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Author Title Type [ Year(Desc)]
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2014
Felix J. Herrmann and Tristan van Leeuwen, “A penalty method for PDE-constrained optimization”, UBC, WO 2014/172787, 2014.
Ernie Esser, Tristan van Leeuwen, Aleksandr Y. Aravkin, and Felix J. Herrmann, “A scaled gradient projection method for total variation regularized full waveform inversion”, UBC, TR-EOAS-2014-2, 2014.
Ernie Esser, “Some lifting notes”, UBC, TR-EOAS-2014-1, 2014.
Zhilong Fang and Felix J. Herrmann, “A stochastic quasi-Newton McMC method for uncertainty quantification of full-waveform inversion”, UBC, TR-EOAS-2014-6, 2014.
Valentin Tschannen, Zhilong Fang, and Felix J. Herrmann, “Time domain least squares migration and dimensionality reduction”, UBC, TR-EOAS-2014-9, 2014.
2015
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.
Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, “Overview on anisotropic modeling and inversion”, UBC, TR-EOAS-2015-6, 2015.
Bas Peters, Brendan R. Smithyman, and Felix J. Herrmann, “Regularizing waveform inversion by projection onto intersections of convex sets”, UBC, TR-EOAS-2015-4, 2015.
Bas Peters, Zhilong Fang, Brendan R. Smithyman, and Felix J. Herrmann, “Regularizing waveform inversion by projections onto convex sets –- application to the 2D Chevron 2014 synthetic blind-test dataset”, UBC, TR-EOAS-2015-7, 2015.
Rajiv Kumar, Haneet Wason, and Felix J. Herrmann, “Time-jittered marine acquisition: low-rank v/s sparsity”, UBC, TR-EOAS-2015-2, 2015.
Ernie Esser, Lluís Guasch, Tristan van Leeuwen, Aleksandr Y. Aravkin, and Felix J. Herrmann, “Total variation regularization strategies in full waveform inversion for improving robustness to noise, limited data and poor initializations”, UBC, TR-EOAS-2015-5, 2015.
Rafael Lago and Felix J. Herrmann, “Towards a robust geometric multigrid scheme for Helmholtz equation”, UBC, TR-EOAS-2015-3, 2015.
2016
Mathias Louboutin, Gerard Gorman, and Felix J. Herrmann, “Optimizing the computational performance and maintainability of time-domain modelling–-leveraging multiple right-hand-sides”, UBC, TR-EOAS-2016-2, 2016.
Felix J. Herrmann, “Overview research at the SINBAD Consortium”, UBC, TR-EOAS-2016-1, 2016.
2017
Philipp A. Witte, Mengmeng Yang, and Felix J. Herrmann, “Compressive least-squares migration with source estimation”, UBC, TR-EOAS-2017-3, 2017.
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.
Mathias Louboutin, Gerard Gorman, and Felix J. Herrmann, “Optimizing the computational performance of time-domain modelling–-leveraging multiple right-hand-sides”, UBC, TR-EOAS-2017-2, 2017.
2019
Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “Neural network augmented wave-equation simulation”, Georgia Institute of Technology, TR-CSE-2019-1, 2019.
2020
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.
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.
Mathias Louboutin, Fabio Luporini, Philipp A. Witte, Rhodri Nelson, George Bisbas, Thorbecke, J., Felix J. Herrmann, and Gerard Gorman, “Scaling through abstractions – high-performance vectorial wave simulations for seismic inversion with Devito”, Georgia Institute of Technology, TR-CSE-2020-3, 2020.
Mathias Louboutin, Gabrio Rizzuti, and Felix J. Herrmann, “Time-domain Wavefield Reconstruction Inversion in a TTI medium”, Georgia Institute of Technology, TR-CSE-2020-1, 2020.
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.
2022
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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