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2006
Henryk Modzelewski, “Design and specifications for SLIM’s software framework”, in SINBAD 2006, 2006.
2008
Vishal Kumar and Felix J. Herrmann, “Deconvolution with curvelet-domain sparsity”, in SEG Technical Program Expanded Abstracts, 2008, vol. 27, pp. 1996-2000.
Felix J. Herrmann, “(De)-Focused wavefield reconstructions”, in SINBAD 2008, 2008.
Henryk Modzelewski, “Design and specifications for SLIM’s software framework”, in SINBAD 2008, 2008.
2009
Tim T.Y. Lin and Felix J. Herrmann, “Designing simultaneous acquisitions with compressive sensing”, in EAGE Annual Conference Proceedings, 2009.
2011
Bander Jumah and Felix J. Herrmann, “Dimensionality-reduced estimation of primaries by sparse inversion”, in SEG Technical Program Expanded Abstracts, 2011, vol. 30, pp. 3520-3525.
2013
Tim T.Y. Lin, Haneet Wason, and Felix J. Herrmann, “Dense shot-sampling via time-jittered marine sources”, in SEG Workshop on Simultaneous Sources; Houston, 2013.
Felix J. Herrmann, “Dimensionality reduction in FWI”, in SIAM, 2013.
2016
Navjot Kukreja, Mathias Louboutin, Felippe Vieira Zacarias, Fabio Luporini, Michael Lange, and Gerard Gorman, “Devito: automated fast finite difference computation”, in WOLFHPC 2016 Workshop (Super Computing), 2016.
Marcos de Aguiar, Gerard Gorman, Felix J. Herrmann, Navjot Kukreja, Michael Lange, Mathias Louboutin, and Felippe Vieira Zacarias, “DeVito: fast finite difference computation”, in Super Computing (SC16), 2016.
Michael Lange, Navjot Kukreja, Mathias Louboutin, Fabio Luporini, Felippe Vieira Zacarias, Vincenzo Pandolfo, Paulius Velesko, Paulius Kazakas, and Gerard Gorman, “Devito: Towards a generic finite difference DSL using symbolic python”, in 6th Workshop on Python for High-Performance and Scientific Computing, 2016, pp. 67-75.
2017
Mathias Louboutin, Lluís Guasch, and Felix J. Herrmann, “Data normalization strategies for full-waveform inversion”, in EAGE Annual Conference Proceedings, 2017.
Rongrong Wang and Felix J. Herrmann, “A denoising formulation of full-waveform inversion”, in SEG Technical Program Expanded Abstracts, 2017, pp. 1594-1598.
Rajiv Kumar, Nick Moldoveanu, and Felix J. Herrmann, “Denoising high-amplitude cross-flow noise using curvelet-based stable principle component pursuit”, in EAGE Annual Conference Proceedings, 2017.
Emmanouil Daskalakis, Rachel Kuske, and Felix J. Herrmann, “Developments in the direction of solving extremly large problems in Geophysics”, in SEG Technical Program Expanded Abstracts, 2017, pp. 4375-4378.
Navjot Kukreja, Michael Lange, Mathias Louboutin, Fabio Luporini, and Gerard Gorman, “Devito: symbolic math for automated fast finite difference computations”, in SIAM Conference on Computational Science and Engineering, 2017.
Felix J. Herrmann and Curt Da Silva, “Domain-specific abstractions for full-waveform inversion”, in SIAM Conference on Computational Science and Engineering, 2017.
2018
Shashin Sharan, Rajiv Kumar, Rongrong Wang, and Felix J. Herrmann, “A debiasing approach to microseismic”, in SEG Technical Program Expanded Abstracts, 2018, pp. 2942-2946.
Ajinkya Kadu and Rajiv Kumar, “Decentralized full-waveform inversion”, in EAGE Annual Conference Proceedings, 2018.
Ali Siahkoohi, Mathias Louboutin, Rajiv Kumar, and Felix J. Herrmann, “Deep Convolutional Neural Networks in prestack seismic–-two exploratory examples”, in SEG Technical Program Expanded Abstracts, 2018, pp. 2196-2200.
2019
Ali Siahkoohi, Rajiv Kumar, and Felix J. Herrmann, “Deep-learning based ocean bottom seismic wavefield recovery”, in SEG Technical Program Expanded Abstracts, 2019, pp. 2232-2237.
Gabrio Rizzuti, Mathias Louboutin, Rongrong Wang, Emmanouil Daskalakis, and Felix J. Herrmann, “A dual formulation for time-domain wavefield reconstruction inversion”, in SEG Technical Program Expanded Abstracts, 2019, pp. 1480-1485.
Gabrio Rizzuti, Mathias Louboutin, Rongrong Wang, Emmanouil Daskalakis, and Felix J. Herrmann, “A dual formulation for time-domain wavefield reconstruction inversion”, in SIAM Conference on Mathematical and Computational Issues in the Geosciences, 2019.
2020
Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, “A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification”, in EAGE Annual Conference Proceedings, 2020.
2021
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, and Felix J. Herrmann, “Deep Bayesian Inference for Task-based Seismic Imaging”, in KAUST, 2021.

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