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2023
Richard Rex, Thomas J. Grady II, Rishi Khan, Ziyi Yin, and Felix J. Herrmann, “Large-scale parametric PDE approximations with model-parallel Fourier neural operators”, ML4SEISMIC Partners Meeting. 2023.
Thomas J. Grady II, Rishi Khan, Mathias Louboutin, Ziyi Yin, Philipp A. Witte, Ranveer Chandra, Russell J. Hewett, and Felix J. Herrmann, “Model-Parallel Fourier Neural Operators as Learned Surrogates for Large-Scale Parametric PDEs”, Computers & Geosciences, vol. 178, p. 105402, 2023.
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.
Yijun Zhang, Ziyi Yin, Oscar Lopez, Ali Siahkoohi, Mathias Louboutin, Rajiv Kumar, and Felix J. Herrmann, “Optimized time-lapse acquisition design via spectral gap ratio minimization”, Geophysics, vol. 88, pp. A19-A23, 2023.
Oscar Lopez, Rajiv Kumar, Nick Moldoveanu, and Felix J. Herrmann, “Spectral Gap-Based Seismic Survey Design”, IEEE Transactions on Geoscience and Remote Sensing, 2023.
2022
Thomas J. Grady II, Rishi Khan, Mathias Louboutin, Ziyi Yin, Philipp A. Witte, Ranveer Chandra, Russell J. Hewett, and Felix J. Herrmann, “Effective scaling of numerical surrogates via domain-decomposed Fourier neural operators”, ML4SEISMIC Partners Meeting. 2022.
Mathias Louboutin, Kartha, Y., Rafael Orozco, and Felix J. Herrmann, “Learned extensions for wave-based simulation and inversion”, ML4SEISMIC Partners Meeting. 2022.
Navjot Kukreja, Jan Hueckelheim, Mathias Louboutin, John Washbourne, Paul H. J. Kelly, and Gerard J. Gorman, “Lossy Checkpoint Compression in Full Waveform Inversion”, Geoscientific Model Development, vol. 15, pp. 3815-3829, 2022.
Navjot Kukreja, Jan Hueckelheim, Mathias Louboutin, John Washbourne, Paul H. J. Kelly, and Gerard J. Gorman, “Lossy Checkpoint Compression in Full Waveform Inversion”, Geoscientific Model Development, vol. 15, pp. 3815-3829, 2022.
Yijun Zhang, Mathias Louboutin, Ali Siahkoohi, Ziyi Yin, Rajiv Kumar, and Felix J. Herrmann, “A simulation-free seismic survey design by maximizing the spectral gap”, in International Meeting for Applied Geoscience and Energy Expanded Abstracts, 2022.
Yijun Zhang, Mathias Louboutin, Ali Siahkoohi, Ziyi Yin, Rajiv Kumar, Oscar Lopez, and Felix J. Herrmann, “Time-lapse seismic survey design by maximizing the spectral gap”, ML4SEISMIC Partners Meeting. 2022.
Ali Siahkoohi, Chinen, M., Denton, T., W. Kleijn, B., and Skoglund, J., “Ultra-Low-Bitrate Speech Coding with Pretrained Transformers”, in Proceedings of INTERSPEECH, 2022.
2021
Thomas J. Grady II, Rishi Khan, and Felix J. Herrmann, “Distributed Fourier Neural Operators”, ML4SEISMIC Partners Meeting. 2021.
Rajiv Kumar, Maria Kotsi, Ali Siahkoohi, and Alison Malcolm, “Enabling uncertainty quantification for seismic data pre-processing using normalizing flows (NF)—an interpolation example”, in SEG Technical Program Expanded Abstracts, 2021, pp. 1515-1519.
Rajiv Kumar, Maria Kotsi, Ali Siahkoohi, and Alison Malcolm, “Enabling uncertainty quantification for seismic data pre-processing using normalizing flows (NF)—an interpolation example”, in SEG Technical Program Expanded Abstracts, 2021, pp. 1515-1519.
Mengmeng Yang, Marie Graff, Rajiv Kumar, and Felix J. Herrmann, “Low-rank representation of omnidirectional subsurface extended image volumes”, Geophysics, vol. 86, p. 1MJ-WA152, 2021.
George Bisbas, Fabio Luporini, Mathias Louboutin, Rhodri Nelson, Gerard Gorman, and Paul H. J. Kelly, “Temporal blocking of finite-difference stencil operators with sparse "off-the-grid" sources”, in IEEE International Parallel and Distributed Processing Symposium, 2021.
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.
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.
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.
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.
Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, Paul Hovland, and Gerard Gorman, “Combining checkpointing and data compression to accelerate adjoint-based optimization problems”, Euro-Par 2019: Parallel Processing, pp. 87-100, 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.

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