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Bas Peters and Felix J. Herrmann, “Algorithms and Julia software for FWI with multiple constraints”, SINBAD Fall consortium talks. SINBAD, 2017.
Bas Peters, Chen Greif, and Felix J. Herrmann, “An algorithm for solving least-squares problems with a Helmholtz block and multiple right-hand-sides”, in International Conference On Preconditioning Techniques For Scientific And Industrial Applications, 2015.
Rajiv Kumar, Tristan van Leeuwen, and Felix J. Herrmann, “Affordable omnidirectional image volumes extension to 3D”, SINBAD Fall consortium talks. SINBAD, 2015.
Tristan van Leeuwen, Rajiv Kumar, and Felix J. Herrmann, “Affordable full subsurface image volume–-an application to WEMVA”, in EAGE Annual Conference Proceedings, 2015.
Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, and Felix J. Herrmann, “Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification”, in SPIE Medical Imaging Conference, 2023.
Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, and Felix J. Herrmann, “Adjoint operators as summary functions in amortized Bayesian inference frameworks”, ML4SEISMIC Partners Meeting. 2022.
Felix J. Herrmann, Deli Wang, and D. J. Verschuur, “Adaptive curvelet-domain primary-multiple separation”, Geophysics, vol. 73, pp. A17-A21, 2008.
Felix J. Herrmann, “Adaptive curvelet-domain primary-multiple separation”, in SINBAD, 2008.
Felix J. Herrmann, “Act normal that's crazy enough — an overview of seismic inversion with normalizing flows and surrogate modeling”, Scientific Computing, Applied and Industrial Mathematics (SCAIM) Seminar. 2023.
Lina Miao and Felix J. Herrmann, “Acceleration on sparse promoting seismic applications”, in CSEG Annual Conference Proceedings, 2013.
Emmanouil Daskalakis, Felix J. Herrmann, and Rachel Kuske, “Accelerating Sparse Recovery by Reducing Chatter”, SIAM Journal on Imaging Sciences, vol. 13, pp. 1211–1239, 2020.
Mathias Louboutin, Philipp A. Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, and Felix J. Herrmann, “Accelerating innovation with software abstractions for scalable computational geophysics”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
Felix J. Herrmann, Charles Jones, Gerard Gorman, Jan Hückelheim, Keegan Lensink, Paul H. J. Kelly, Navjot Kukreja, Henryk Modzelewski, Michael Lange, Mathias Louboutin, Fabio Luporini, James Selvages, and Philipp A. Witte, “Accelerating ideation and innovation cheaply in the Cloud the power of abstraction, collaboration and reproducibility”, in 4th EAGE Workshop on High-performance Computing, 2019.
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”, 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, Diego Oriato, Simon Tilbury, and Felix J. Herrmann, “Accelerating an iterative Helmholtz solver with FPGAs”, in EAGE Annual Conference Proceedings, 2014.
Felix J. Herrmann, “Accelerated large-scale inversion with message passing”, in SEG Technical Program Expanded Abstracts, 2012, vol. 31, pp. 1-6.
Mathias Louboutin, Ali Siahkoohi, Ziyi Yin, Rafael Orozco, Thomas J. Grady II, Yijun Zhang, Philipp A. Witte, Gabrio Rizzuti, and Felix J. Herrmann, “Abstractions for at-scale seismic inversion”, in Rice Oil and Gas High Performance Computing Conference 2022, 2022, p. Thursday Workshop: Devito Training and Hackathon.
Mathias Louboutin and Felix J. Herrmann, “Abstractions and algorithms for efficient seismic inversion on accelerators”, in IMAGE Workshop on What's Next for FWI and its Derived Products, 2022.

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