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Tim T.Y. Lin, Evgeniy Lebed, Yogi A. Erlangga, and Felix J. Herrmann, “Interpolating solutions of the Helmholtz equation with compressed sensing”, in SEG Technical Program Expanded Abstracts, 2008, vol. 27, pp. 2122-2126.
Tim T.Y. Lin, Evgeniy Lebed, Yogi A. Erlangga, and Felix J. Herrmann, “Interpolating solutions of the Helmholtz equation with compressed sensing”, in SEG Technical Program Expanded Abstracts, 2008, vol. 27, pp. 2122-2126.
Felix J. Herrmann, Yogi A. Erlangga, Tim T.Y. Lin, and Cody R. Brown, “Introduction to compressive (wavefield) computation”, in SINBAD 2008, 2008.
Philipp A. Witte, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Bas Peters, and Felix J. Herrmann, “InvertibleNetworks.jl - Memory efficient deep learning in Julia”, in JuliaCon, 2021.
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Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, “Large-scale workflows for wave-equation based inversion in Julia”, in SIAM Conference on Computational Science and Engineering, 2017.
Ziyi Yin, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
Mathias Louboutin, Rafael Orozco, Ali Siahkoohi, and Felix J. Herrmann, “Learned non-linear simultenous source and corresponding supershot for seismic imaging.”, in International Meeting for Applied Geoscience and Energy, 2023.
Felix J. Herrmann, Ali Siahkoohi, Rafael Orozco, Gabrio Rizzuti, Philipp A. Witte, and Mathias Louboutin, “Learned wave-based imaging - variational inference at scale”, in Delft, 2021.
Navjot Kukreja, Mathias Louboutin, Michael Lange, Fabio Luporini, and Gerard Gorman, “Leveraging symbolic math for rapid development of applications for seismic modeling”, in OGHPC, 2017.
Navjot Kukreja, Mathias Louboutin, Michael Lange, Fabio Luporini, and Gerard Gorman, “Leveraging symbolic math for rapid development of applications for seismic modeling”, in OGHPC, 2017.
Navjot Kukreja, Mathias Louboutin, Michael Lange, Fabio Luporini, and Gerard Gorman, “Leveraging symbolic math for rapid development of applications for seismic modeling”, in OGHPC, 2017.
Ernie Esser, Tim T.Y. Lin, Rongrong Wang, and Felix J. Herrmann, “A lifted $\ell_1/\ell_2$ constraint for sparse blind deconvolution”, in EAGE Annual Conference Proceedings, 2015.
Felix J. Herrmann, Mathias Louboutin, Ziyi Yin, and Philipp A. Witte, “Low-cost time-lapse seismic imaging of CCS with the joint recovery model”, in SEG Workshop on Geophysical Challenges in Presalt Carbonates; virtual, 2021.
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Rajiv Kumar, Oscar Lopez, Ernie Esser, and Felix J. Herrmann, “Matrix completion on unstructured grids : 2-D seismic data regularization and interpolation”, in EAGE Annual Conference Proceedings, 2015.
Ning Tu, Tim T.Y. Lin, and Felix J. Herrmann, “Migration with surface-related multiples from incomplete seismic data”, in SEG Technical Program Expanded Abstracts, 2011, vol. 30, pp. 3222-3227.
Tim T.Y. Lin and Felix J. Herrmann, “Mitigating data gaps in the estimation of primaries by sparse inversion without data reconstruction”, in SEG Technical Program Expanded Abstracts, 2014, pp. 4157-4161.
Felix J. Herrmann, Mathias Louboutin, and Ali Siahkoohi, “ML@scale using randomized linear algebra”, in Microsoft, 2021.
Xiang Li, Felix J. Herrmann, Tristan van Leeuwen, and Aleksandr Y. Aravkin, “Modified Gauss-Newton with sparse updates”, in SBGF, 2011.
Felix J. Herrmann, Xiang Li, Aleksandr Y. Aravkin, and Tristan van Leeuwen, “A modified, sparsity promoting, Gauss-Newton algorithm for seismic waveform inversion”, in Proc. SPIE, 2011.
Ting-ying Yu, Abhinav Prakash Gahlot, Rafael Orozco, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “Monitoring Subsurface CO2 Plumes with Sequential Bayesian Inference”, in International Meeting for Applied Geoscience and Energy, 2023.
Felix J. Herrmann, “Multifractional splines: application to seismic imaging”, in Proceedings of SPIE Technical Conference on Wavelets: Applications in Signal and Image Processing X, 2003, vol. 5207, pp. 240-258.
Tim T.Y. Lin and Felix J. Herrmann, “Multilevel acceleration strategy for the robust estimation of primaries by sparse inversion”, in EAGE Annual Conference Proceedings, 2014.
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Felix J. Herrmann, Mathias Louboutin, Thomas J. Grady II, Ziyi Yin, and Rishi Khan, “The Next Step: Interoperable Domain-Specific Programming”, in SIAM Conference on Computational Science and Engineering, 2023.
Rafael Orozco, Abhinav Prakash Gahlot, Peng Chen, Mathias Louboutin, and Felix J. Herrmann, “Normalizing Flows for Bayesian Experimental Design in Imaging Applications”, in SIAM Conference on Uncertainty Quantification, 2024.
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Oscar Lopez, Rajiv Kumar, Ozgur Yilmaz, and Felix J. Herrmann, “Off-the-grid low-rank matrix recovery: seismic data reconstruction”, in Canadian Mathematical Society Summer Meeting, 2016.

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