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2025
Abhinav Prakash Gahlot, Rafael Orozco, and Felix J. Herrmann, “Advancing Geological Carbon Storage Monitoring with 3D Digital Shadow Technology”. 2025.
Rafael Orozco, Ziyi Yin, Zeng, S., and Felix J. Herrmann, “Amortized Full-Waveform Inference w/ Learned Summary Statistics”, in Reduced Order and Surrogate Modeling for Digital Twins, IMSI, Chicago, 2025.
Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems”, Inverse Problems, vol. 41, 2025.
S. Zeng, Rafael Orozco, Yunlin Zeng, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, and Felix J. Herrmann, “Attention Please: Getting the Most from CIGs with Learned Summary Statistics”, in International Meeting for Applied Geoscience and Energy, 2025.
2023
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.
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, and Felix J. Herrmann, “Amortized Bayesian Full Waveform Inversion and Experimental Design with Normalizing Flows”, in International Meeting for Applied Geoscience and Energy, 2023.
Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, and Felix J. Herrmann, “Amortized normalizing flows for transcranial ultrasound with uncertainty quantification”, in Medical Imaging with Deep Learning, 2023.
2022
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.
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, 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.
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.
Ali Siahkoohi, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “Amortized velocity continuation with Fourier neural operators”, ML4SEISMIC Partners Meeting. 2022.
2020
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.
Fabio Luporini, Mathias Louboutin, Michael Lange, Navjot Kukreja, Philipp A. Witte, Jan Hückelheim, Charles Yount, Paul H. J. Kelly, Felix J. Herrmann, and Gerard J. Gorman, “Architecture and performance of Devito, a system for automated stencil computation”, ACM Trans. Math. Softw., vol. 46, 2020.
2019
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.
Bas Peters and Felix J. Herrmann, “Algorithms and software for projections onto intersections of convex and non-convex sets with applications to inverse problems”, arXiv e-prints, 2019.
Curt Da Silva, Yiming Zhang, Rajiv Kumar, and Felix J. Herrmann, “Applications of low-rank compressed seismic data to full waveform inversion and extended image volumes”, Geophysics, 2019.
2018
Ali M. Alfaraj, Rajiv Kumar, and Felix J. Herrmann, “Automatic statics and residual statics correction with low-rank approximation”, in EAGE Annual Conference Proceedings, 2018.
2017
Bas Peters and Felix J. Herrmann, “Algorithms and Julia software for FWI with multiple constraints”, SINBAD Fall consortium talks. SINBAD, 2017.
2016
Ben B. Bougher and Felix J. Herrmann, “Amplitude vs. angle analysis as an unsupervised learning problem”, SINBAD Fall consortium talks. SINBAD, 2016.
Felix Oghenekohwo, Haneet Wason, and Felix J. Herrmann, “Asymmetric sampling for time-lapse surveys”, SINBAD Fall consortium talks. SINBAD, 2016.
Ben B. Bougher and Felix J. Herrmann, “AVA classification as an unsupervised machine-learning problem”, in SEG Technical Program Expanded Abstracts, 2016, pp. 553-556.
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.
Rajiv Kumar, Tristan van Leeuwen, and Felix J. Herrmann, “Affordable omnidirectional image volumes extension to 3D”, SINBAD Fall consortium talks. SINBAD, 2015.

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