Inference with Subsurface Extensions”, ML4SEISMIC Partners Meeting. 2023.
Tristan van Leeuwen, “Yet another perspective on image volumes”, SINBAD Fall consortium talks. SINBAD, 2012.
Report
Philipp A. Witte, Mengmeng Yang, and Felix J. Herrmann, “Compressive least-squares migration with source estimation”, UBC, TR-EOAS-2017-3, 2017.
Gang Tang, Reza Shahidi, and Jianwei Ma, “Design of two-dimensional randomized sampling schemes for curvelet-based sparsity-promoting seismic data recovery”, UBC Earth and Ocean Sciences Department, TR-EOAS-2009-3, 2009.
Felix J. Herrmann, “Empirical recovery conditions for seismic sampling”, Department of Earth and Ocean Sciences, UBC, TR-EOAS-2010-2, 2010.
Mufeed H. AlMatar, Tim T.Y. Lin, and Felix J. Herrmann, “Estimation of surface-free data by curvelet-domain matched filtering and sparse inversion”, Department of Earth and Ocean Sciences, University of British Columbia, Vancouver, TR-EOAS-2010-1, 2010.
Rajiv Kumar, Aleksandr Y. Aravkin, and Felix J. Herrmann, “Fast methods for rank minimization with applications to seismic-data interpolation”, Department of Earth and Ocean Sciences, University of British Columbia, Vancouver, TR-EOAS-2012-3, 2012.
Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, and Felix J. Herrmann, “Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows”, Georgia Institute of Technology, TR-CSE-2020-2, 2020.
Tristan van Leeuwen, “Fourier analysis of the CGMN method for solving the Helmholtz equation”, Department of Earth, Ocean and Atmospheric Sciences, The University of British Columbia, Vancouver, TR-EOAS-2012-1, 2012.
Rongrong Wang, Ozgur Yilmaz, and Felix J. Herrmann, “Full waveform inversion with interferometric measurements”, UBC, TR-EOAS-2014-5, 2014.
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.
Evgeniy Lebed and Felix J. Herrmann, “A hitchhiker's guide to the galaxy of transform-domain sparsification”, UBC Earth and Ocean Sciences Department, TR-EOAS-2008-4, 2008.
Ewout van den Berg and Michael P. Friedlander, “In pursuit of a root”, Department of Computer Science, University of British Columbia, Vancouver, TR-EOAS-2007-19, 2007.
Brendan R. Smithyman, Bas Peters, Bryan DeVault, and Felix J. Herrmann, “Joint full-waveform inversion of on-land surface and VSP data from the Permian Basin”, UBC, TR-EOAS-2014-4, 2014.
Shashin Sharan, Yijun Zhang, Oscar Lopez, and Felix J. Herrmann, “Large scale high-frequency wavefield reconstruction with recursively weighted matrix factorizations”, TR-CSE-2020-4, 2020.
Philipp A. Witte, Mathias Louboutin, Gerard Gorman, and Felix J. Herrmann, “A large-scale time-domain seismic modeling and inversion workflow in Julia”, UBC, TR-EOAS-2017-1, 2017.
Rajiv Kumar, Ning Tu, Tristan van Leeuwen, and Felix J. Herrmann, “Least-squares extended imaging with surface-related multiples”, UBC, TR-EOAS-2015-1, 2015.
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.
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.
Rafael Orozco, Mathias Louboutin, and Felix J. Herrmann, “Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging”, TR-CSE-2022-2, 2022.

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