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Ning Tu and Felix J. Herrmann, “Imaging the Nelson data set using surface-related multiples”, SINBAD Fall consortium talks. SINBAD, 2014.
Polina Zheglova and Felix J. Herrmann, “Imaging with hierarchical semi separable matrices”, SINBAD Fall consortium talks. SINBAD, 2013.
Ning Tu and Felix J. Herrmann, “Imaging with multiples accelerated by message passing”, in SEG Technical Program Expanded Abstracts, 2012, vol. 31, pp. 1-6.
Mengmeng Yang, Emmanouil Daskalakis, and Felix J. Herrmann, “Imaging with multiples in shallow water”, SINBAD Fall consortium talks. SINBAD, 2017.
Felix J. Herrmann, “Imaging/Inversion with irregular/random sampled spatial arrays”, in SEG-AGU Workshop on Advances in Active + Passive "Full Wavefield" Seismic Imaging: From Reservoirs to Plate Tectonics, 2014.
Tim T.Y. Lin and Felix J. Herrmann, “Implicit interpolation of trace gaps in REPSI using auto-convolution terms”, SINBAD Spring consortium talks. SINBAD, 2014.
Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “The importance of transfer learning in seismic modeling and imaging”, Geophysics, 2019.
Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Mathias Louboutin, and Felix J. Herrmann, “Improved automatic seismic CO2 leakage detection via dataset augmentation”, ML4SEISMIC Partners Meeting. 2023.
Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “Improved seismic monitoring of CO2 sequestration with the weighted joint recovery model”, ML4SEISMIC Partners Meeting. 2021.
Yijun Zhang and Felix J. Herrmann, “Improved seismic survey design by maximizing the spectral gap with global optimization”, ML4SEISMIC Partners Meeting. 2021.
Felix Oghenekohwo and Felix J. Herrmann, “Improved time-lapse data repeatability with randomized sampling and distributed compressive sensing”, in EAGE Annual Conference Proceedings, 2017.
Hassan Mansour, Felix J. Herrmann, and Ozgur Yilmaz, “Improved wavefield reconstruction from randomized sampling via weighted one-norm minimization”, Geophysics, vol. 78, pp. V193-V206, 2013.
Rongrong Wang and Felix J. Herrmann, “Improving full waveform inversion with spectral extrapolation”, SINBAD Fall consortium talks. SINBAD, 2015.
Tristan van Leeuwen, Aleksandr Y. Aravkin, Henri Calandra, and Felix J. Herrmann, “In which domain should we measure the misfit for robust full waveform inversion?”, in EAGE Annual Conference Proceedings, 2013.
Vishal Kumar and Felix J. Herrmann, “Incoherent noise suppression with curvelet-domain sparsity”, in SEG Technical Program Expanded Abstracts, 2009, vol. 28, pp. 3356-3360.
Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, Rafael Orozco, Ziyi Yin, and Felix J. Herrmann, “Inference of CO2 flow patterns – a feasibility study”, in Neural Information Processing Systems (NeurIPS), 2023.
Joost van der Neut and Felix J. Herrmann, “Interferometric redatuming by sparse inversion”, Geophysical Journal International, vol. 192, pp. 666-670, 2013.
Joost van der Neut, Felix J. Herrmann, and Kees Wapenaar, “Interferometric redatuming with simultaneous and missing sources using sparsity promotion in the curvelet domain”, in SEG Technical Program Expanded Abstracts, 2012, vol. 31, pp. 1-7.
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.
Bas Peters and Felix J. Herrmann, “Intersections and sums of sets for the regularization of inverse problems”, in Canadian Mathematical Society Winter Meeting, 2018.
Felix J. Herrmann, “Introduction inaugural ML4Seismic Partners Meeting”, ML4SEISMIC Partners Meeting. 2021.
Felix J. Herrmann, “Introduction to 2022 ML4SEISMIC Partners Meeting”, ML4SEISMIC Partners Meeting. 2022.
Felix J. Herrmann, Yogi A. Erlangga, Tim T.Y. Lin, and Cody R. Brown, “Introduction to compressive (wavefield) computation”, in SINBAD 2008, 2008.
Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Bas Peters, and Felix J. Herrmann, “InvertibleNetworks.jl: A Julia package for scalable normalizing flows”. 2023.
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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