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Bas Peters and Felix J. Herrmann, “A numerical solver for least-squares sub-problems in 3D wavefield reconstruction inversion and related problem formulations”, in SEG Technical Program Expanded Abstracts, 2019, pp. 1536-1540.
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 and Felix J. Herrmann, “Constraints versus penalties for edge-preserving full-waveform inversion”, The Leading Edge, vol. 36, pp. 94-100, 2017.
Bas Peters, Chen Greif, and Felix J. Herrmann, “3D WRI”, SINBAD Fall consortium talks. SINBAD, 2015.
Bas Peters, Tristan van Leeuwen, and Felix J. Herrmann, “Examples from the penalty-method”, SINBAD Fall consortium talks. SINBAD, 2013.
Bas Peters and Felix J. Herrmann, “Single- and multi-parameter WRI –- synthetic examples”, SINBAD Fall consortium talks. SINBAD, 2014.
Bas Peters and Felix J. Herrmann, “Wavefield-reconstruction inversion”, in Conference on Applied Inverse Problems, 2015.
Bas Peters, Chen Greif, and Felix J. Herrmann, “Solving WRI’s data-augmented wave equation in 3D”, SINBAD Spring consortium talks. SINBAD, 2015.
Bas Peters, Felix J. Herrmann, and Tristan van Leeuwen, “Wave-equation based inversion with the penalty method: adjoint-state versus wavefield-reconstruction inversion”, in EAGE Annual Conference Proceedings, 2014.
Bas Peters and Felix J. Herrmann, “Intersections and sums of sets for the regularization of inverse problems”, in Canadian Mathematical Society Winter Meeting, 2018.
Bas Peters and Felix J. Herrmann, “Quadratic-penalty based full-space methods for waveform inversion”, SINBAD Fall consortium talks. SINBAD, 2014.
Art Petrenko, Tristan van Leeuwen, and Felix J. Herrmann, “Software acceleration of CARP, an iterative linear solver and preconditioner”, UBC, TR-EOAS-2013-4, 2013.
Art Petrenko, “Accelerating an iterative Helmholtz solver using reconfigurable hardware”, The University of British Columbia, Vancouver, 2014.
Art Petrenko, Tristan van Leeuwen, Felix J. Herrmann, Diego Oriato, and Simon Tilbury, “Accelerating an iterative Helmholtz solver with FPGAs”, SINBAD Fall consortium talks. SINBAD, 2013.
Art Petrenko, Tristan van Leeuwen, Diego Oriato, Simon Tilbury, and Felix J. Herrmann, “Accelerating an iterative Helmholtz solver with FPGAs”, in EAGE Annual Conference Proceedings, 2014.
Art Petrenko, Tristan van Leeuwen, Diego Oriato, Simon Tilbury, and Felix J. Herrmann, “Accelerating an iterative Helmholtz solver with FPGAs”, SINBAD Spring consortium talks. SINBAD, 2014.
Art Petrenko, Felix J. Herrmann, Diego Oriato, Simon Tilbury, and Tristan van Leeuwen, “Accelerating an iterative Helmholtz solver with FPGAs”, in OGHPC, 2014.
Art Petrenko, Tristan van Leeuwen, and Felix J. Herrmann, “Software acceleration of CARP, an iterative linear solver and preconditioner”, presented at the 06, 2013.
Art Petrenko, “CARP-CG: a computational study”, SINBAD Fall consortium talks. SINBAD, 2012.
Ting Kei Pong, Michael P. Friedlander, and Felix J. Herrmann, “The proximal-proximal gradient algorithm”, SINBAD Fall consortium talks. SINBAD, 2013.
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Yuxiao Ren, Philipp A. Witte, Ali Siahkoohi, Mathias Louboutin, Ziyi Yin, and Felix J. Herrmann, “Seismic Velocity Inversion and Uncertainty Quantification Using Conditional Normalizing Flows”, in AGU Annual Meeting, 2021, p. U12A-03.
Richard Rex, Ziyi Yin, and Felix J. Herrmann, “Velocity Continuation for Common Image Gathers with Fourier Neural Operators”, in International Meeting for Applied Geoscience and Energy, 2024.
Richard Rex, Yunlin Zeng, Ziyi Yin, Rafael Orozco, and Felix J. Herrmann, “FNO-charged ASPIRE”, ML4SEISMIC Partners Meeting. 2024.
Richard Rex, Avasarala, S., Grady, T., and Felix J. Herrmann, “Tucker Compression for Scalable Operator Learning in Large-Scale Parametric PDE Models”, ML4SEISMIC Partners Meeting. 2024.
Richard Rex, Thomas J. Grady II, Rishi Khan, Ziyi Yin, and Felix J. Herrmann, “Large-scale parametric PDE approximations with model-parallel Fourier neural operators”, ML4SEISMIC Partners Meeting. 2023.

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