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Philipp A. Witte, Mathias Louboutin, Navjot Kukreja, Fabio Luporini, Michael Lange, Gerard J. Gorman, and Felix J. Herrmann, “A large-scale framework for symbolic implementations of seismic inversion algorithms in Julia”, Geophysics, vol. 84, pp. F57-F71, 2019.
Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, “A large-scale framework in Julia for fast prototyping of seismic inversion algorithms”, SINBAD Fall consortium talks. SINBAD, 2017.
Philipp A. Witte and Felix J. Herrmann, “A large-scale time-domain modeling and inversion workflow in Julia”, SINBAD Fall consortium talks. SINBAD, 2016.
Philipp A. Witte, Mathias Louboutin, Gerard Gorman, and Felix J. Herrmann, “A large-scale time-domain seismic modeling and inversion workflow in Julia”, UBC, TR-EOAS-2017-1, 2017.
Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, “Large-scale workflows for wave-equation based inversion in Julia”, in SIAM Conference on Computational Science and Engineering, 2017.
Mathias Louboutin, Michael Lange, Fabio Luporini, Navjot Kurjeka, Jan Hueckelheim, Gerard Gorman, Philipp A. Witte, and Felix J. Herrmann, “Latest developments in Devito”, SINBAD Fall consortium talks. SINBAD, 2017.
Mathias Louboutin, Ziyi Yin, Rafael Orozco, Thomas J. Grady II, Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, Olav Møyner, Gerard J. Gorman, and Felix J. Herrmann, “Learned multiphysics inversion with differentiable programming and machine learning”, The Leading Edge, vol. 42, pp. 452-516, 2023.
Felix J. Herrmann, Ali Siahkoohi, Rafael Orozco, Gabrio Rizzuti, Philipp A. Witte, and Mathias Louboutin, “Learned wave-based imaging - variational inference at scale”, in Delft, 2021.
Xintao Chai, Mengmeng Yang, Philipp A. Witte, Rongrong Wang, Zhilong Fang, and Felix J. Herrmann, “A linearized Bregman method for compressive waveform inversion”, in SEG Technical Program Expanded Abstracts, 2016, pp. 1449-1454.
Felix J. Herrmann, Mathias Louboutin, Ziyi Yin, and Philipp A. Witte, “Low-cost time-lapse seismic imaging of CCS with the joint recovery model”, in SEG Workshop on Geophysical Challenges in Presalt Carbonates; virtual, 2021.
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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.
Ali Siahkoohi, Rafael Orozco, Gabrio Rizzuti, Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, “Multifidelity conditional normalizing flows for physics-guided Bayesian inference”, ML4SEISMIC Partners Meeting. 2021.
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Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, “Overview on anisotropic modeling and inversion”, UBC, TR-EOAS-2015-6, 2015.
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Gabrio Rizzuti, Ali Siahkoohi, Philipp A. Witte, and Felix J. Herrmann, “Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization”, in SEG Technical Program Expanded Abstracts, 2020, pp. 1541-1545.
Philipp A. Witte, Christiaan C. Stolk, and Felix J. Herrmann, “Phase velocity error minimizing scheme for the anisotropic pure P-wave equation”, in SEG Technical Program Expanded Abstracts, 2016, pp. 452-457.
Philipp A. Witte, Christiaan C. Stolk, and Felix J. Herrmann, “Phase velocity error minimizing scheme for the anisotropic pure P-wave equation”, SINBAD Fall consortium talks. SINBAD, 2016.
Felix J. Herrmann, Gerard J. Gorman, Jan Hückelheim, Keegan Lensink, Paul H. J. Kelly, Navjot Kukreja, Henryk Modzelewski, Michael Lange, Mathias Louboutin, Fabio Luporini, Ali Siahkoohi, and Philipp A. Witte, “The power of abstraction in Computational Exploration Seismology”, in Smoky Mountains Computational Sciences and Engineering Conference, 2018.
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp A. Witte, and Felix J. Herrmann, “Preconditioned training of normalizing flows for variational inference in inverse problems”, in 3rd Symposium on Advances in Approximate Bayesian Inference, 2021.
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Philipp A. Witte, “Redwood – towards clusterless supercomputing in the cloud”, ML4SEISMIC Partners Meeting. 2021.
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Mathias Louboutin, Fabio Luporini, Philipp A. Witte, Rhodri Nelson, George Bisbas, Thorbecke, J., Felix J. Herrmann, and Gerard Gorman, “Scaling through abstractions – high-performance vectorial wave simulations for seismic inversion with Devito”, Georgia Institute of Technology, TR-CSE-2020-3, 2020.
Ali Siahkoohi, Philipp A. Witte, Mathias Louboutin, Felix J. Herrmann, and Gabrio Rizzuti, “Seismic Imaging with Uncertainty Quantification: Sampling from the Posterior with Generative Networks”, in SIAM Conference on Imaging Science, 2020.
Yuxiao Ren, Philipp A. Witte, Ali Siahkoohi, Mathias Louboutin, Ziyi Yin, and Felix J. Herrmann, “Seismic Velocity Inversion and Uncertainty Quantification Using Conditional Normalizing Flows”, in AGU Annual Meeting, 2021, p. U12A-03.
Philipp A. Witte, Mathias Louboutin, Charles Jones, and Felix J. Herrmann, “Serverless seismic imaging in the cloud”, in Rice Oil and Gas High Performance Computing Conference 2020, 2020.
Philipp A. Witte, “Software and algorithms for large-scale seismic inverse problems”, Georgia Institute of Technology, Atlanta, 2020.
Philipp A. Witte, Ning Tu, Ernie Esser, Mengmeng Yang, Mathias Louboutin, and Felix J. Herrmann, “Sparsity-promoting least-square migration with linearized Bregman and compressive sensing”, in Inaugural Full-Waveform Inversion Workshop, 2015.

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